Automated multidimensional analysis of global events with entity detection, sentiment analysis and anomaly detection FK Sufi, M Alsulami IEEE Access 9, 152449-152460, 2021 | 46 | 2021 |
Knowledge discovery of global landslides using automated machine learning algorithms FK Sufi, M Alsulami IEEE Access 9, 131400-131419, 2021 | 43 | 2021 |
Automating Global Threat-Maps Generation via Advancements of News Sensors and AI F Sufi, M Alsulami, A Gutub Arabian Journal for Science and Engineering, 2022 | 39 | 2022 |
Symmetry in privacy-based healthcare: a review of skin cancer detection and classification using federated learning MM Yaqoob, M Alsulami, MA Khan, D Alsadie, AKJ Saudagar, ... Symmetry 15 (7), 1369, 2023 | 21 | 2023 |
A Novel Method of Generating Geospatial Intelligence from Social Media Posts of Political Leaders F Sufi, M Alsulami MDPI - Information, 2022 | 19 | 2022 |
A Comparison between Organizational Stakeholders’ and External Consultants’ Perceptions on CSFs Affecting ERP Life Cycle Phases Musleh Alsulami, Helana Scheepers, Md.Mahbubur Rahim Hawaii International Conference on System Sciences HICSS-49: January 5-8 …, 2016 | 19* | 2016 |
Federated machine learning for skin lesion diagnosis: an asynchronous and weighted approach MM Yaqoob, M Alsulami, MA Khan, D Alsadie, AKJ Saudagar, ... Diagnostics 13 (11), 1964, 2023 | 18 | 2023 |
Development of a model to understand how consultants manage conflicts during ERP post-implementation change process: A dialectic perspective M Alsulami, M Rahim, H Scheepers 24th Australasian Conference on Information Systems, 1-11, 2013 | 17 | 2013 |
AI-based Automated Extraction of Location-Oriented COVID-19 Sentiments F Sufi, M Alsulami CMC-Computers, Materials & Continua, 2022 | 16 | 2022 |
Asynchronous federated learning for improved cardiovascular disease prediction using artificial intelligence MA Khan, M Alsulami, MM Yaqoob, D Alsadie, AKJ Saudagar, ... Diagnostics 13 (14), 2340, 2023 | 15 | 2023 |
A New Approach for Secure Cloud-Based Electronic Health Record and its Experimental Testbed J Jusak, SS Mahmoud, R Laurens, M Alsulami, Q Fang IEEE Access 10, 1082-1095, 2022 | 12 | 2022 |
A Cardiac Deep Learning Model (CDLM) to Predict and Identify the Risk Factor of Congenital Heart Disease P Pachiyannan, M Alsulami, D Alsadie, AKJ Saudagar, M AlKhathami, ... Diagnostics 13 (13), 2195, 2023 | 11 | 2023 |
Automated analysis of Australian tropical cyclones with regression, clustering and convolutional neural network F Sufi, E Alam, M Alsulami Sustainability 14 (16), 9830, 2022 | 11 | 2022 |
Consolidating understanding of ERP conflicts: a dialectic perspective M Alsulami, MD Mahbubur, H Scheepers | 11 | 2014 |
A novel machine learning-based prediction method for early detection and diagnosis of congenital heart disease using ECG signal processing P Pachiyannan, M Alsulami, D Alsadie, AKJ Saudagar, M AlKhathami, ... Technologies 12 (1), 4, 2024 | 10 | 2024 |
A New Decision Support System for Analyzing Factors of Tornado Related Deaths in Bangladesh F Sufi, E Alam, M Alsulami Sustainability 14 (10), 2022 | 6 | 2022 |
Using DEMATEL for Contextual Learner Modeling in Personalized and Ubiquitous Learning PC Saurabh Pal, Pijush Kanti Dutta Pramanik, Musleh Alsulami, Anand Nayyar ... Computers, Materials & Continua, 2021 | 6 | 2021 |
Identifying drivers of COVID-19 vaccine sentiments for effective vaccination policy F Sufi, M Alsulami Heliyon 9 (9), 2023 | 5 | 2023 |
A new interactive system for analyzing historical records of tornedoes in Bangladesh F Sufi, E Alam, M Alsulami Sustainability 14 (10), 6303, 2022 | 5 | 2022 |
Understanding ERP implementation challenges: a consultants' perspective M Alsulami Monash University, 2009 | 5 | 2009 |