Building a Decision Tree Model for Academic Advising Affairs Based on the Algorithm C 4-5. - Mohammed Al-Sarem (CoRR, 2015)

Fuzzy unbalanced linguistic variables to enhance the course assessment process. - Mohammed Al-Sarem; Bassam Naji Al-Tamimi (SITA, 2016)

Predictive and statistical analyses for academic advisory support. - Mohammed Al-Sarem (CoRR, 2016)

Combination of Stylo-based Features and Frequency-based Features for Identifying the Author of Short Arabic Text. - Mohammed Al-Sarem; Walid Cherif; Ahmed Abdel Wahab; Abdel-Hamid M. Emara; Mohamed Kissi (SITA, 2018)

Deep Learning-Based Rumor Detection on Microblogging Platforms: A Systematic Review. - Mohammed Al-Sarem; Wadii Boulila; Muna Al-Harby; Junaid Qadir 001; Abdullah Alsaeedi (IEEE Access, 2019)

Diagnosis of COVID-19 Disease Using Convolutional Neural Network Models Based Transfer Learning. - Hicham Moujahid; Bouchaib Cherradi; Mohammed Al-Sarem; Lhoussain Bahatti (IRICT, 2020)

A Machine-Learning based Approach to Support Academic Decision-Making at Higher Educational Institutions. - Muhib Al-kmali; Hamzah Mugahed; Wadii Boulila; Mohammed Al-Sarem; Anmar Abuhamdah (ISNCC, 2020)

Ensemble Methods for Instance-Based Arabic Language Authorship Attribution. - Mohammed Al-Sarem; Faisal Saeed; Abdullah Alsaeedi; Wadii Boulila; Tawfik Al Hadhrami (IEEE Access, 2020)

Servicing Your Requirements: An FCA and RCA-Driven Approach for Semantic Web Services Composition. - Maha Driss; Amani Aljehani; Wadii Boulila; Hamza Ghandorh; Mohammed Al-Sarem (IEEE Access, 2020)

Predictive Data Mining Model for Electronic Customer Relationship Management Intelligence. - Bashar Shahir Ahmed; Mohamed Larabi Ben Maâti; Mohammed Al-Sarem (Int. J. Bus. Intell. Res., 2020)

Performance of authorship attribution classifiers with short texts: application of religious Arabic fatwas. - Mohammed Al-Sarem; Abdel-Hamid M. Emara; Ahmed Abdel Wahab (Int. J. Data Min. Model. Manag., 2020)

Feature selection using an improved Chi-square for Arabic text classification. - Said Bahassine; Abdellah Madani; Mohammed Al-Sarem; Mohamed Kissi (J. King Saud Univ. Comput. Inf. Sci., 2020)

A Deep Learning Artificial Neural Network Algorithm for Instance-based Arabic Language Authorship Attribution. - Mohammed Al-Sarem; Abdullah Alsaeedi; Faisal Saeed (Adv. Data Sci. Adapt. Anal., 2021)

RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification. - Wadii Boulila; Mokhtar Sellami 002; Maha Driss; Mohammed Al-Sarem; Mahmood Safaei; Fuad A. Ghaleb (Comput. Electron. Agric., 2021)

Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives. - Wadii Boulila; Maha Driss; Mohammed Al-Sarem; Faisal Saeed; Moez Krichen (CoRR, 2021)

Ensembling of Efficient Deep Convolutional Networks and Machine Learning Algorithms for Resource Effective Detection of Tuberculosis Using Thoracic (Chest) Radiography. - Rajat Mehrrotra; M. A. Ansari; Rajeev Agrawal; Pragati Tripathi; Md Belal Bin Heyat; Mohammed Al-Sarem; Abdullah Yahya Mohammed Muaad; Wamda Abdelrahman Elhag Nagmeldin; Abdelzahir Abdelmaboud; Faisal Saeed (IEEE Access, 2022)

Phishing Websites Detection by Using Optimized Stacking Ensemble Model. - Zeyad Ghaleb Al-Mekhlafi; Badiea Abdulkarem Mohammed; Mohammed Al-Sarem; Faisal Saeed; Tawfik Al Hadhrami; Mohammad T. Alshammari; Abdulrahman Alreshidi; Talal Sarheed Alshammari (Comput. Syst. Sci. Eng., 2022)

Combining CNN and Grad-Cam for COVID-19 Disease Prediction and Visual Explanation. - Hicham Moujahid; Bouchaib Cherradi; Mohammed Al-Sarem; Lhoussain Bahatti; Abou Bakr Assedik Mohammed Yahya Eljialy; Abdullah Alsaeedi; Faisal Saeed (Intell. Autom. Soft Comput., 2022)

Machine learning classifiers with pre-processing techniques for rumour detection on social media: an empirical study. - Mohammed Al-Sarem; Muna Al-Harby; Faisal Saeed; Essa Abdullah Hezzam (Int. J. Cloud Comput., 2022)

An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection. - Mohammed Al-Sarem; Faisal Saeed; Eman H. Alkhammash; Norah Saleh Alghamdi (Sensors, 2022)

Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM). - Mona Algarni; Faisal Saeed; Tawfik Al Hadhrami; Fahad Ghabban; Mohammed Al-Sarem (Sensors, 2022)

Augmented Reality, Serious Games and Picture Exchange Communication System for People with ASD: Systematic Literature Review and Future Directions. - Haneen Almurashi; Rahma Bouaziz 001; Wallaa Alharthi; Mohammed Al-Sarem; Mohammed Hadwan; Slim Kammoun (Sensors, 2022)

Ensemble Synthesized Minority Oversampling-Based Generative Adversarial Networks and Random Forest Algorithm for Credit Card Fraud Detection. - Fuad A. Ghaleb; Faisal Saeed; Mohammed Al-Sarem; Sultan Noman Qasem; Tawfik Al Hadhrami (IEEE Access, 2023)

A Novel Explainable CNN Model for Screening COVID-19 on X-ray Images. - Hicham Moujahid; Bouchaib Cherradi; Oussama El Gannour; Wamda Abdelrahman Elhag Nagmeldin; Abdelzahir Abdelmaboud; Mohammed Al-Sarem; Lhoussain Bahatti; Faisal Saeed; Mohammed Hadwan (Comput. Syst. Sci. Eng., 2023)

Smart reference evapotranspiration using Internet of Things and hybrid ensemble machine learning approach. - Rab Nawaz Bashir; Mahlaqa Saeed; Mohammed Al-Sarem; Rashiq Marie; Muhammad Faheem 003; Abdelrahman Elsharif Karrar; Bahaeldein Elhussein (Internet Things, 2023)

A Novel Approach to Malware Detection using Machine Learning and Image Processing. - Saadaldeen Rashid Ahmed; Salah J. Mohamed; Mohammed S. Aljanabi; Sameer Algburi; Duaa A. Majeed; Neesrin Ali Kurdi; Mohammed Al-Sarem; Jamal Fadhil Tawfeq (AICCONF, 2024)

Enhancing Arabic Speaker Identification through Lip Movement Analysis and Deep Representation Learning. - Mohammed Imad Ashour; Abbas Saadi Abbas; Saadaldeen Rashid Ahmed; Noor Haydar; Ali Jassim Ghaffoori; Abadal-Salam T. Hussain; Neesrin Ali Kurdi; Mohammed Al-Sarem; Jamal Fadhil Tawfeq (AICCONF, 2024)

Machine Learning Approaches for Botnet Detection in Network Traffic. - Yousif Tareq Salih; Ali Fenjan; Saadaldeen Rashid Ahmed; Hussein Ali; Emad N. Abdulwahab; Sameer Algburi; Neesrin Ali Kurdi; Mohammed Al-Sarem; Jamal Fadhil Tawfeq (AICCONF, 2024)

Integrating Machine Learning and Deep Learning Techniques for Enhanced Historical Script Classification. - Merouane Boudraa; Akram Bennour; Mohammed Al-Sarem; Piyush Kumar Shukla (ISPR (3), 2024)

X-Ray Insights: A Siamese with CNN and Spatial Attention Network for Innovative Person Identification. - Farah Hazem; Akram Bennour; Tahar Mekhaznia 001; Mohammed Al-Sarem; Piyush Kumar Shukla; Osamah Ibrahim Khalaf (ISPR (3), 2024)

Innovative Cybersecurity for Enhanced Data Protection: An Extended Bit-Plane Extraction and Chaotic Permutation-Diffusion Approach in Information Security. - Mujeeb Ur Rehman; Arslan Shafique; Kashif Hesham Khan; Saad Nasser Altamimi; Sultan Noman Qasem; Mohammed Al-Sarem (IEEE Access, 2024)

Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention mechanism. - Abdulrahman Alqarafi; Arfat Ahmad Khan; Rakesh Kumar Mahendran; Mohammed Al-Sarem; Faisal Albalwy (Biomed. Signal Process. Control., 2024)

Contribution to historical manuscript dating: A hybrid approach employing hand-crafted features with vision transformers. - Merouane Boudraa; Akram Bennour; Mohammed Al-Sarem; Fahad Ghabban; Omair Ameerbakhsh (Digit. Signal Process., 2024)

SENSES-ASD: a social-emotional nurturing and skill enhancement system for autism spectrum disorder. - Haya Abu-Nowar; Adeeb Sait; Tawfik Al Hadhrami; Mohammed Al-Sarem; Sultan Noman Qasem (PeerJ Comput. Sci., 2024)

A deep learning framework for historical manuscripts writer identification using data-driven features. - Akram Bennour; Merouane Boudraa; Imran Siddiqi; Mohammed Al-Sarem; Mohammed Al-Shabi; Fahad Ghabban (Multim. Tools Appl., 2024)

Correction to: A deep learning framework for historical manuscripts writer identification using data-driven features. - Akram Bennour; Merouane Boudraa; Imran Siddiqi; Mohammed Al-Sarem; Mohammed Al-Shabi; Fahad Ghabban (Multim. Tools Appl., 2024)