Fathi E Abd El-Samie

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research-article
Real-time Arabic avatar for deaf-mute communication enabled by deep learning sign language translation
- Fatma M. Talaat
  Dept. of Machine Learning and Information Retrieval, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt
  Faculty of Computer Science & Engineering, New Mansoura University, Gamasa, 35712, Egypt
  ,
- Walid El-Shafai
  Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh, 11586, Saudi Arabia
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt
  ,
- Naglaa F. Soliman
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
  ,
- Abeer D. Algarni
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
  ,
- Fathi E. Abd El-Samie
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
  ,
- Ali I. Siam
  Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt
Computers and Electrical Engineering, Volume 119, Issue PA•Oct 2024 • https://doi.org/10.1016/j.compeleceng.2024.109475
Abstract
Deaf-mute individuals encounter substantial difficulties in their daily lives due to communication impediments. These individuals may encounter difficulties in social contact, communication, and capacity to acquire knowledge and engage in ...
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Efficient Blind Signal Separation Algorithms for Wireless Multimedia Communication Systems
- R. Ali
  https://ror.org/05sjrb944Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Menouf, Egypt
  ,
- O. Zahran
  https://ror.org/05sjrb944Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Menouf, Egypt
  ,
- Fathi E. Abd El-Samie
  https://ror.org/05sjrb944Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Menouf, Egypt
  https://ror.org/05b0cyh02 Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
  ,
- Salwa M. Serag Eldin
  https://ror.org/014g1a453Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. 11099, 21944, Taif, Saudi Arabia
  https://ror.org/016jp5b92Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt
Wireless Personal Communications: An International Journal, Volume 138, Issue 2•Sep 2024, pp 745-767 • https://doi.org/10.1007/s11277-024-11494-5
Abstract
This paper studied the problem of multi-user blind signal separation (BSS) in wireless communications. The existing separation algorithms work on quadrature phase shift keying (QPSK). Through our work, two proposed algorithms were presented to ...
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Enhanced user verification in IoT applications: a fusion-based multimodal cancelable biometric system with ECG and PPG signals
- Ali I. Siam
  https://ror.org/04a97mm30Department of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafr Al Sheikh, Egypt
  ,
- Walid El-Shafai
  https://ror.org/053mqrf26Security Engineering Lab, Computer Science Department, Prince Sultan University, 11586, Riyadh, Saudi Arabia
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Lamiaa A. Abou Elazm
  https://ror.org/0532wcf75Department of Microelectronics, Electronics Research Institute, Nozha, Egypt
  ,
- Nirmeen A. El-Bahnasawy
  https://ror.org/05sjrb944Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Fathi E. Abd El-Samie
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  https://ror.org/05b0cyh02Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
  ,
- Atef Abou Elazm
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Ghada M. El-Banby
  https://ror.org/05sjrb944Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
Neural Computing and Applications, Volume 36, Issue 12•Apr 2024, pp 6575-6595 • https://doi.org/10.1007/s00521-023-09394-z
Abstract
The core premise of cancelable biometrics lies in the creation of a distinct biometric template for every individual, which can be either canceled or regenerated as needed. This process requires the use of a uniquely-defined key during the ...
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Secure Transmission in Wireless Sensor Networks via Reconfigurable Intelligent Surface
- Asmaa Amer
  Department of Electronics and Electrical Communications Engineering, Menoufia University, Menouf, 32952, Menoufia, Egypt
  ,
- Fathi E. Abd El-Samie
  Department of Electronics and Electrical Communications Engineering, Menoufia University, Menouf, 32952, Menoufia, Egypt
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
  ,
- A. Abdelaziz Salem
  Department of Electronics and Electrical Communications Engineering, Menoufia University, Menouf, 32952, Menoufia, Egypt
  ,
- Mona Shokair
  Department of Electronics and Electrical Communications Engineering, Menoufia University, Menouf, 32952, Menoufia, Egypt
  ,
- A.M. Benaya
  Department of Electronics and Electrical Communications Engineering, Menoufia University, Menouf, 32952, Menoufia, Egypt
Digital Signal Processing, Volume 140, Issue C•Aug 2023 • https://doi.org/10.1016/j.dsp.2023.104083
Abstract
Nowadays, reconfigurable intelligent surfaces (RISs) are broadly used due to their flexibility and cost-effectiveness in controlling the wireless environment with low-cost passive reflecting elements. In addition, RIS-assisted systems ...
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Proposed RIS-assisted WSNs with a friendly jammer for enhanced security.
...
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Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review
- Samy Abd El-Nabi
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  Department of Artificial Intelligence Engineering, Faculty of Computer Science and Engineering, King Salman International University (KSIU), 46511, South Sinai, Egypt
  ,
- Walid El-Shafai
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  https://ror.org/053mqrf26Security Engineering Lab, Computer Science Department, Prince Sultan University, 11586, Riyadh, Saudi Arabia
  ,
- El-Sayed M. El-Rabaie
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Khalil F. Ramadan
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Fathi E. Abd El-Samie
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  https://ror.org/05b0cyh02Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
  ,
- Saeed Mohsen
  Department of Artificial Intelligence Engineering, Faculty of Computer Science and Engineering, King Salman International University (KSIU), 46511, South Sinai, Egypt
  Department of Electronics and Communications Engineering, Al-Madinah Higher Institute for Engineering and Technology, 12947, Giza, Egypt
Multimedia Tools and Applications, Volume 83, Issue 3•Jan 2024, pp 9441-9477 • https://doi.org/10.1007/s11042-023-15054-0
Abstract
There are several factors for vehicle accidents during driving such as drivers’ negligence, drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time. Moreover, recent developments in computer vision and artificial ...
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Efficient frameworks for statistical seizure detection and prediction
- Ali Ahmed Khalil
  https://ror.org/02hcv4z63Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Minia University, 61111, Minia, Egypt
  Information and Digital Transformation Department, Institute of Public Administration, Riyadh, Saudi Arabia
  ,
- Mostafa I. El Sayeid
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Fatma E. Ibrahim
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Ashraf A. M. Khalaf
  https://ror.org/02hcv4z63Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Minia University, 61111, Minia, Egypt
  ,
- Entessar Gemeay
  https://ror.org/014g1a453Department of Computer Engineering, Computer and Information Technology College, Taif University, Taif, Saudi Arabia
  https://ror.org/016jp5b92Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt
  ,
- Hossam Kasem
  https://ror.org/016jp5b92Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt
  ,
- Salah Eldeen A. Khamis
  https://ror.org/016jp5b92Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt
  ,
- Ghada M. El-Banby
  Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufa University, 32952, Menouf, Egypt
  ,
- Walid El-Shafai
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  https://ror.org/053mqrf26Security Engineering Lab, Computer Science Department, Prince Sultan University, 11586, Riyadh, Saudi Arabia
  ,
- El-Sayed M. El-Rabaie
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Adel S. El-Fishawy
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Moawad I. Dessouky
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Ibrahim M. El-Dokany
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Turkey Alotaiby
  KACST, 11442, Riyadh, Kingdom of Saudi Arabia
  ,
- Saleh A. Alshebeili
  https://ror.org/02f81g417KACST‑TIC in Radio Frequency and Photonics for the E‑Society (RFTONICS), King Saud University, 11421, Riyadh, Saudi Arabia
  https://ror.org/02f81g417Department of Electrical Engineering, King Saud University, 11421, Riyadh, Saudi Arabia
  ,
- Fathi E. Abd El-Samie
  https://ror.org/05sjrb944Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  https://ror.org/05b0cyh02Department of Information Technology, College of Computer and Information sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
The Journal of Supercomputing, Volume 79, Issue 16•Nov 2023, pp 17824-17858 • https://doi.org/10.1007/s11227-022-05030-0
Abstract
This paper presents two efficient frameworks for seizure detection and prediction that depend on statistical analysis. The common thread between them is the selection of certain attributes extracted from the electroencephalography (EEG) signals ...
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Efficient Framework for Video Communication in IoT Applications
- Walid El-Shafai
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  Security Engineering Lab, Computer Science Department, Prince Sultan University, 11586, Riyadh, Saudi Arabia
  ,
- Amany Daosh
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Nehad Haggag
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Aya M. Gamal
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Nevein Sadic
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Yasser Mahrous
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Fatma E. Ibrahim
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Naglaa F. Soliman
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
  ,
- Abeer D. Algarni
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
  ,
- Ghada M. El-Banby
  Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Mohamed R. Abdel-Rahman
  Department of Electrical Engineering, King Saud University, Riyadh, Saudi Arabia
  ,
- Saeed A. Aldosari
  Department of Electrical Engineering, King Saud University, Riyadh, Saudi Arabia
  ,
- Emad S. Hassan
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  Department of Electrical Engineering, College of Engineering, Jazan University, 45142, Jazan, Saudi Arabia
  ,
- Huda I. Ashiba
  Department of Electronics and Electrical Communications, Bilbis Higher Institute of Engineering, Bilbis, Sharqia, Egypt
  ,
- Eman A. Sultan
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Waleed Al-Hanafy
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Adel A. Saleeb
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Adel S. El-Fishawy
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- El-Sayed M. El-Rabaie
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Mohamed El-Halawany
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Moawad I. Dessouky
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Sami A. El Dolil
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Nabil A. Ismail
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Ibrahim M. Eldokany
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Atef Abou Elazm
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Fathi E. Abd El-Samie
  Department Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
Wireless Personal Communications: An International Journal, Volume 129, Issue 1•Mar 2023, pp 1-35 • https://doi.org/10.1007/s11277-022-09491-7
Abstract
This paper is mainly concerned with video watermarking as a tool to secure the video transmission process over wireless channels. In addition, the relatability of the communication process is guaranteed through a hybrid error control scheme. The ...
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New Proposed Algorithms for Infrared Video Sequences Non-uniformity Correction
- H. I. Ashiba
  Department of Electronics and Electrical Communications Engineering, Bilbis Higher Institute of Engineering, Bilbis, Sharqia, Egypt
  ,
- Nevein Sadic
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Emad S. Hassan
  Department of Electrical Engineering, College of Engineering, Jazan University, 45142, Jizan, Saudi Arabia
  ,
- Sami El-Dolil
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Fathi E. Abd El-Samie
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
Wireless Personal Communications: An International Journal, Volume 126, Issue 2•Sep 2022, pp 1051-1073 • https://doi.org/10.1007/s11277-022-09782-z
Abstract
Infrared (IR) video sequences Improvement is a difficult task because of many factors for example low dynamic range, noise and Non-Uniformity (NU) effect. The NU is a time-dependent noise that appears due to the lack of sensor equalization. So, it ...
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Detection of Abnormal Activities from Various Signals Based on Statistical Analysis
- Saly Abd-Elateif El-Gindy
  Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Minia University, 61111, Minia, Egypt
  High Institute for Engineering & Technology-Obour, K 21Cairo/ Belbeis Rd, Obour, Egypt
  ,
- Fatma E. Ibrahim
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Mohamed Alabasy
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Hesham M. Abdelzaher
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Mahmoud El-Refy
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Ashraf A. M. Khalaf
  Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Minia University, 61111, Minia, Egypt
  ,
- Sami M. El-Dolil
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Adel S. El-Fishawy
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Taha E. Taha
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- El-Sayed M. El-Rabaie
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Moawad I. Dessouky
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Ibrahim El-Dokany
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Osama A. Oraby
  Electrical Engineering Department, Faculty of Engineering, Damiatta University, Damiatta, Egypt
  ,
- Turky N. Alotaiby
  KACST, 11442, Riyadh, Kingdom of Saudi Arabia
  ,
- Saleh A. Alshebeili
  KACST-TIC in Radio Frequency and Photonics for the E-Society (RFTONICS), King Saud University, 11421, Riyadh, Saudi Arabia
  Department of Electrical Engineering, King Saud University, 11421, Riyadh, Saudi Arabia
  ,
- Fathi E. Abd El-Samie
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  Department of Information Technology, College of Computer and Information sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
Wireless Personal Communications: An International Journal, Volume 125, Issue 2•Jul 2022, pp 1013-1046 • https://doi.org/10.1007/s11277-022-09565-6
Abstract
Low-frequency signals comprise different types such as Electroencephalogram (EEG), gyroscope and seismic signals. Processing of EEG signals is performed for tasks such as seizure prediction and detection. On the other hand, processing of seismic ...
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Proposed neural SAE-based medical image cryptography framework using deep extracted features for smart IoT healthcare applications
- Walid El-Shafai
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  Security Engineering Lab, Computer Science Department, Prince Sultan University, 11586, Riyadh, Saudi Arabia
  ,
- Fatma Khallaf
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  Department of Electrical Engineering, Faculty of Engineering, Ahram Canadian University, 6th October City, Giza, Egypt
  ,
- El-Sayed M. El-Rabaie
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Fathi E. Abd El-Samie
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Neural Computing and Applications, Volume 34, Issue 13•Jul 2022, pp 10629-10653 • https://doi.org/10.1007/s00521-022-06994-z
Abstract
Image cryptography based on chaos algorithms is widely employed in modern security systems in telemedicine Internet of Things (IoT) applications. One of the main drawbacks of the state-of-the-art chaos encryption algorithms is that they are not ...
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Efficient deep learning approach for augmented detection of Coronavirus disease
- Ahmed Sedik
  Department of the Robotics and Intelligent Machines, Kafrelsheikh University, Kafrelsheikh, Egypt
  ,
- Mohamed Hammad
  Information Technology Department, Faculty of Computers and Information, Menoufia University, Shebeen El-Kom, Egypt
  ,
- Fathi E. Abd El-Samie
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufa University, 32952, Menouf, Egypt
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, 84428, Riyadh, Saudi Arabia
  ,
- Brij B. Gupta
  National Institute of Technology, Kurukshetra, India
  Department of Computer Science and Information Engineering, Asia University, Taichung City, Taiwan
  ,
- Ahmed A. Abd El-Latif
  Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, 32511, Shebeen El-Kom, Egypt
Neural Computing and Applications, Volume 34, Issue 14•Jul 2022, pp 11423-11440 • https://doi.org/10.1007/s00521-020-05410-8
Abstract
The new Coronavirus disease 2019 (COVID-19) is rapidly affecting the world population with statistics quickly falling out of date. Due to the limited availability of annotated Coronavirus X-ray and CT images, the detection of COVID-19 remains the ...
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Cancelable speaker identification based on cepstral coefficients and comb filters
- Mohamed Monir
  Sharm El-Shaikh Airport, Sharm El Sheikh, Egypt
  ,
- Mona Kareem
  Sharm El-Shaikh Airport, Sharm El Sheikh, Egypt
  ,
- Sami M. El-Dolil
  Communications and Electronics Department, Faculty of Electronic Engineering, Manoufia University, Menouf, Egypt
  ,
- Adel Saleeb
  Communications and Electronics Department, Faculty of Electronic Engineering, Manoufia University, Menouf, Egypt
  ,
- Adel S. El-Fishawy
  Communications and Electronics Department, Faculty of Electronic Engineering, Manoufia University, Menouf, Egypt
  ,
- Mohamed Abd-Elsalam Nassar
  Communications and Electronics Department, Faculty of Electronic Engineering, Manoufia University, Menouf, Egypt
  ,
- Mohamed A. Zein Eldin
  Communications and Electronics Department, Faculty of Electronic Engineering, Manoufia University, Menouf, Egypt
  ,
- Fathi E. Abd El-Samie
  Communications and Electronics Department, Faculty of Electronic Engineering, Manoufia University, Menouf, Egypt
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
International Journal of Speech Technology, Volume 25, Issue 2•Jun 2022, pp 471-492 • https://doi.org/10.1007/s10772-021-09804-4
Abstract
This paper presents a proposed approach for cancelable biometric recognition related to speaker identification. Both comb and inverse comb filters are used to distort speech signals intentionally prior to and after feature extraction. The ...
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An efficient modulation classification method using signal constellation diagrams with convolutional neural networks, Gabor filtering, and thresholding
- Mohamed A. Abdel‐Moneim
  Department of Telecommunication, Faculty of Engineering Egyptian Russian University Cairo Egypt
  ,
- Rasha M. Al‐Makhlasawy
  Department of Computers and Systems Electronics Research Institute El Nozha ElGededa Egypt
  ,
- Nariman Abdel‐Salam Bauomy
  Department of Electronics and Communications Engineering, Faculty of Engineering Canadian International College (CIC) Cairo Governorate Egypt
  ,
- El‐Sayed M. El‐Rabaie
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt
  ,
- Walid El‐Shafai
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt
  Security Engineering Laboratory, Department of Computer Science Prince Sultan University Riyadh Saudi Arabia
  ,
- Ahmed E. A. Farghal
  Department of Electrical Engineering, Faculty of Engineering Sohag University Sohag Egypt
  ,
- Fathi E. Abd El‐Samie
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt
Transactions on Emerging Telecommunications Technologies, Volume 33, Issue 5•May 2022 • https://doi.org/10.1002/ett.4459
Abstract
Recently, automatic modulation classification (AMC) has extensively and commonly been utilized in several modern wireless communication systems as a significant tool of signal detection for civilian and military applications and cognitive radio ...
Recently, automatic modulation classification (AMC) has been extensively utilized in several modern wireless communication systems as an important tool of signal identification for cognitive radio. In this article, we propose a new data conversion method ...
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Efficient cancellable multi-biometric recognition system based on deep learning and bio-hashing
- Basma Abd El-Rahiem
  Mathematics and Computer Science Department, Faculty of Science, Menoufia University, Shebin El-Koom, Egypt
  ,
- Fathi E. Abd El Samie
  Department of Information Technology, College of Computer and Information sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt
  ,
- Mohamed Amin
  Mathematics and Computer Science Department, Faculty of Science, Menoufia University, Shebin El-Koom, Egypt
Applied Intelligence, Volume 53, Issue 2•Jan 2023, pp 1792-1806 • https://doi.org/10.1007/s10489-021-03153-0
Abstract
Cancellable biometrics have been enrolled in several applications such as cloud computing and cyber security. This makes researchers investigate their approaches in this field. This paper presents a Cancellable Multi-Biometric System (CMBS) based ...
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Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications
- Mohamed Hammad
  Information Technology Department, Faculty of Computers and Information, Menoufia University, Egypt
  ,
- Ahmed A. Abd El-Latif
  EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
  Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, 32511, Egypt
  ,
- Amir Hussain
  School of Computing, Edinburgh Napier University, Scotland, UK
  ,
- Fathi E. Abd El-Samie
  Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Egpt
  ,
- Brij B. Gupta
  Department of Computer Science and Information Engineering, Asia University, Taichung 413, Taiwan
  LAU, Beirut, Lebanon
  iStaffordshire University, Stoke-on-Trent ST4 2DE, UK
  ,
- Hassan Ugail
  Centre for Visual Computing, University of Bradford, Bradford, UK
  ,
- Ahmed Sedik
  Department of Robotics and Intelligent Machines, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt
Computers and Electrical Engineering, Volume 100, Issue C•May 2022 • https://doi.org/10.1016/j.compeleceng.2022.108011
Highlights

A novel deep learning models for arrhythmia detection in IoT healthcare applications are proposed.
Abstract
In this paper, novel convolutional neural network (CNN) and convolutional long short-term (ConvLSTM) deep learning models (DLMs) are presented for automatic detection of arrhythmia for IoT applications. The input ECG signals are ...
Graphical abstract
Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications.

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Efficient cancelable speaker identification system based on a hybrid structure of DWT and SVD
- Khaled M. Abdelwahab
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Saied Abd El-atty
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Ayman M. Brisha
  Electronic Technology Department, Faculty of Technology and Education, Beni Suef University, Beni Suef, Egypt
  ,
- Fathi E. Abd El-Samie
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
International Journal of Speech Technology, Volume 25, Issue 1•Mar 2022, pp 279-288 • https://doi.org/10.1007/s10772-020-09778-9
Abstract
Traditional biometric systems are subjected to several attacks. If the original database of human biometrics is compromised, the biometric data is lost forever. This paper presents a sophisticated implementation of one of the watermarking ...
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An efficient multimedia compression-encryption scheme using latin squares for securing Internet-of-things networks
- Walid El-Shafai
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menoufia, Egypt
  Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh 11586 Saudi Arabia
  ,
- Ahmed K. Mesrega
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menoufia, Egypt
  ,
- Hossam Eldin H. Ahmed
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menoufia, Egypt
  ,
- Nirmeen A. El-Bahnasawy
  Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menoufia, Egypt
  ,
- Fathi E. Abd El-Samie
  Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menoufia, Egypt
  Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia
Journal of Information Security and Applications, Volume 64, Issue C•Feb 2022 • https://doi.org/10.1016/j.jisa.2021.103039
Abstract
The security of multimedia content and its applications have become a a very important task in digital communication technology. The extensive use of multimedia content over wireless networks makes the network applications exposed to ...
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Proposed Approaches for Cooperative Cognitive Radio
- Nahid Gomaa
  Department of Electronics and Electrical Communications Engineering, Bilbis Higher Institute of Engineering, Bilbis, Sharqia, Egypt
  ,
- H. I. Ashiba
  Department of Electronics and Electrical Communications Engineering, Bilbis Higher Institute of Engineering, Bilbis, Sharqia, Egypt
  ,
- Sami A. El-Dolil
  Department of Electronics and Electrical Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
  ,
- Mohamed Fouad
  Faculty of Engineering, Zagazig University, Zagazig, Egypt
  ,
- Fathi E. Abd El-Samie
  Department of Electronics and Electrical Engineering, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt
Multimedia Tools and Applications, Volume 81, Issue 4•Feb 2022, pp 5645-5668 • https://doi.org/10.1007/s11042-021-11703-4
Abstract
This paper in this topic concentrates on an important part is spectrum sensing (SS). It can detect the idle hole in spectrum by detection methods. This paper uses the sensing technique is called energy detector(ED). The ED depends on only the ...
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Deploying Machine Learning Techniques for Human Emotion Detection
- Bai Yuan Ding,
- Ali I. Siam
  Department of Embedded Network Systems TechnologyFaculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgyptkfs.edu.eg
  ,
- Naglaa F. Soliman
  Department of Information TechnologyCollege of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 84428Saudi Arabiapnu.edu.sa
  ,
- Abeer D. Algarni
  Department of Information TechnologyCollege of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 84428Saudi Arabiapnu.edu.sa
  ,
- Fathi E. Abd El-Samie
  Department of Information TechnologyCollege of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 84428Saudi Arabiapnu.edu.sa
  ,
- Ahmed Sedik
  Department of the Robotics and Intelligent MachinesFaculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgyptkfs.edu.eg
Computational Intelligence and Neuroscience, Volume 2022•2022 • https://doi.org/10.1155/2022/8032673
Emotion recognition is one of the trending research fields. It is involved in several applications. Its most interesting applications include robotic vision and interactive robotic communication. Human emotions can be detected using both speech and visual ...
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Performance improvement of data transmission using a hybrid underwater and terrestrial system
- Khalil F. Ramadan
  Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt
  ,
- Khaled Ramadan
  Department of Electronics and Electrical Communication Engineering The Higher Institute of Engineering at Al‐Shorouk City Cairo Egypt
  ,
- Taha E. Taha
  Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt
  ,
- Moawad I. Dessouky
  Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt
  ,
- Fathi E. Abd El‐Samie
  Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt
Transactions on Emerging Telecommunications Technologies, Volume 32, Issue 9•September 2021 • https://doi.org/10.1002/ett.4247
Abstract
In this paper, we investigate and enhance the performance of data transmission using a hybrid underwater and terrestrial system with low‐complexity linear equalization. Due to the low speed, salinity, water depth, pH degree, and water temperature ...

The proposed communication system consists of two segments: the underwater segment that can be implemented by acoustic waves, and the second segment in the air that can be implemented by electromagnetic waves. Note that the transducer in the underwater ...
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Author Profile Pages

Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples:
History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:
- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.

Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
Future Direction: The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.

A direct search interface for Author Profiles will be built.

An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.

It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.

Bibliometrics

The ACM DL is a comprehensive repository of publications from the entire field of computing.

It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.

Average citations per article = The total Citation Count divided by the total Publication Count.
Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)

ACM Author-Izer Service

Summary Description

ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.

Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.

ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.

To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.

How ACM Author-Izer Works

Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.

The Service can be applied to all the articles you have ever published with ACM.

Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.

For authors who do not have a free ACM Web Account:

Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.

For authors who have an ACM web account, but have not edited their ACM Author Profile page:

Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.

For authors who have an account and have already edited their Profile Page:

Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"

ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.

Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.

FAQ

Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
Q. What articles are eligible for ACM Author-Izer?
A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.

Q. Are there any restrictions on authors to use this service?
A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.

Q. What are the requirements to use this service?
A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.

Q. What is an ACM Author Profile Page?
A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.

Q. How do I find my Author Profile page and take ownership?
A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours

Q. Why does my photo not appear?
A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters

Q. What if I cannot find the Add Personal Information function on my author page?
A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.

Q. What happens if an author changes the location of his bibliography or moves to a new institution?
A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.

Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.

However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.

Q. What happens if the author’s bibliography lives on a page with several aliases?
A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.

Q. Why should authors use ACM Author-Izer?
A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.

Q. Does ACM Author-Izer provide benefits for authors?
A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.

Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.

Q. How does ACM Author-Izer benefit the computing community?
A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.

In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.

Q. How do authors access ACM Author-Izer?
A. See How to Use

Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.

Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner

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Real-time Arabic avatar for deaf-mute communication enabled by deep learning sign language translation

Efficient Blind Signal Separation Algorithms for Wireless Multimedia Communication Systems

Enhanced user verification in IoT applications: a fusion-based multimodal cancelable biometric system with ECG and PPG signals

Secure Transmission in Wireless Sensor Networks via Reconfigurable Intelligent Surface

Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review

Efficient frameworks for statistical seizure detection and prediction

Efficient Framework for Video Communication in IoT Applications

New Proposed Algorithms for Infrared Video Sequences Non-uniformity Correction

Detection of Abnormal Activities from Various Signals Based on Statistical Analysis

Proposed neural SAE-based medical image cryptography framework using deep extracted features for smart IoT healthcare applications

Efficient deep learning approach for augmented detection of Coronavirus disease

Cancelable speaker identification based on cepstral coefficients and comb filters

An efficient modulation classification method using signal constellation diagrams with convolutional neural networks, Gabor filtering, and thresholding

Efficient cancellable multi-biometric recognition system based on deep learning and bio-hashing

Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications

Efficient cancelable speaker identification system based on a hybrid structure of DWT and SVD

An efficient multimedia compression-encryption scheme using latin squares for securing Internet-of-things networks

Proposed Approaches for Cooperative Cognitive Radio

Deploying Machine Learning Techniques for Human Emotion Detection

Performance improvement of data transmission using a hybrid underwater and terrestrial system