To use or not to use: Modelling end user grumbling as user resistance in pre-implementation stage of enterprise resource planning system. - Imran Mahmud; Thurasamy Ramayah; Sherah Kurnia (Inf. Syst., 2017)

Extending the theory of planned behavior (TPB) to explain online game playing among Malaysian undergraduate students. - Ahmed Ibrahim Alzahrani 001; Imran Mahmud; Thurasamy Ramayah; Osama Alfarraj; Nasser Alalwan (Telematics Informatics, 2017)

Modeling the Role of C2C Information Quality on Purchase Decision in Facebook. - Rafita Haque; Imran Mahmud; Md. Hasan Sharif; S. Rayhan Kabir; Arpita Chowdhury; Farzana Akter; Amatul Bushra Akhi (I3E, 2018)

Modelling digital library success using the DeLone and McLean information system success model. - Ahmed Ibrahim Alzahrani 001; Imran Mahmud; Thurasamy Ramayah; Osama Alfarraj; Nasser Alalwan (J. Libr. Inf. Sci., 2019)

Developing process and product innovation through internal and external knowledge sources in manufacturing Malaysian firms: the role of absorptive capacity. - T. Ramayah 001; Pedro Soto-Acosta; Khoo Kah Kheng; Imran Mahmud (Bus. Process. Manag. J., 2020)

Supply chain information integration and its impact on the operational performance of manufacturing firms in Malaysia. - Ali Vafaei-Zadeh; Thurasamy Ramayah; Haniruzila Hanifah; Sherah Kurnia; Imran Mahmud (Inf. Manag., 2020)

End users' resistance behaviour paradigm in pre-deployment stage of ERP systems: evidence from Bangladeshi manufacturing industry. - Ahmed Alzahrani 001; Imran Mahmud; Ramayah Thurasamy; Osama Alfarraj; Ayed Alwadain (Bus. Process. Manag. J., 2021)

Model and Popularity Based Recommendation System- A Collaborative Filtering Approach. - Farha Islam; Md. Shohel Arman; Nusrat Jahan; Musabbir Hasan Sammak; Nusrat Tasnim; Imran Mahmud (ICCCNT, 2022)

Classifying Cardiovascular Disease Using Gradient Boosting Method Risk Factor Analysis using Shapely Additive exPlanations. - Musabbir Hasan Sammak; Md. Shohel Arman; Hasnur Jahan; Imran Mahmud; Md. Rittique Alam; Khalid Been Md. Badruzzaman Biplop (ICCCNT, 2022)

Early Prediction and Analysis of DTI and MRI-Based Alzheimer's Disease Through Machine Learning Techniques. - Amira Mahjabeen; Md. Rajib Mia; F. N. U. Shariful; Nuruzzaman Faruqui; Imran Mahmud (TCCE, 2022)

Mathematical Modelling of Teachers' Intention to Participate in Online Training During Covid-19 Lockdown: Evidence from Emerging Economy. - Ejaj-Ur Rahaman; Imran Mahmud; Md. Ar Rafi Himel; Afsana Begum; Nusrat Jahan (Int. J. Emerg. Technol. Learn., 2022)

Trackez: An IoT-Based 3D-Object Tracking From 2D Pixel Matrix Using Mez and FSL Algorithm. - Nuruzzaman Faruqui; Md. Alamgir Kabir; Mohammad Abu Yousuf; Md Whaiduzzaman; Alistair Barros; Imran Mahmud (IEEE Access, 2023)

A Novel Front Door Security (FDS) Algorithm Using GoogleNet-BiLSTM Hybridization. - Luiz Paulo Oliveira Paula; Nuruzzaman Faruqui; Imran Mahmud; Md Whaiduzzaman; Eric Charles Hawkinson; Sandeep Trivedi (IEEE Access, 2023)

Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics. - Md. Ashikur Rahman; Lway Faisal Abdulrazak; Md Mamun Ali; Imran Mahmud; Kawsar Ahmed; Francis M. Bui (Algorithms, 2023)

Employability Skills in Engineering: Towards a Broader Redefinition of Professional Identities. - Vito Veneziano; Imran Mahmud (EDUCON, 2024)

DRDnet22: Advanced convolutional techniques for early diabetic retinopathy detection in retinal images. - Md. Sakib Ali Mazumder; F. M. Javed Mehedi Shamrat; Imran Mahmud; Sharmin Sharmin; Tanzim Hossain; Ekramul Kabir Biplab (ICCCNT, 2024)

Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis. - Tanzim Hossain; F. M. Javed Mehedi Shamrat; Xujuan Zhou; Imran Mahmud; Md. Sakib Ali Mazumder; Sharmin Sharmin; Raj Gururajan (PeerJ Comput. Sci., 2024)

COVID-19 and Suicide Tendency: Prediction and Risk Factor Analysis Using Machine Learning and Explainable AI. - Khalid Been Md. Badruzzaman Biplob; Musabbir Hasan Sammak; Abu Kowshir Bitto; Imran Mahmud (EAI Endorsed Trans. Pervasive Health Technol., 2024)

StackTHP: A stacking ensemble model for accurate prediction of tumor-homing peptides in cancer therapy. - Fazla Rabby Raihan; Lway Faisal Abdulrazak; Md. Ashikur Rahman; Md Mamun Ali; Sobhy M. Ibrahim; Kawsar Ahmed; Francis M. Bui; Imran Mahmud (Comput. Biol. Medicine, 2025)

Value-based adoption model: a systematic literature review from 2007 to 2021. - Chi Tin Wong; Cheng Ling Tan; Imran Mahmud (Int. J. Bus. Inf. Syst., 2025)

Investigating continuous intention to use metaverse in higher education institutions: a dual-staged structural equation modeling-artificial neural network approach. - Reham Adel Ali; Mohamed Soliman Mohamed Soliman; Muhammad Roflee Weahama; Muhammadafeefee Assalihee; Imran Mahmud (Smart Learn. Environ., 2025)