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ORCIDMajdi Maabreh
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2020 – today
- 2024
[j10]Shorouq Al-Eidi, Omar Darwish, Yuanzhu Chen, Majdi Maabreh
, Yahya M. Tashtoush:
A deep learning approach for detecting covert timing channel attacks using sequential data. Clust. Comput. 27(2): 1655-1665 (2024)- 2023
- [j9]Abeer Alsadoon, Ghazi Al-Naymat, Ahmed Hamza Osman, Belal Alsinglawi, Majdi Maabreh, Md. Rafiqul Islam:
DFCV: a framework for evaluation deep learning in early detection and classification of lung cancer. Multim. Tools Appl. 82(28): 44387-44430 (2023) - [c12]Vishnu Vardhan Baligodugula, Fathi Amsaad, Varshitha Vunnam Tadepalli, Vojjala Radhika, Yetukuri Sanjana, Sai Shiva, Supriya Meduri, Majdi Maabreh, Naser Alsaadi, Omar A. Darwish, Abdul Razaque, Yahya M. Tashtoush:
A Comparative Study of Secure and Efficient Data Duplication Mechanisms for Cloud-Based IoT Applications. ACR 2023: 569-586 - [c11]Omar Darwish, Yahya M. Tashtoush, Majdi Maabreh, Rana Al-essa, Ruba Aln'uman, Ammar Alqublan, Munther Abualkibash, Mahmoud Elkhodr:
Identifying Fake News in the Russian-Ukrainian Conflict Using Machine Learning. AINA (3) 2023: 546-557 - 2022
- [j8]Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, Khalil Khan, Junaid Qadir, Ala I. Al-Fuqaha:
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges. Comput. Sci. Rev. 43: 100452 (2022) - [j7]Yahya M. Tashtoush, Balqis Alrababah, Omar Darwish, Majdi Maabreh, Nasser Alsaedi:
A Deep Learning Framework for Detection of COVID-19 Fake News on Social Media Platforms. Data 7(5): 65 (2022) - [j6]Majdi Maabreh, Arwa Maabreh, Basheer Qolomany, Ala I. Al-Fuqaha:
The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights. Int. J. Distributed Sens. Networks 18(7): 155013292211051 (2022) - [j5]Yahya M. Tashtoush, Dirar A. Darweesh, Ola Karajeh, Omar A. Darwish, Majdi Maabreh, Safa' Swedat, Rawan Koraysh, Omar Almousa, Nasser Alsaedi:
Survey on authentication and security protocols and schemes over 5G networks. Int. J. Distributed Sens. Networks 18(10): 155013292211266 (2022) - [j4]Majdi Maabreh, Ibrahim Obeidat, Esraa Abu Elsoud, Asma Alnajjar, Rahaf Alzyoud, Omar Darwish:
Towards Data-Driven Network Intrusion Detection Systems: Features Dimensionality Reduction and Machine Learning. Int. J. Interact. Mob. Technol. 16(14): 123-135 (2022) - [c10]Omar Darwish, Sarah Herzallah, Majdi Maabreh, Shorouq Al-Eidi, Mahmoud Al-Maani, Yahya M. Tashtoush:
A Classifier to Detect Stream Applications Based on Network Traffic Statistical Metrics. ACIT 2022: 1-8 - [c9]Majdi Maabreh, Omar Darwish, Ola Karajeh, Yahya M. Tashtoush:
On developing deep learning models with particle swarm optimization in the presence of poisoning attacks. ACIT 2022: 1-5 - [c8]Aos Mulahuwaish, Manish Osti, Kevin Gyorick, Majdi Maabreh, Ajay Gupta, Basheer Qolomany:
CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets Using Deep Learning Models. ICHI 2022: 466-479 - [i3]Aos Mulahuwaish, Manish Osti, Kevin Gyorick, Majdi Maabreh, Ajay Gupta, Basheer Qolomany:
CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Models. CoRR abs/2209.05667 (2022) - 2021
- [j3]Yahya M. Tashtoush, Israa Haj-Mahmoud, Omar Darwish, Majdi Maabreh, Belal Alsinglawi, Mahmoud Elkhodr, Nasser Alsaedi:
Enhancing Robots Navigation in Internet of Things Indoor Systems. Comput. 10(11): 153 (2021) - 2020
- [i2]Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, Khalil Khan, Junaid Qadir, Ala I. Al-Fuqaha:
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges. CoRR abs/2012.09110 (2020)
2010 – 2019
- 2019
- [c7]Omar Darwish, Majdi Maabreh, Ola Karajeh, Belal Alsinglawi:
Source Codes Classification Using a Modified Instruction Count Pass. AINA Workshops 2019: 897-906 - 2018
- [j2]Majdi Maabreh, Hafez Irshid, Ajay Gupta, Izzat Alsmadi:
A multithreading and hashing technique for indexing Target-Decoy peptides databases. Concurr. Comput. Pract. Exp. 30(9) (2018) - 2017
- [c6]Majdi Maabreh, Ajay Gupta, Izzat Alsmadi:
Towards Centralized MS/MS Spectra Preprocessing: An Empirical Evaluation of Peptides Search Engines using Ground Truth Datasets. BIBE 2017: 194-199 - [c5]Majdi Maabreh, Basheer Qolomany, Ajay Gupta, James R. Springstead:
Optimizing Protein Search Engines using Particle Swarm Optimization. BIBE 2017: 340-345 - [c4]Majdi Maabreh, Basheer Qolomany, James R. Springstead, Izzat Alsmadi, Ajay Gupta:
Deep vs. shallow learning-based filters of MS/MS spectra in support of protein search engines. BIBM 2017: 1175-1182 - [c3]Majdi Maabreh, Basheer Qolomany, Izzat Alsmadi, Ajay Gupta:
Deep learning-based MSMS spectra reduction in support of running multiple protein search engines on cloud. BIBM 2017: 1909-1914 - [c2]Basheer Qolomany, Majdi Maabreh, Ala I. Al-Fuqaha, Ajay Gupta, Driss Benhaddou:
Parameters optimization of deep learning models using Particle swarm optimization. IWCMC 2017: 1285-1290 - [i1]Basheer Qolomany, Majdi Maabreh, Ala I. Al-Fuqaha, Ajay Gupta, Driss Benhaddou:
Parameters Optimization of Deep Learning Models using Particle Swarm Optimization. CoRR abs/1711.10354 (2017) - 2016
- [c1]Majdi Maabreh, Ajay Gupta, Fahad Saeed:
A parallel peptide indexer and decoy generator for crux tide using OpenMP. HPCS 2016: 411-418 - 2012
- [j1]Majdi Maabreh, Mohammed Al-Kabi, Izzat Mahmoud Alsmadi:
Query classification and study of university students' search trends. Program 46(2): 220-241 (2012)
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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