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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 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 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 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 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 |
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2024 Journal Article Global, regional, and national burden of upper respiratory infections and otitis media, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021Sirota, Sarah Brooke, Doxey, Matthew C, Dominguez, Regina-Mae Villanueva, Bender, Rose Grace, Vongpradith, Avina, Albertson, Samuel B, Novotney, Amanda, Burkart, Katrin, Carter, Austin, Abdi, Parsa, Abdoun, Meriem, Abebe, Ayele Mamo, Abegaz, Kedir Hussein, Aboagye, Richard Gyan, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abualruz, Hasan, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adane, Mesafint Molla, Addo, Isaac Yeboah, Adekanmbi, Victor, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afzal, Muhammad Sohail, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Ayman ... GBD 2021 Upper Respiratory Infections Otitis Media Collaborators (2024). Global, regional, and national burden of upper respiratory infections and otitis media, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021. The Lancet Infectious Diseases, 25 (1), 36-51. doi: 10.1016/s1473-3099(24)00430-4 |
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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 Journal Article Global pattern, trend, and cross-country inequality of early musculoskeletal disorders from 1990 to 2019, with projection from 2020 to 2050Wu, Dongze, Jin, Yingzhao, Guo, Cui, Abbasian, Mohammadreza, Abbasifard, Mitra, Abbott, J. Haxby, Abdullahi, Auwal, Abedi, Aidin, Abidi, Hassan, Abolhassani, Hassan, Abu-Gharbieh, Eman, Aburuz, Salahdein, Abu-Zaid, Ahmed, Addo, Isaac Yeboah, Adegboye, Oyelola A., Adepoju, Abiola Victor, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Aghamiri, Shahin, Ahmad, Danish, Ahmed, Ayman, Aithala, Janardhana P., Akhlaghi, Shiva, Akkala, Sreelatha, Alalwan, Tariq A., Albashtawy, Mohammed, Alemi, Hediyeh, Alhalaiqa, Fadwa Alhalaiqa Naji, Ali, Endale Alemayehu ... Wu, Dongze (2024). Global pattern, trend, and cross-country inequality of early musculoskeletal disorders from 1990 to 2019, with projection from 2020 to 2050. Med, 5 (8), 943-962. doi: 10.1016/j.medj.2024.04.009 |
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2024 Journal Article Global estimates on the number of people blind or visually impaired by age-related macular degeneration: a meta-analysis from 2000 to 2020Furtado, João M., Jonas, Jost B., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria Vittoria, Arrigo, Alessandro, Leveziel, Nicolas, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Flaxman, Seth, Battaglia Parodi, Maurizio, Bikbov, Mukkharram M., Braithwaite, Tasanee, Bron, Alain, Cheng, Ching-Yu, Congdon, Nathan, Del Monte, Monte A., Ehrlich, Joshua R., Fricke, Tim, Friedman, David, Gazzard, Gus, Hartnett, M. Elizabeth, Kahloun, Rim, Kempen, John H., Khairallah, Moncef, Khanna, Rohit C., Kim, Judy E., Lansingh, Van Charles ... Bourne, Rupert R. A. (2024). Global estimates on the number of people blind or visually impaired by age-related macular degeneration: a meta-analysis from 2000 to 2020. Eye, 38 (11), 2070-2082. doi: 10.1038/s41433-024-03050-z |
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2024 Journal Article Global, regional, and national burden of gout, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021Cross, Marita, Ong, Kanyin Liane, Culbreth, Garland T, Steinmetz, Jaimie D, Cousin, Ewerton, Lenox, Hailey, Kopec, Jacek A, Haile, Lydia M, Brooks, Peter M, Kopansky-Giles, Deborah R, Dreinhoefer, Karsten E, Betteridge, Neil, Abbasian, Mohammadreza, Abbasifard, Mitra, Abedi, Aidin, Aboye, Melka Biratu, Aravkin, Aleksandr Y, Artaman, Al, Banach, Maciej, Bensenor, Isabela M, Bhagavathula, Akshaya Srikanth, Bhat, Ajay Nagesh, Bitaraf, Saeid, Buchbinder, Rachelle, Burkart, Katrin, Chu, Dinh-Toi, Chung, Sheng-Chia, Dadras, Omid, Dai, Xiaochen ... Woolf, Anthony D (2024). Global, regional, and national burden of gout, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. The Lancet Rheumatology, 6 (8), e507-e517. doi: 10.1016/S2665-9913(24)00117-6 |
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2024 Journal Article The relationship between hair cortisol concentration and autism diagnosisLin, Ping-I, John, James Rufus, Masi, Anne, Ong, Lin Kooi, Mathew, Nisha E., Moni, Mohammed Ali, Eapen, Valsamma and Walker, Adam K. (2024). The relationship between hair cortisol concentration and autism diagnosis. Journal of Psychiatric Research, 176, 68-76. doi: 10.1016/j.jpsychires.2024.05.052 |
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2024 Journal Article An effective screening of COVID‐19 pneumonia by employing chest X‐ray segmentation and attention‐based ensembled classificationSayeed, Abu, Khansur, Nasif Osman, Srizon, Azmain Yakin, Faruk, Md. Farukuzzaman, Alyami, Salem A., Azad, AKM and Moni, Mohammad Ali (2024). An effective screening of COVID‐19 pneumonia by employing chest X‐ray segmentation and attention‐based ensembled classification. IET Image Processing, 18 (9), 2400-2416. doi: 10.1049/ipr2.13106 |
