Automatic Vision Based Classification System Using DNN and SVM Classifiers. - Vickneswari Durairajah; Suresh Gobee; Amgad Muneer (CRC, 2018)

Automated Health Monitoring System Using Advanced Technology. - Amgad Muneer; Suliman Mohamed Fati (J. Inf. Technol. Res., 2019)

Efficient and Automated Herbs Classification Approach Based on Shape and Texture Features using Deep Learning. - Amgad Muneer; Suliman Mohamed Fati (IEEE Access, 2020)

A Comparative Analysis of Machine Learning Techniques for Cyberbullying Detection on Twitter. - Amgad Muneer; Suliman Mohamed Fati (Future Internet, 2020)

Internet of Things (IoT) Security Challenges and Solutions: A Systematic Literature Review. - Rao Faizan Ali; Amgad Muneer; P. D. D. Dominic; Shakirah Mohd Taib; Ebrahim A. A. Ghaleb (ACeS, 2021)

iNitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning. - Sheraz Naseer; Rao Faizan Ali; Suliman Mohamed Fati; Amgad Muneer (IEEE Access, 2021)

Distributed Hybrid Double-Spending Attack Prevention Mechanism for Proof-of-Work and Proof-of-Stake Blockchain Consensuses. - Nur Arifin Akbar; Amgad Muneer; Narmine ElHakim; Suliman Mohamed Fati (Future Internet, 2021)

A Continuous Cuffless Blood Pressure Estimation Using Tree-Based Pipeline Optimization Tool. - Suliman Mohamed Fati; Amgad Muneer; Nur Arifin Akbar; Shakirah Mohd Taib (Symmetry, 2021)

Deep-Learning Based Prognosis Approach for Remaining Useful Life Prediction of Turbofan Engine. - Amgad Muneer; Shakirah Mohd Taib; Suliman Mohamed Fati; Hitham Alhussian 001 (Symmetry, 2021)

iAmideV-Deep: Valine Amidation Site Prediction in Proteins Using Deep Learning and Pseudo Amino Acid Compositions. - Sheraz Naseer; Rao Faizan Ali; Amgad Muneer; Suliman Mohamed Fati (Symmetry, 2021)

Deep Reinforcement Learning for Anomaly Detection: A Systematic Review. - Kinza Arshad; Rao Faizan Ali; Amgad Muneer; Izzatdin Abdul Aziz; Sheraz Naseer; Nabeel Sabir; Shakirah Mohd Taib (IEEE Access, 2022)

iAceS-Deep: Sequence-Based Identification of Acetyl Serine Sites in Proteins Using PseAAC and Deep Neural Representations. - Sheraz Naseer; Suliman Mohamed Fati; Amgad Muneer; Rao Faizan Ali (IEEE Access, 2022)

iVaccine-Deep: Prediction of COVID-19 mRNA vaccine degradation using deep learning. - Amgad Muneer; Suliman Mohamed Fati; Nur Arifin Akbar; David Agustriawan; Setyanto Tri Wahyudi (J. King Saud Univ. Comput. Inf. Sci., 2022)

Authentication Securing Methods for Mobile Identity: Issues, Solutions and Challenges. - Zuriati Ahmad Zukarnain; Amgad Muneer; Mohd Khairulanuar Ab Aziz (Symmetry, 2022)

Colorectal Cancer Recognition Using Deep Learning on Histopathology Images. - Amgad Muneer; Shakirah Mohd Taib; Mohd Hilmi Hasan; Alawi Alqushaibi (CITA, 2023)

Enhanced Multi-Objective Grey Wolf Optimizer with L関y Flight and Mutation Operators for Feature Selection. - Qasem Al-Tashi; Tareq M. Shami; Said Jadid Abdulkadir; Emelia Akashah Patah Akhir; Ayed Alwadain; Hitham Alhussain; Alawi Alqushaibi; Helmi Md Rais; Amgad Muneer; Maliazurina B. Saad; Jia Wu 009; Seyedali Mirjalili (Comput. Syst. Sci. Eng., 2023)

Medi-Block Record Secure Data Sharing in Healthcare System: Issues, Solutions and Challenges. - Zuriati Ahmad Zukarnain; Amgad Muneer; Nur Atirah Mohamad Nassir; Akram A. Almohammedi (Comput. Syst. Sci. Eng., 2023)

Cyberbullying Detection on Social Media Using Stacking Ensemble Learning and Enhanced BERT. - Amgad Muneer; Ayed Alwadain; Mohammed Gamal Ragab; Alawi Alqushaibi (Inf., 2023)

Attention-Fusion Model for Multi-omics (AMMO) Data Integration in Lung Adenocarcinoma. - Wentao Li; Amgad Muneer; Muhammad Waqas 007; Xiaobo Zhou 005; Jia Wu 009 (CMMCA@MICCAI, 2024)

PANDA: Pneumonitis Anomaly Detection Using Attention U-Net. - Amgad Muneer; Eman Showkatian; Mehmet Altan; Ajay Sheshadri; Jia Wu 009 (CMMCA@MICCAI, 2024)

PD-L1 Expression Prediction Using Scalable Multi Instance Transformer. - Eman Showkatian; Amgad Muneer; Maliazurina B. Saad; Lingzhi Hong; John V. Heymach; Jianjun Zhang; Jia Wu 009 (CMMCA@MICCAI, 2024)

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023). - Mohammed Gamal Ragab; Said Jadid Abdulkadir; Amgad Muneer; Alawi Alqushaibi; Ebrahim Hamid Hasan Sumiea; Rizwan Qureshi; Safwan Mahmood Al-Selwi; Hitham Alhussian 001 (IEEE Access, 2024)

RNN-LSTM: From applications to modeling techniques and beyond - Systematic review. - Safwan Mahmood Al-Selwi; Mohd Fadzil Hassan 001; Said Jadid Abdulkadir; Amgad Muneer; Ebrahim Hamid Hasan Sumiea; Alawi Alqushaibi; Mohammed Gamal Ragab (J. King Saud Univ. Comput. Inf. Sci., 2024)

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact. - Rizwan Qureshi; Ranjan Sapkota; Abbas Shah; Amgad Muneer; Anas Zafar; Ashmal Vayani; Maged Shoman; Abdelrahman B. M. Eldaly; Kai Zhang; Ferhat Sadak; Shaina Raza; Xinqi Fan; et al. (CoRR, 2025)

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research. - Amgad Muneer; Muhammad Waqas 007; Maliazurina B. Saad; Eman Showkatian; Rukhmini Bandyopadhyay; Hui Xu; Wentao Li; Joe Y. Chang; Zhongxing Liao; Cara Haymaker; Luisa Solis-Soto; Carol C. Wu; et al. (CoRR, 2025)