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2024 Journal Article An integrated framework to identify prognostic biomarkers and novel therapeutic targets in hepatocellular carcinoma-based disabilitiesRahman, Md. Okibur, Das, Asim, Naeem, Nazratun, Jabeen-E-Tahnim,, Hossain, Md. Ali, Alam, Md. Nur, Azad, A. K. M., Alyami, Salem A., Alotaibi, Naif, Al-Moisheer, A. S. and Moni, Mohammod Ali (2024). An integrated framework to identify prognostic biomarkers and novel therapeutic targets in hepatocellular carcinoma-based disabilities. Biology, 13 (12) 966. doi: 10.3390/biology13120966 |
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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 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 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 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 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 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 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 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 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 ... Kyu, Hmwe Hmwe (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 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 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 (Basingstoke), 38 (11), 2070-2082. doi: 10.1038/s41433-024-03050-z |
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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 |
