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2024 Journal Article Global, regional, and national burden of HIV/AIDS, 1990–2021, and forecasts to 2050, for 204 countries and territories: the Global Burden of Disease Study 2021Carter, Austin, Zhang, Meixin, Tram, Khai Hoan, Walters, Magdalene K, Jahagirdar, Deepa, Brewer, Edmond D, Novotney, Amanda, Lasher, Dylan, Mpolya, Emmanuel A, Vongpradith, Avina, Ma, Jianing, Verma, Megan, Frank, Tahvi D, He, Jiawei, Byrne, Sam, Lin, Christine, Dominguez, Regina-Mae Villanueva, Pease, Spencer A, Comfort, Haley, May, Erin A, Abate, Yohannes Habtegiorgis, Abbastabar, Hedayat, Abdelkader, Atef, Abdi, Parsa, Abdoun, Meriem, Abdul Aziz, Jeza Muhamad, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan ... Kyu, Hmwe (2024). Global, regional, and national burden of HIV/AIDS, 1990–2021, and forecasts to 2050, for 204 countries and territories: the Global Burden of Disease Study 2021. The Lancet HIV, 11 (12), e807-e822. doi: 10.1016/s2352-3018(24)00212-1 |
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2024 Journal Article A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma SubtypesNobel, S. M. Nuruzzaman, Swapno, S. M. Masfequier Rahman, Islam, Md Babul, Azad, AKM, Alyami, Salem A., Alamin, Md, Liò, Pietro and Moni, Mohammad Ali (2024). A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes. Advanced Intelligent Systems. doi: 10.1002/aisy.202400566 |
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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 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 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 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 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 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 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, e38596. 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 Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021Bryazka, Dana, Reitsma, Marissa B., Abate, Yohannes Habtegiorgis, Abd Al Magied, Abdallah H. A., Abdelkader, Atef, Abdollahi, Arash, Abdoun, Meriem, Abdulkader, Rizwan Suliankatchi, Zuniga, Roberto Ariel Abeldano, Abhilash, E. S., Abiodun, Olugbenga Olusola, Abiodun, Olumide, Aboagye, Richard Gyan, Abreu, Lucas Guimaraes, Abtahi, Dariush, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Rmeileh, Niveen M. E., Aburuz, Salahdein, Abu-Zaid, Ahmed, Adane, Mesafint Molla, Adebiyi, Akindele Olupelumi, Adegboye, Oyelola A., Adekanmbi, Victor, Adewuyi, Habeeb Omoponle, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afaghi, Siamak, Afolabi, Aanuoluwapo Adeyimika ... Gakidou, Emmanuela (2024). Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Public Health, 9 (10), E729-E744. |
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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. |
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2024 Journal Article Trends and levels of the global, regional, and national burden of appendicitis between 1990 and 2021: findings from the Global Burden of Disease Study 2021Han, Hannah, Letourneau, Ian D, Abate, Yohannes Habtegiorgis, Abdelmasseh, Michael, Abu-Gharbieh, Eman, Adane, Tigist Demssew, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmadi, Ali, Ahmed, Ayman, Alhalaiqa, Fadwa Naji, Al-Sabah, Salman Khalifah, Al-Worafi, Yaser Mohammed, Amu, Hubert, Andrei, Catalina Liliana, Anoushiravani, Amir, Arabloo, Jalal, Aravkin, Aleksandr Y, Ashraf, Tahira, Azadnajafabad, Sina, Baghcheghi, Nayereh, Bagherieh, Sara, Bantie, Berihun Bantie, Bardhan, Mainak, Basile, Guido, Bayleyegn, Nebiyou Simegnew, Behnoush, Amir Hossein, Bekele, Alehegn, Bhojaraja, Vijayalakshmi S ... Dirac, M Ashworth (2024). Trends and levels of the global, regional, and national burden of appendicitis between 1990 and 2021: findings from the Global Burden of Disease Study 2021. The Lancet Gastroenterology and Hepatology, 9 (9), 825-858. doi: 10.1016/S2468-1253(24)00157-2 |
