A fuzzy-logic approach to dynamic bayesian severity level classification of driver distraction using image recognition A Fasanmade, Y He, AH Al-Bayatti, JN Morden, SO Aliyu, AS Alfakeeh, ... IEEE Access 8, 95197-95207, 2020 | 20 | 2020 |
Digital data extraction for vehicles forensic investigation C Stathers, M Muhammad, A Fasanmade, A Al-Bayatti, J Morden, ... 2022 International Conference on Innovation and Intelligence for Informatics …, 2022 | 5 | 2022 |
Driving in the Rain: A Survey toward Visibility Estimation through Windshields JN Morden, F Caraffini, I Kypraios, AH Al-Bayatti, R Smith International Journal of Intelligent Systems 2023 (1), 9939174, 2023 | 2 | 2023 |
Defeating the Credit Card Scams Through Machine Learning Algorithms K Bains, A Fasanmade, J Morden, AH Al–Bayatti, MS Sharif, AS Alfakeeh 2021 International Conference on Innovation and Intelligence for Informatics …, 2021 | 1 | 2021 |
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction A Fasanmade, AH Al-Bayatti, JN Morden, F Caraffini arXiv preprint arXiv:2402.13421, 2024 | | 2024 |
Data-Driven Design for Anomaly Detection in Network Access Control Systems MA Muhammad, F Caraffini, A Fasanmade, O Ishola, K Mohammed, ... 2023 International Conference on Business Analytics for Technology and …, 2023 | | 2023 |
A Fuzzy Logic Approach to a Hybrid Lexicon-Based Sentiment Analysis Detection Tool Using Healthcare Covid-19 News Articles JN Morden, AS Khuman, A Fasanmade, M Muhammad Artificial Intelligence in Healthcare: Recent Applications and Developments …, 2022 | | 2022 |
Predicting Social Engineering Security Threats Using Fuzzy Logic J Morden, AS Khuman, A Fasanmade, M Lakoju | | 2020 |