A Memory Capacity-Aware Algorithm for Fast Clustering of Disk-Resident Big Datasets. - Ahmad O. Aseeri; Yu Zhuang; Mohammed Saeed Alkatheiri (DASC/PiCom/DataCom/CyberSciTech, 2017)

A Subspace Pre-learning Approach to Fast High-Accuracy Machine Learning of Large XOR PUFs with Component-Differential Challenges. - Ahmad O. Aseeri; Yu Zhuang; Mohammed Saeed Alkatheiri (IEEE BigData, 2018)

LaHiIO: Accelerating Persistent Big Data Machine Learning via Latency Hiding IOs. - Ahmad O. Aseeri; Yu Zhuang; Mohammed Saeed Alkatheiri; Bipana Thapaliya (IEEE BigData, 2018)

A Machine Learning-Based Security Vulnerability Study on XOR PUFs for Resource-Constraint Internet of Things. - Ahmad O. Aseeri; Yu Zhuang; Mohammed Saeed Alkatheiri (ICIOT, 2018)

A machine learning-based security vulnerability study of XOR Arbiter PUFs for resource-constraints internet of things. - Ahmad O. Aseeri (2018)

Physical Unclonable Functions. - Ahmad O. Aseeri; Mohammed Saeed Alkatheiri; Yu Zhuang (UCI Machine Learning Repository, 2018)

Examination of Double Arbiter PUFs on Security against Machine Learning Attacks. - Meznah A. Alamro; Yu Zhuang; Ahmad O. Aseeri; Mohammed Saeed Alkatheiri (IEEE BigData, 2019)

Extensive Examination of XOR Arbiter PUFs as Security Primitives for Resource-Constrained IoT Devices. - Khalid T. Mursi; Yu Zhuang; Mohammed Saeed Alkatheiri; Ahmad O. Aseeri (PST, 2019)

Does Sophisticating Double Arbiter PUF Design Ensure its Security? Performance and Security Assessments on 5-1 DAPUF. - Meznah A. Alamro; Khalid T. Mursi; Yu Zhuang; Mohammed Saeed Alkatheiri; Ahmad O. Aseeri (IEEE BigData, 2020)

A Superior Arabic Text Categorization Deep Model (SATCDM). - Mohammad Alhawarat; Ahmad O. Aseeri (IEEE Access, 2020)

Context-Aware Autonomous Security Assertion for Industrial IoT. - Usman Tariq; Ahmad O. Aseeri; Mohammed Saeed Alkatheiri; Yu Zhuang (IEEE Access, 2020)

Noise-Resilient Neural Network-Based Adversarial Attack Modeling for XOR Physical Unclonable Functions. - Ahmad O. Aseeri (J. Cyber Secur. Mobil., 2020)

Uncertainty-Aware Deep Learning-Based Cardiac Arrhythmias Classification Model of Electrocardiogram Signals. - Ahmad O. Aseeri (Comput., 2021)

A New Security Boundary of Component Differentially Challenged XOR PUFs Against Machine Learning Modeling Attacks. - Gaoxiang Li; Khalid T. Mursi; Ahmad O. Aseeri; Mohammed Saeed Alkatheiri; Yu Zhuang (CoRR, 2022)

Quantum Artificial Hummingbird Algorithm for Feature Selection of Social IoT. - Mohamed Abd Elaziz 001; Abdelghani Dahou; Mohammed Azmi Al-Betar; Shaker H. Ali El-Sappagh; Diego Oliva; Ahmad O. Aseeri (IEEE Access, 2023)

Boosted Barnacles Algorithm Optimizer: Comprehensive Analysis for Social IoT Applications. - Mohammed Abdulaziz Aide Al-qaness; Ahmed A. Ewees; Mohamed E. Abd Elaziz; Abdelghani Dahou; Mohammed Azmi Al-Betar; Ahmad O. Aseeri; Dalia Yousri; Rehab Ali Ibrahim (IEEE Access, 2023)

Vision Transformer Model for Predicting the Severity of Diabetic Retinopathy in Fundus Photography-Based Retina Images. - Waleed Nazih; Ahmad O. Aseeri; Osama Youssef Atallah; Shaker H. Ali El-Sappagh (IEEE Access, 2023)

Effective short-term forecasts of Saudi stock price trends using technical indicators and large-scale multivariate time series. - Ahmad O. Aseeri (PeerJ Comput. Sci., 2023)

Effective RNN-Based Forecasting Methodology Design for Improving Short-Term Power Load Forecasts: Application to Large-Scale Power-Grid Time Series. - Ahmad O. Aseeri (J. Comput. Sci., 2023)

A Problem-tailored Adversarial Deep Neural Network-Based Attack Model for Feed-Forward Physical Unclonable Functions. - Ahmad O. Aseeri (ACM Trans. Design Autom. Electr. Syst., 2023)

An Efficient Artificial Rabbits Optimization Based on Mutation Strategy For Skin Cancer Prediction. - Mohamed Abd Elaziz 001; Abdelghani Dahou; Alhassan Mabrouk; Shaker H. Ali El-Sappagh; Ahmad O. Aseeri (Comput. Biol. Medicine, 2023)

Optimizing fake news detection for Arabic context: A multitask learning approach with transformers and an enhanced Nutcracker Optimization Algorithm. - Abdelghani Dahou; Ahmed A. Ewees; Fatma A. Hashim; Mohammed Abdulaziz Aide Al-qaness; Dina Ahmed Orabi; Eman M. Soliman; Elsayed M. Tag El Din; Ahmad O. Aseeri; Mohamed Abd Elaziz 001 (Knowl. Based Syst., 2023)

Steering a Standard Arab Language Processing Model Towards Accurate Saudi Dialect Sentiment Analysis Using Generative AI. - Sulaiman Aftan; Yu Zhuang; Ahmad O. Aseeri; Habib Shah (IEEE Big Data, 2024)

CKAN: Convolutional Kolmogorov-Arnold Networks Model for Intrusion Detection in IoT Environment. - Mohamed Abd Elaziz 001; Ibrahim Ahmed Fares; Ahmad O. Aseeri (IEEE Access, 2024)

Toward an Accurate Liver Disease Prediction Based on Two-Level Ensemble Stacking Model. - Marghany Hassan Mohamed; Botheina Hussein Ali; Ahmed Ibrahim Taloba; Ahmad O. Aseeri; Mohamed Abd Elaziz 001; Shaker H. Ali El-Sappagh; Nora El-Rashidy (IEEE Access, 2024)

Spectrally distinct pixel extraction and kernel filtering for brain tumour diagnosis. - Adi Alhudhaif; Shtwai Alsubai; Ahmad O. Aseeri; Amita Nandal; Kemal Polat (Biomed. Signal Process. Control., 2024)

Cross vision transformer with enhanced Growth Optimizer for breast cancer detection in IoMT environment. - Mohamed Abd El Aziz 001; Abdelghani Dahou; Ahmad O. Aseeri; Ahmed A. Ewees; Mohammed Abdulaziz Aide Al-qaness; Rehab Ali Ibrahim (Comput. Biol. Chem., 2024)

Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment. - Mohamed E. Abd Elaziz; Dalia Yousri; Ahmad O. Aseeri; Laith Abualigah; Mohammed Abdulaziz Aide Al-qaness; Ahmed A. Ewees (Swarm Evol. Comput., 2024)

Enhancing Trust Factor Identification in E-Commerce: The Role of Text Segmentation and Factor Extraction with Transformer Models. - Bandar F. Alkhalil; Yu Zhuang; Khalid T. Mursi; Ahmad O. Aseeri (ICAIC, 2025)

Dynamic comprehensive learning-based dung beetle optimizer using triangular mutation for polyps image segmentation. - Mohamed Abd Elaziz 001; Diego Oliva; Alaa A. El-Bary; Ahmad O. Aseeri; Rehab Ali Ibrahim (Comput. Biol. Chem., 2025)

Genetic algorithm-based hybrid deep learning model for explainable Alzheimer's disease prediction using temporal multimodal cognitive data. - Hager Saleh; Nora El-Rashidy; Mohamed Abd Elaziz 001; Ahmad O. Aseeri; Shaker H. Ali El-Sappagh (Int. J. Data Sci. Anal., 2025)