Hassan Ugail

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Hassan Ugail (58)
Gabriela González Castro (10)
Yun Sheng (6)
Alexei Sourin (5)
Ian J Palmer (5)
Michael Athanasopoulos (5)
Gabriela González Castro (4)
Jianjun Zhang (4)
Lihua You (4)
Michael Judy Wilson (4)
Valerie E Lesk (4)
Irfan Mehmood (3)
J Monterde (3)
Malcolm I G Bloor (3)
Philip J Willis (3)
Carlton M Reeve (2)
Eyad Elyan (2)
Jon Purdy (2)
Mingyong Pang (2)
Xiaogang Jin (2)

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Journal/Magazine Names

The Visual Computer: International Journal of Computer Graphics (9)
Computer Aided Geometric Design (3)
Future Generation Computer Systems (3)
ACM Transactions on Graphics (1)
Advanced Engineering Informatics (1)
Advances in Engineering Software (1)
Applied Intelligence (1)
Cluster Computing (1)
Computers & Mathematics with Applications (1)
Computers and Electrical Engineering (1)
Computers and Graphics (1)
Computers and Structures (1)
Computing (1)
Engineering with Computers (1)
Graphical Models (1)
IET Computer Vision (1)
International Journal of Computer Games Technology (1)
Mathematical and Computer Modelling: An International Journal (1)

Proceedings/Book Names

CW '09: Proceedings of the 2009 International Conference on CyberWorlds (7)
CW '08: Proceedings of the 2008 International Conference on Cyberworlds (2)
CW '10: Proceedings of the 2010 International Conference on Cyberworlds (2)
CW '12: Proceedings of the 2012 International Conference on Cyberworlds (2)
CW '15: Proceedings of the 2015 International Conference on Cyberworlds (CW) (2)
ICCOMP'06: Proceedings of the 10th WSEAS international conference on Computers (2)
Transactions on computational science XII (2)
Computational Science – ICCS 2020 (1)
ISVC '08: Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II (1)
IVIC'11: Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part II (1)
Partial Differential Equations for Geometric Design (1)
Partial Differential Equations for Geometric Design (1)
Proceedings of the 9th IMA Conference on the Mathematics of Surfaces (1)
Proceedings of the international conference on Mathematical methods for curves and surfaces II Lillehammer, 1997 (1)
Special Issue on Cyberworlds and Cybersecurity on Transactions on Computational Science XXVIII - Volume 9590 (1)

All Publications

Other periodicals (30)
Proceedings (23)
Books (4)
Journals (1)

Publisher

Springer-Verlag (19)
IEEE Computer Society (15)
Elsevier Science Publishers B. V. (8)
Pergamon Press, Inc. (4)
Kluwer Academic Publishers (2)
Springer Publishing Company, Incorporated (2)
World Scientific and Engineering Academy and Society (WSEAS) (2)
Academic Press Professional, Inc. (1)
Association for Computing Machinery (1)
Elsevier Science Ltd. (1)
Hindawi Limited (1)
John Wiley & Sons, Inc. (1)
Vanderbilt University (1)

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research-article
Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse Pathologies
- Haroon Wahab
  Centre for Visual Computing & Intelligent Systems, University of Bradford, Bradford BD7 1DP, UK
  ,
- Irfan Mehmood
  Centre for Visual Computing & Intelligent Systems, University of Bradford, Bradford BD7 1DP, UK
  ,
- Hassan Ugail
  Centre for Visual Computing & Intelligent Systems, University of Bradford, Bradford BD7 1DP, UK
  ,
- Javier Del Ser
  TECNALIA, Basque Research and Technology Alliance (BRTA), 48160 Derio, Spain
  Department of Communications Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
  ,
- Khan Muhammad
  Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), Department of Applied Artificial Intelligence, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul 03063, Republic of Korea
Future Generation Computer Systems, Volume 152, Issue C•Mar 2024, pp 361-371 • https://doi.org/10.1016/j.future.2023.10.007
Highlights

Privacy-aware framework for anomaly recognition in WCE via federated learning.
Addressing the inconsistent data labels across capsule endoscopic datasets.
Critical analysis for federated vs centralized learning with non-sharing ...
Abstract
Wireless capsule endoscopy (WCE) is a revolutionary diagnostic method for small bowel pathology. The manual perusal of the resulting lengthy and redundant videos is cumbersome. Automated analysis of WCE video frames is an intricate data modeling ...
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research-article
Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities
- Haroon Wahab
  Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK
  ,
- Irfan Mehmood
  Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK
  ,
- Hassan Ugail
  Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK
  ,
- Arun Kumar Sangaiah
  International Graduate Institute of Artificial Intelligence, National Yunlin University of Science and Technology, Douliou, 64002, Taiwan
  Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon
  ,
- Khan Muhammad
  Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), Department of Applied Artificial Intelligence, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul 03063, Republic of Korea
Future Generation Computer Systems, Volume 143, Issue C•Jun 2023, pp 191-214 • https://doi.org/10.1016/j.future.2023.01.011
Abstract
Video capsule endoscopy (VCE) is a revolutionary technology for the early diagnosis of gastric disorders. However, owing to the high redundancy and subtle manifestation of anomalies among thousands of frames, the manual construal of ...
Highlights

A proposal of critical analysis of prior research for small bowel capsule endoscopy.
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Interactive PDE patch-based surface modeling from vertex-frames
- Shuangbu Wang
  Institute of Smart City and Intelligent Transportation, Southwest Jiaotong University, 611756, Chengdu, Sichuan, People’s Republic of China
  National Centre for Computer Animation, Bournemouth University, BH12 5BB, Bournemouth, UK
  ,
- Yu Xia
  National Centre for Computer Animation, Bournemouth University, BH12 5BB, Bournemouth, UK
  ,
- Lihua You
  National Centre for Computer Animation, Bournemouth University, BH12 5BB, Bournemouth, UK
  ,
- Hassan Ugail
  The Centre for Visual Computing, University of Bradford, BD7 1DP, Bradford, UK
  ,
- Alfonso Carriazo
  Department of Geometry and Topology, Faculty of Mathematics, University of Seville, Apdo. Correos 1160, 41080, Seville, Spain
  ,
- Andres Iglesias
  Department of Applied Mathematics and Computational Sciences, University of Cantabria, Avda. de los Castros s/n, 39005, Santander, Spain
  ,
- Jianjun Zhang
  National Centre for Computer Animation, Bournemouth University, BH12 5BB, Bournemouth, UK
Engineering with Computers, Volume 38, Issue 5•Oct 2022, pp 4367-4385 • https://doi.org/10.1007/s00366-022-01602-z
Abstract
Polygon, subdivision, and NURBS are three mainstream modeling techniques widely applied in commercial software packages. They require heavy manual operations, and involve a lot of design variables leading to big data, high storage costs and slow ... $^{}$ $^{}$
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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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A deep artificial neural network architecture for mesh free solutions of nonlinear boundary value problems
- Riya Aggarwal
  School of Mathematics and Physical Sciences, The University of Newcastle, 2308, Callaghan, NSW, Australia
  ,
- Hassan Ugail
  Centre for Visual Computing, University of Bradford, Bradford, UK
  ,
- Ravi Kumar Jha
  Indian National Centre for Ocean Information Services, Hyderabad, India
Applied Intelligence, Volume 52, Issue 1•Jan 2022, pp 916-926 • https://doi.org/10.1007/s10489-021-02474-4
Abstract
Seeking efficient solutions to nonlinear boundary value problems is a crucial challenge in the mathematical modelling of many physical phenomena. A well-known example of this is solving the Biharmonic equation relating to numerous problems in ...
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A framework for facial age progression and regression using exemplar face templates
- Ali Elmahmudi
  Centre for Visual Computing, University of Bradford, Bradford, UK
  ,
- Hassan Ugail
  Centre for Visual Computing, University of Bradford, Bradford, UK
The Visual Computer: International Journal of Computer Graphics, Volume 37, Issue 7•Jul 2021, pp 2023-2038 • https://doi.org/10.1007/s00371-020-01960-z
Abstract
Techniques for facial age progression and regression have many applications and a myriad of challenges. As such, automatic aged or de-aged face generation has become an important subject of study in recent times. Over the past decade or so, ...
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Cast Shadow Generation Using Generative Adversarial Networks
- Khasrouf Taif
  Centre for Visual Computing, University of Bradford, Bradford, UK
  ,
- Hassan Ugail
  Centre for Visual Computing, University of Bradford, Bradford, UK
  ,
- Irfan Mehmood
  Centre for Visual Computing, University of Bradford, Bradford, UK
Computational Science – ICCS 2020•June 2020, pp 481-495• https://doi.org/10.1007/978-3-030-50426-7_36
Abstract
We propose a computer graphics pipeline for 3D rendered cast shadow generation using generative adversarial networks (GANs). This work is inspired by the existing regression models as well as other convolutional neural networks such as the U-Net ...
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Deep face recognition using imperfect facial data
- Ali Elmahmudi
  Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK
  ,
- Hassan Ugail
  Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK
Future Generation Computer Systems, Volume 99, Issue C•Oct 2019, pp 213-225 • https://doi.org/10.1016/j.future.2019.04.025
Abstract
Today, computer based face recognition is a mature and reliable mechanism which is being practically utilised for many access control scenarios. As such, face recognition or authentication is predominantly performed using ‘perfect’ ...
Highlights

We show the performance of machine learning for face recognition using partial faces and other manipulations of the face such as rotation and zooming which ...
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A genuine smile is indeed in the eyes – The computer aided non-invasive analysis of the exact weight distribution of human smiles across the face
- Hassan Ugail
  Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK
  ,
- Ahmad Al-dahoud
  Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK
Advanced Engineering Informatics, Volume 42, Issue C•Oct 2019 • https://doi.org/10.1016/j.aei.2019.100967
Highlights

A lightweight computational framework to analyse the dynamics of human facial expressions is presented.
Abstract
Understanding the detailed differences between posed and spontaneous smiles is an important topic with a range of applications such as in human-computer interaction, automatic facial emotion analysis and in awareness systems. During ...
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Efficient and realistic character animation through analytical physics-based skin deformation
- Shaojun Bian
  Bournemouth University, Fern Barrow, Poole, Dorset, BH12 5BB, United Kingdom
  ,
- Zhigang Deng
  University of Houston, Houston, Texas, U.S.
  ,
- Ehtzaz Chaudhry
  Bournemouth University, Fern Barrow, Poole, Dorset, BH12 5BB, United Kingdom
  ,
- Lihua You
  Bournemouth University, Fern Barrow, Poole, Dorset, BH12 5BB, United Kingdom
  ,
- Xiaosong Yang
  Bournemouth University, Fern Barrow, Poole, Dorset, BH12 5BB, United Kingdom
  ,
- Lei Guo
  China Academy of Art, China
  ,
- Hassan Ugail
  University of Bradford, United Kingdom
  ,
- Xiaogang Jin
  Zhejiang University, China
  ,
- Zhidong Xiao
  Bournemouth University, Fern Barrow, Poole, Dorset, BH12 5BB, United Kingdom
  ,
- Jian Jun Zhang
  Bournemouth University, Fern Barrow, Poole, Dorset, BH12 5BB, United Kingdom
  Southwest Jiaotong University, China
Graphical Models, Volume 104, Issue C•Jul 2019 • https://doi.org/10.1016/j.gmod.2019.101035
Graphical abstract

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Physics-based skin deformation methods can greatly improve the realism of character animation, but require non-trivial training, intensive manual intervention, and heavy numerical calculations. Due to these limitations, it is generally ...
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Failure prediction using machine learning in a virtualised HPC system and application
- Bashir Mohammed
  School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK BD7 1DP
  ,
- Irfan Awan
  School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK BD7 1DP
  ,
- Hassan Ugail
  School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK BD7 1DP
  ,
- Muhammad Younas
  Department of Computing & Communication Technologies, Oxford Brookes University, Oxford, UK OX33 1HX
Cluster Computing, Volume 22, Issue 2•Mar 2019, pp 471-485 • https://doi.org/10.1007/s10586-019-02917-1

Failure is an increasingly important issue in high performance computing and cloud systems. As large-scale systems continue to grow in scale and complexity, mitigating the impact of failure and providing accurate predictions with sufficient lead time ...
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A PDE patch-based spectral method for progressive mesh compression and mesh denoising
- Qiqi Shen
  The School of Computer Science and Software Engineering, East China Normal University, Shanghai, China 200062
  ,
- Yun Sheng
  The School of Computer Science and Software Engineering, East China Normal University, Shanghai, China 200062
  ,
- Congkun Chen
  The School of Computer Science and Software Engineering, East China Normal University, Shanghai, China 200062
  ,
- Guixu Zhang
  The School of Computer Science and Software Engineering, East China Normal University, Shanghai, China 200062
  ,
- Hassan Ugail
  The Centre for Visual Computing, University of Bradford, Bradford, UK BD7 1DP
The Visual Computer: International Journal of Computer Graphics, Volume 34, Issue 11•November 2018, pp 1563-1577

The development of the patchwise partial differential equation (PDE) framework a few years ago has paved the way for the PDE method to be used in mesh signal processing. In this paper, we, for the first time, extend the use of the PDE method to ...
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Is gender encoded in the smile? A computational framework for the analysis of the smile driven dynamic face for gender recognition
- Hassan Ugail
  Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK BD7 1DP
  ,
- Ahmad Al-Dahoud
  Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK BD7 1DP
The Visual Computer: International Journal of Computer Graphics, Volume 34, Issue 9•September 2018, pp 1243-1254 • https://doi.org/10.1007/s00371-018-1494-x

Automatic gender classification has become a topic of great interest to the visual computing research community in recent times. This is due to the fact that computer-based automatic gender recognition has multiple applications including, but not ...
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Automatic age estimation from facial profile view
- Ali Maina Bukar
  Center for Visual Computing University of Bradford Richmond Road Bradford UK
  ,
- Hassan Ugail
  Center for Visual Computing University of Bradford Richmond Road Bradford UK
IET Computer Vision, Volume 11, Issue 8•December 2017, pp 650-655 • https://doi.org/10.1049/iet-cvi.2016.0486

In recent years, automatic facial age estimation has gained popularity due to its numerous applications. Much work has been done on frontal images and lately, minimal estimation errors have been achieved on most of the benchmark databases. However, in ...
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Auto-Parameterized Shape Grammar for Constructing Islamic Geometric Motif-Based Structures
- Zahra Sayed
  School of Media, Design and Technology, University of Bradford, Bradford, UK
  ,
- Hassan Ugail
  School of Media, Design and Technology, University of Bradford, Bradford, UK
  ,
- Ian Palmer
  School of Creative Industries, Pearson College, London, UK
  ,
- Jon Purdy
  Department of Computer Science, University of Hull, Hull, UK
  ,
- Carlton Reeve
  School of Media, Design and Technology, University of Bradford, Bradford, UK
Special Issue on Cyberworlds and Cybersecurity on Transactions on Computational Science XXVIII - Volume 9590•May 2016, pp 146-162• https://doi.org/10.1007/978-3-662-53090-0_8

The complex formation of Islamic Geometric Patterns IGP is one of the distinctive features in Islamic art and architecture. Many have attempted to reproduce these patterns in digital form, using various pattern generation techniques, in 2D. Shape ...
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Parameterized Shape Grammar for n-fold Generating Islamic Geometric Motifs
CW '15: Proceedings of the 2015 International Conference on Cyberworlds (CW)•October 2015, pp 79-85• https://doi.org/10.1109/CW.2015.54

The complex formation of Islamic geometric Patterns (IGP) is one of the distinctive features in Islamic art and architecture. Many have attempted to reproduce these patterns in digital form, using various pattern generation techniques. Shape grammars ...
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Graph Cut Based Mesh Segmentation Using Feature Points and Geodesic Distance
CW '15: Proceedings of the 2015 International Conference on Cyberworlds (CW)•October 2015, pp 115-120• https://doi.org/10.1109/CW.2015.31

Both prominent feature points and geodesic distance are key factors for mesh segmentation. With these two factors, this paper proposes a graph cut based mesh segmentation method. The mesh is first preprocessed by Laplacian smoothing. According to the ...
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Using a virtual environment to assess cognition in the elderly
- Valerie E. Lesk
  Division of Psychology, School of Social and International Studies, University of Bradford, Bradford, UK BD7 1DP
  ,
- Syadiah Nor Wan Shamsuddin
  School of Informatics and Computing, Universiti Sultan Zainal Abidin, Kuala Lumpur, Malaysia
  ,
- Elizabeth R. Walters
  Division of Psychology, School of Social and International Studies, University of Bradford, Bradford, UK BD7 1DP
  ,
- Hassan Ugail
  School of Computing, Informatics and Media, University of Bradford, Bradford, UK BD7 1DP
Virtual Reality, Volume 18, Issue 4•November 2014, pp 271-279 • https://doi.org/10.1007/s10055-014-0252-2

Early diagnosis of Alzheimer's disease (AD) is essential if treatments are to be administered at an earlier point in time before neurons degenerate to a stage beyond repair. In order for early detection to occur tools used to detect the disorder must be ...
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Partial Differential Equations for Geometric Design
- Hassan Ugail
The subject of Partial Differential Equations (PDEs) which first emerged in the 18th century holds an exciting and special position in the applications relating to the mathematical modelling of physical phenomena. The subject of PDEs has been developed ...
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Blending using ODE swept surfaces with shape control and $$C^1$$C1 continuity
- L. H. You
  National Centre for Computer Animation, Bournemouth University, Poole, UK
  ,
- H. Ugail
  Center for Visual Computing, University of Bardford, Bardford, UK
  ,
- B. P. Tang
  College of Mechanical Engineering, Chongqing University, Chongqing, China
  ,
- Xiaogang Jin
  State Key Lab of CAD & CG, Zhejiang University, 310058 Hangzhou, China
  ,
- X. Y. You
  Faculty of Engineering and Computing, Coventry University, Coventry, UK
  ,
- J. J. Zhang
  National Centre for Computer Animation, Bournemouth University, Poole, UK and Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China
The Visual Computer: International Journal of Computer Graphics, Volume 30, Issue 6-8•June 2014, pp 625-636 • https://doi.org/10.1007/s00371-014-0950-5

Surface blending with tangential continuity is most widely applied in computer-aided design, manufacturing systems, and geometric modeling. In this paper, we propose a new blending method to effectively control the shape of blending surfaces, which can ...
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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

Hassan Ugail

Hassan Ugail

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Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse Pathologies

Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities

Interactive PDE patch-based surface modeling from vertex-frames

Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications

A deep artificial neural network architecture for mesh free solutions of nonlinear boundary value problems

A framework for facial age progression and regression using exemplar face templates

Cast Shadow Generation Using Generative Adversarial Networks

Deep face recognition using imperfect facial data

A genuine smile is indeed in the eyes – The computer aided non-invasive analysis of the exact weight distribution of human smiles across the face

Efficient and realistic character animation through analytical physics-based skin deformation

Failure prediction using machine learning in a virtualised HPC system and application

A PDE patch-based spectral method for progressive mesh compression and mesh denoising

Is gender encoded in the smile? A computational framework for the analysis of the smile driven dynamic face for gender recognition

Automatic age estimation from facial profile view

Auto-Parameterized Shape Grammar for Constructing Islamic Geometric Motif-Based Structures

Parameterized Shape Grammar for n-fold Generating Islamic Geometric Motifs

Graph Cut Based Mesh Segmentation Using Feature Points and Geodesic Distance

Using a virtual environment to assess cognition in the elderly

Partial Differential Equations for Geometric Design

Blending using ODE swept surfaces with shape control and $$C^1$$C1 continuity