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2024 Conference Publication Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual LearningRahman, Md Geaur, ur Rehman, Sabih, Fealy, Shanna, Vallejo, Johan Sebastian Ramirez, Fuskelay, Aayush and Moni, Mohammad Ali (2024). Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual Learning. 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC Australia, 25–29 November 2024. Singapore: Springer. doi: 10.1007/978-981-96-0351-0_30 |
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2024 Journal Article LandSin: a differential ML and google API-enabled web server for real-time land insights and beyondSabari, Alauddin, Hasan, Imran, Alyami, Salem A., Liò, Pietro, Ali, Md. Sadek, Moni, Mohammad Ali and Azad, AKM (2024). LandSin: a differential ML and google API-enabled web server for real-time land insights and beyond. Software Impacts, 22 100718, 1-6. doi: 10.1016/j.simpa.2024.100718 |
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2024 Journal Article Identification of biomarkers and molecular pathways implicated in smoking and COVID-19 associated lung cancer using bioinformatics and machine learning approachesHossain, Md Ali, Rahman, Mohammad Zahidur, Bhuiyan, Touhid and Moni, Mohammad Ali (2024). Identification of biomarkers and molecular pathways implicated in smoking and COVID-19 associated lung cancer using bioinformatics and machine learning approaches. International Journal of Environmental Research and Public Health, 21 (11) 1392, 1392. doi: 10.3390/ijerph21111392 |
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2024 Conference Publication EAH-Net: a novel ensemble attention-based hybrid architecture for breast cancer diagnosis utilizing ultrasound imagesHasan, Md. Zahid, Hossain, Shahed, Jim, Risul Islam, Bulbul, Abdullah Al-Mamun, Rahman, Md. Tanvir and Moni, Mohammad Ali (2024). EAH-Net: a novel ensemble attention-based hybrid architecture for breast cancer diagnosis utilizing ultrasound images. 1st International Workshop on Multimedia Computing for Health and Medicine (MCHM), Melbourne, VIC, Australia, 28 October-1 November 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3688868.3689198 |
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2024 Journal Article A robust deep learning approach for identification of RNA 5-methyluridine sitesShaon, Md. Shazzad Hossain, Karim, Tasmin, Ali, Md. Mamun, Ahmed, Kawsar, Bui, Francis M., Chen, Li and Moni, Mohammad Ali (2024). A robust deep learning approach for identification of RNA 5-methyluridine sites. Scientific Reports, 14 (1) 25688, 1-13. doi: 10.1038/s41598-024-76148-9 |
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2024 Conference Publication Sentiment Analysis in Twitter Data Using Machine Learning-Based ApproachAl Arafat, Kazi Abdullah, Roni, Mahmudur Rahman, Siddique, Sumaya, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). Sentiment Analysis in Twitter Data Using Machine Learning-Based Approach. International Conference on Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_12 |
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2024 Conference Publication SeizureFed: federated learning for pediatric seizure detection through EEG using E-ResNetKaikaus, Maleeha, Ahmed, Sabbir, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). SeizureFed: federated learning for pediatric seizure detection through EEG using E-ResNet. ICCA 2024: 3rd International Conference on Computing Advancements, Dhaka, Bangladesh, 17-18 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3723178.3723289 |
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2024 Conference Publication Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata AnalysisAppel Mahmud Pranto, Md., Asad, Nafiz Al, Yousuf, Mohammad Abu, Uddin, Mohammed Nasir and Moni, Mohammad Ali (2024). Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata Analysis. International Conference on Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_45 |
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2024 Conference Publication Bias in deep learning skin cancer detection: parallel residual convolution network classification and racial bias quantification : skin cancer racial biasShahid, Sumaiya Binte, Yousuf, Mohammad Abu, Hosen, Md. Biplob, Ahmed, Sabbir and Ali Moni, Mohammad (2024). Bias in deep learning skin cancer detection: parallel residual convolution network classification and racial bias quantification : skin cancer racial bias. ICCA 2024: 3rd International Conference on Computing Advancements, Dhaka, Bangladesh, 17-18 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3723178.3723310 |
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2024 Conference Publication Sleep apnea detection through HRV and SPO2 analysis of single-lead ECG signals using machine learning algorithmsIslam, Md Ashraful, Chaki, Sudipto, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). Sleep apnea detection through HRV and SPO2 analysis of single-lead ECG signals using machine learning algorithms. ICCA 2024: 3rd International Conference on Computing Advancements, Dhaka, Bangladesh, 17-18 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3723178.3723251 |
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2024 Conference Publication NewBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen KernelAl Mamun, Abdullah, Najrul Howlader, S. M., Khanom, Shoma, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). NewBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel. International Conference on Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_14 |
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2024 Journal Article PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AIShamrat, F. M. Javed Mehedi, Idna Idris, Mohd Yamani, Zhou, Xujuan, Khalid, Majdi, Sharmin, Sharmin, Sharmin, Zeseya, Ahmed, Kawsar and Moni, Mohammad Ali (2024). PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI. Heliyon, 10 (19) e38596, 1-22. doi: 10.1016/j.heliyon.2024.e38596 |
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2024 Journal Article Multi-view soft attention-based model for the classification of lung cancer-associated disabilitiesEsha, Jannatul Ferdous, Islam, Tahmidul, Pranto, Md. Appel Mahmud, Borno, Abrar Siam, Faruqui, Nuruzzaman, Yousuf, Mohammad Abu, Azad, AKM, Al-Moisheer, Asmaa Soliman, Alotaibi, Naif, Alyami, Salem A. and Moni, Mohammad Ali (2024). Multi-view soft attention-based model for the classification of lung cancer-associated disabilities. Diagnostics, 14 (20) 2282, 2282. doi: 10.3390/diagnostics14202282 |
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2024 Journal Article An improved K-means clustering algorithm towards an efficient data-driven modelingZubair, Md., Iqbal, Md. Asif, Shil, Avijeet, Chowdhury, M. J.M., Moni, Mohammad Ali and Sarker, Iqbal H. (2024). An improved K-means clustering algorithm towards an efficient data-driven modeling. Annals of Data Science, 11 (5), 1525-1544. doi: 10.1007/s40745-022-00428-2 |
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2024 Journal Article A robust deep-learning model to detect major depressive disorder utilising EEG signalsAnik, Israq Ahmed, Kamal, A H M, Kabir, Muhammad Ashad, Uddin, Shahadat and Moni, Mohammad Ali (2024). A robust deep-learning model to detect major depressive disorder utilising EEG signals. IEEE Transactions on Artificial Intelligence, 5 (10), 4938-4947. doi: 10.1109/tai.2024.3394792 |
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2024 Journal Article Advances in artificial intelligence and blockchain technologies for early detection of human diseasesShammi, Shumaiya Akter, Ghosh, Pronab, Sutradhar, Ananda, Shamrat, F. M. Javed Mehedi, Moni, Mohammad Ali and Oliveira, Thiago Eustaquio Alves de (2024). Advances in artificial intelligence and blockchain technologies for early detection of human diseases. IEEE Transactions on Computational Social Systems, 12 (1), 210-237. doi: 10.1109/tcss.2024.3449748 |
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2024 Journal Article Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniquesSutradhar, Ananda, Akter, Sharmin, Shamrat, F M Javed Mehedi, Ghosh, Pronab, Zhou, Xujuan, Idris, Mohd Yamani Idna Bin, Ahmed, Kawsar and Moni, Mohammad Ali (2024). Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques. Heliyon, 10 (17) e36556, e36556. doi: 10.1016/j.heliyon.2024.e36556 |
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2024 Journal Article Automated detection of harmful insects in agriculture: a smart framework leveraging IoT, machine learning, and blockchainRahman, Wahidur, Hossain, Muhammad Minoar, Hasan, Md. Mahedi, Iqbal, Md. Sadiq, Rahman, Mohammad Motiur, Fida Hasan, Khondokar and Moni, Mohammad Ali (2024). Automated detection of harmful insects in agriculture: a smart framework leveraging IoT, machine learning, and blockchain. IEEE Transactions on Artificial Intelligence, 5 (9), 4787-4798. doi: 10.1109/tai.2024.3394799 |
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2024 Journal Article MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification toolSultan, Md. Fahim, Shaon, Md. Shazzad Hossain, Karim, Tasmin, Ali, Md. Mamun, Hasan, Md. Zahid, Ahmed, Kawsar, Bui, Francis M., Chen, Li, Dhasarathan, Vigneswaran and Moni, Mohammad Ali (2024). MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification tool. Heliyon, 10 (18) e37820, e37820. doi: 10.1016/j.heliyon.2024.e37820 |
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2024 Conference Publication Identifying predictors of physical activity and walking outcomes after stroke through a machine learning approachNayak, Neelam, Mahendran, Niruthikha, Moni, Mohammad, Kuys, Suzanne and Brauer, Sandra (2024). Identifying predictors of physical activity and walking outcomes after stroke through a machine learning approach. Asia Pacific Stroke Conference 2024 Combined Australian and New Zealand Stroke Organisation Conference, Adelaide, SA, Australia, 25–28 September 2024. Basel, Switzerland: S. Karger. |
