Saudi Technology Incubation: an Analysis and Indication of Gaps in Functioning. - Muhammad Binsawad; Igor T. Hawryszkiewycz; Kyeong Kang (AMCIS, 2016)

The Influence of the Knowledge-Sharing Process on Technology Business Incubator Performance in Saudi Arabia. - Muhammad Binsawad; Igor T. Hawryszkiewycz; Kyeong Kang (ISD, 2016)

Classifying knowledge-sharing barriers by organisational structure in order to find ways to remove these barriers. - Van Dong Phung; Igor T. Hawryszkiewycz; Muhammad Hatim Binsawad (KSE, 2016)

Knowledge-Sharing in Technology Business Incubator. - Muhammad Binsawad; Osama Sohaib; Igor T. Hawryszkiewycz (ISD, 2017)

Exploring How Environmental and Personal Factors Influence Knowledge Sharing Behaviour Leads to Innovative Work Behaviour in Vietnamese Higher Education Institutions. - Van Dong Phung; Igor T. Hawryszkiewycz; Muhammad Binsawad (ISD, 2017)

Individual Creativity Towards Technology Business Incubator Performance. - Muhammad Binsawad; Osama Sohaib; Igor T. Hawryszkiewycz; Asma Aleidi (AMCIS, 2018)

Factors Affecting the Saudi Arabian Higher Education Creative Environment. - Mamdouh Qahl; Igor T. Hawryszkiewycz; Muhammad Binsawad; Junaid Rehman (ACIS, 2019)

Factors contributing to visible performance in Saudi technology incubators - Muhammad Binsawad (2019)

Realizing Macro Based Technique for Behavioral Attestation on Remote Platform. - Alhuseen Omar Alsayed; Muhammad Binsawad; Jawad Ali 002; Ahmad Shahrafidz Khalid; Waqas Ahmed 006 (IntelliSys (1), 2020)

An Efficient Load Balancing Scheme of Energy Gauge Nodes to Maximize the Lifespan of Constraint Oriented Networks. - Muhammad Adil 002; Rahim Khan; Mohammed Amin Almaiah; Muhammad Binsawad; Jehad Ali; Adeeb Alsaaidah; Qui Thanh Hoai Ta (IEEE Access, 2020)

An Empirical Comparison on Malicious Activity Detection Using Different Neural Network-Based Models. - Marwan Ali Albahar; Ruaa A. Al-falluji; Muhammad Binsawad (IEEE Access, 2020)

An Efficient Person Re-Identification Model Based on New Regularization Technique. - Marwan Ali Albahar; Abdulaziz Ali Albahr; Muhammad Hatim Binsawad (IEEE Access, 2020)

Corporate Social Responsibility in Higher Education: A PLS-SEM Neural Network Approach. - Muhammad Hatim Binsawad (IEEE Access, 2020)

An Ensemble-Learning Based Application to Predict the Earlier Stages of Alzheimer's Disease (AD). - Asif Hassan Syed; Md. Tabrej Khan; Atif Hassan; Nashwan A. Alromema; Muhammad Binsawad; Alhuseen Omar Alsayed (IEEE Access, 2020)

Toward green computing in wireless sensor networks: prediction-oriented distributed clustering for non-uniform node distribution. - Ajay Sikandar; Rajeev Agrawal; Manoj Kumar Tyagi; A. L. Narasimha Rao; Mukesh Prasad; Muhammad Binsawad (EURASIP J. Wirel. Commun. Netw., 2020)

Social media efficiency towards restaurant business: a comparison between social media profiles (case study in Saudi Arabia). - Muhammad Binsawad (Multim. Tools Appl., 2020)

Deep Autoencoders and Feedforward Networks Based on a New Regularization for Anomaly Detection. - Marwan Ali Albahar; Muhammad Binsawad (Secur. Commun. Networks, 2020)

QuPiD Attack: Machine Learning-Based Privacy Quantification Mechanism for PIR Protocols in Health-Related Web Search. - Rafiullah Khan; Arshad Ahmad 002; Alhuseen Omar Alsayed; Muhammad Binsawad; Muhammad Arshad Islam; Mohib Ullah (Sci. Program., 2020)

Computational Learning Model for Prediction of Heart Disease Using Machine Learning Based on a New Regularizer. - Abdulaziz Albahr; Marwan Ali Albahar; Mohammed I. Thanoon; Muhammad Binsawad (Comput. Intell. Neurosci., 2021)

A Technology Survey on IoT Applications Serving Umrah and Hajj. - Muhammad Binsawad; Marwan Ali Albahar (Appl. Comput. Intell. Soft Comput., 2022)

Moving to Digital-Healthy Society: Empathy, Sympathy, and Wellbeing in Social Media. - Mousa Albashrawi; Jongtae Yu; Muhammad Binsawad; Yousef Asiri (Pac. Asia J. Assoc. Inf. Syst., 2022)

People's expectations and experiences of big data collection in the Saudi context. - Muhammad Binsawad; Ghazanfar Ali Abbasi; Osama Sohaib (PeerJ Comput. Sci., 2022)

Prediction based cost estimation technique in agile development. - Shariq Aziz Butt; Tuncay Ercan; Muhammad Binsawad; Paola Patricia Ariza-Colpas; Jorge Díaz-Martínez; Gabriel Piñeres-Espitia; Emiro de la Hoz Franco; Marlon Alberto Piñeres-Melo; Roberto Cesar Morales-Ortega; Juan-David De-la-Hoz-Hernández (Adv. Eng. Softw., 2023)

FEPP: Advancing Software Risk Prediction in Requirements Engineering Through Innovative Rule Extraction and Multi-Class Integration. - Muhammad Binsawad; Bilal Khan 003 (IEEE Access, 2024)

Efficient context-aware computing: a systematic model for dynamic working memory updates in context-aware computing. - Mumtaz Ali; Muhammad Arshad 001; Ijaz Uddin; Muhammad Binsawad; Abdullah Bin Sawad; Osama Sohaib (PeerJ Comput. Sci., 2024)

Advanced Detection of Abnormal ECG Patterns Using an Optimized LADTree Model with Enhanced Predictive Feature: Potential Application in CKD. - Muhammad Binsawad; Bilal Khan 003 (Algorithms, 2024)

Secure semantic search using deep learning in a blockchain-assisted multi-user setting. - Shahzad Khan; Haider Abbas; Muhammad Binsawad (J. Cloud Comput., 2024)

Leveraging a hybrid convolutional gated recursive diabetes prediction and severity grading model through a mobile app. - Alhuseen Omar Alsayed; Nor Azman Ismail; Layla Hasan; Muhammad Binsawad; Farhat Embarak (PeerJ Comput. Sci., 2025)