Adaptive Block Rearrangement Algorithms for Video-On-Demand Servers. - Nabil J. Sarhan; Chita R. Das (ICPP, 2001)

A Simulation-Based Analysis of Scheduling Policies for Multimedia Server. - Nabil J. Sarhan; Chita R. Das (Annual Simulation Symposium, 2003)

An Integrated Resource Sharing Policy for Multimedia Storage Servers Based on Network-Attached Disks. - Nabil J. Sarhan; Chita R. Das (ICDCS, 2003)

Providing Time of Service Guarantees in Video-On-Demand Servers. - Nabil J. Sarhan; Chita R. Das (WWW (Posters), 2003)

A New Class of Scheduling Policies for Providing Time of Service Guarantees in Video-On-Demand Servers. - Nabil J. Sarhan; Chita R. Das (MMNS, 2004)

Caching and Scheduling in NAD-Based Multimedia Servers. - Nabil J. Sarhan; Chita R. Das (IEEE Trans. Parallel Distributed Syst., 2004)

Analysis of Resource Sharing and Cache Management in Scalable Video-on-Demand. - Bashar Qudah; Nabil J. Sarhan (MASCOTS, 2006)

Towards scalable delivery of video streams to heterogeneous receivers. - Bashar Qudah; Nabil J. Sarhan (ACM Multimedia, 2006)

Towards Enhanced Resource Sharing in Video Streaming with Generalized Access Patterns. - Bashar Qudah; Nabil J. Sarhan (ICME, 2007)

Scalable delivery and pricing of streaming media with advertisements. - Musab Al-Hadrusi; Nabil J. Sarhan (ACM Multimedia, 2007)

Analysis of waiting-time predictability in scalable media streaming. - Mohammad A. Alsmirat; Musab Al-Hadrusi; Nabil J. Sarhan (ACM Multimedia, 2007)

Predictive cost-based scheduling for scalable media streaming. - Mohammad A. Alsmirat; Nabil J. Sarhan (ICME, 2008)

Performance and Waiting-Time Predictability Analysis of Design Options in Cost-Based Scheduling for Scalable Media Streaming. - Mohammad A. Alsmirat; Nabil J. Sarhan (MMM, 2009)

Workload-Aware Resource Sharing and Cache Management for Scalable Video Streaming. - Bashar Qudah; Nabil J. Sarhan (IEEE Trans. Circuits Syst. Video Technol., 2009)

Waiting-Time Prediction and QoS-based Pricing for Video Streaming with Advertisements. - Nabil J. Sarhan; Musab Al-Hadrusi (ISM, 2010)

Detailed Performance and Waiting-Time Predictability Analysis of Scheduling Options in On-Demand Video Streaming. - Mohammad A. Alsmirat; Nabil J. Sarhan (EURASIP J. Image Video Process., 2010)

Efficient delivery of on-demand video streams to heterogeneous receivers. - Bashar Qudah; Nabil J. Sarhan (ACM Trans. Multim. Comput. Commun. Appl., 2010)

Waiting-time prediction in scalable on-demand video streaming. - Nabil J. Sarhan; Mohammad A. Alsmirat; Musab Al-Hadrusi (ACM Trans. Multim. Comput. Commun. Appl., 2010)

Cross-Layer Optimization and Effective Airtime Estimation for Wireless Video Streaming. - Mohammad A. Alsmirat; Nabil J. Sarhan (ICCCN, 2012)

Accuracy and Power Consumption Tradeoffs in Video Rate Adaptation for Computer Vision Applications. - Yousef O. Sharrab; Nabil J. Sarhan (ICME, 2012)

Efficient Control of PTZ Cameras in Automated Video Surveillance Systems. - Musab Al-Hadrusi; Nabil J. Sarhan (ISM, 2012)

Detailed Comparative Analysis of VP8 and H.264. - Yousef O. Sharrab; Nabil J. Sarhan (ISM, 2012)

Client-Driven Price Selection for Scalable Video Streaming with Advertisements. - Musab Al-Hadrusi; Nabil J. Sarhan (MMM, 2012)

Design and analysis of scalable and interactive near video-on-demand systems. - Kamal K. Nayfeh; Nabil J. Sarhan (ICME, 2013)

Aggregate power consumption modeling of live video streaming systems. - Yousef O. Sharrab; Nabil J. Sarhan (MMSys, 2013)

Real-time multimedia computing. - SooKyun Kim; Henry B. L. Duh; Nabil J. Sarhan; Vladimir Hahanov (Multim. Tools Appl., 2013)

A scalable delivery solution and a pricing model for commercial video-on-demand systems with video advertisements. - Musab Al-Hadrusi; Nabil J. Sarhan (Multim. Tools Appl., 2014)

Client-side cache management for scalable and interactive video streaming. - Kamal K. Nayfeh; Nabil J. Sarhan (ICME, 2016)

A Clustering Approach for Controlling PTZ Cameras in Automated Video Surveillance. - Musab S. Al-Hadrusi; Nabil J. Sarhan; Sina G. Davani (ISM, 2016)

Cross-Layer Optimization for Automated Video Surveillance. - Mohammad A. Alsmirat; Nabil J. Sarhan (ISM, 2016)

A Scalable Solution for Interactive Near Video-on-Demand Systems. - Kamal K. Nayfeh; Nabil J. Sarhan (IEEE Trans. Circuits Syst. Video Technol., 2016)

Experimental Analysis of Bandwidth Allocation in Automated Video Surveillance Systems. - Sina Gholamnejad Davani; Nabil J. Sarhan (ACM Multimedia, 2017)

Modeling and Analysis of Power Consumption in Live Video Streaming Systems. - Yousef O. Sharrab; Nabil J. Sarhan (ACM Trans. Multim. Comput. Commun. Appl., 2017)

Cross-layer optimization for many-to-one wireless video streaming systems. - Mohammad A. Alsmirat; Nabil J. Sarhan (Multim. Tools Appl., 2018)

QRMODA and BRMODA: Novel Models for Face Recognition Accuracy in Computer Vision Systems with Adapted Video Streams. - Hayder Hamandi; Nabil J. Sarhan (CoRR, 2019)

Novel Analytical Models of Face Recognition Accuracy in Terms of Video Capturing and Encoding Parameters. - Hayder R. Hamandi; Nabil J. Sarhan (ICME, 2020)

A Low-Power, Digitally-Controlled, Multi-Stable, CMOS Analog Memory Circuit. - Melvin D. Edwards; Hamza Al Maharmeh; Nabil J. Sarhan; Mohammed Ismail 001; Mohammad Alhawari (MWSCAS, 2020)

Compute-in-Time for Deep Neural Network Accelerators: Challenges and Prospects. - Hamza Al Maharmeh; Nabil J. Sarhan; Chung-Chih Hung; Mohammed Ismail 001; Mohammad Alhawari (MWSCAS, 2020)

Intelligent optimization for automated video surveillance at the edge: A cross-layer approach. - Mohammad A. Alsmirat; Nabil J. Sarhan (Simul. Model. Pract. Theory, 2020)

A Two-Layer LSTM Deep Learning Model for Epileptic Seizure Prediction. - Shiva Maleki Varnosfaderani; Rihat Rahman; Nabil J. Sarhan; Levin Kuhlmann; Eishi Asano; Aimee F. Luat; Mohammad Alhawari (AICAS, 2021)

A Comparative Analysis of Time-Domain and Digital-Domain Hardware Accelerators for Neural Networks. - Hamza Al Maharmeh; Nabil J. Sarhan; Chung-Chih Hung; Mohammed Ismail 001; Mohammad Alhawari (ISCAS, 2021)

Comprehensive Analysis of EEG Datasets for Epileptic Seizure Prediction. - Rihat Rahman; Shiva Maleki Varnosfaderani; Omar Makke; Nabil J. Sarhan; Eishi Asano; Aimee F. Luat; Mohammad Alhawari (ISCAS, 2021)

Analysis of Artifacts Removal Techniques in EEG Signals for Energy-Constrained Devices. - Ian McNulty; Shiva Maleki Varnosfaderani; Omar Makke; Nabil J. Sarhan; Eishi Asano; Aimee F. Luat; Mohammad Alhawari (MWSCAS, 2021)

An Autonomous System for Efficient Control of PTZ Cameras. - Sina G. Davani; Musab S. Al-Hadrusi; Nabil J. Sarhan (ACM Trans. Auton. Adapt. Syst., 2021)

Experimental Analysis of Optimal Bandwidth Allocation in Computer Vision Systems. - Sina G. Davani; Nabil J. Sarhan (IEEE Trans. Circuits Syst. Video Technol., 2021)

Towards the availability of video communication in artificial intelligence-based computer vision systems utilizing a multi-objective function. - Yousef O. Sharrab; Izzat Alsmadi; Nabil J. Sarhan (Clust. Comput., 2022)

A CMOS Analog Neuron Circuit with A Multi-Level Memory. - Melvin D. Edwards; Nabil J. Sarhan; Mohammad Alhawari (ICM, 2023)

A Self-Aware Power Management Model for Epileptic Seizure Systems Based on Patient-Specific Daily Seizure Pattern. - Shiva Maleki Varnosfaderani; Rihat Rahman; Nabil J. Sarhan; Mohammad Alhawari (ICM, 2023)

Analysis of Dual-Row and Dual-Array Crossbars in Mixed Signal Deep Neural Networks. - Melvin D. Edwards; Nabil J. Sarhan; Mohammad Alhawari (MWSCAS, 2023)

Artifacts Removal Techniques for the European iEEG Dataset. - Shiva Maleki Varnosfaderani; Ian McNulty; Nabil J. Sarhan; Mohammad Alhawari (MWSCAS, 2023)

A 116 TOPS/W Spatially Unrolled Time-Domain Accelerator Utilizing Laddered-Inverter DTC for Energy-Efficient Edge Computing in 65 nm. - Hamza Al Maharmeh; Nabil J. Sarhan; Mohammed Ismail 001; Mohammad Alhawari (IEEE Open J. Circuits Syst., 2023)

Video coding deep learning-based modeling for long life video streaming over next network generation. - Mohammad A. Alsmirat; Yousef O. Sharrab; Monther Tarawneh; Sana'a Al-shboul; Nabil J. Sarhan (Clust. Comput., 2023)

Performance Evaluation of Epilepsy Prediction Model Based on Seizure' Type and Patients' Characteristics. - Shiva Maleki Varnosfaderani; Nabil J. Sarhan; Mohammad Alhawari (MWSCAS, 2024)

On the Robustness of Compressed Models with Class Imbalance. - Baraa Saeed Ali; Nabil J. Sarhan; Mohammed Alawad (Comput., 2024)

iHELP: a model for instant learning of video coding in VR/AR real-time applications. - Yousef O. Sharrab; Mohammad A. Alsmirat; Mohammad Ali H. Eljinini; Nabil J. Sarhan (Multim. Tools Appl., 2024)

An Efficient Epilepsy Prediction Model on European Dataset With Model Evaluation Considering Seizure Types. - Shiva Maleki Varnosfaderani; Ian McNulty; Nabil J. Sarhan; Waleed Abood; Mohammad Alhawari (IEEE J. Biomed. Health Informatics, 2024)