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2024 Conference Publication UMML: layout-aware text-image fusion for unified multilingual multimodal learningVeeramani, Hariram, Thapa, Surendrabikram, Salman, Mohammad, Moni, Mohammad Ali and Naseem, Usman (2024). UMML: layout-aware text-image fusion for unified multilingual multimodal learning. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 9 December 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00029 |
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2024 Conference Publication GDRNet: a novel graph neural network architecture for diabetic retinopathy detectionHossain, Shahed, Hasan, Md. Zahid, Jim, Risul Islam, Shuva, Taslima Ferdaus, Rahman, Md. Tanvir, Bulbul, Abdullah Al-Mamun, Khan, Risala Tasin, Kaiser, M. Shamim and Moni, Mohammad Ali (2024). GDRNet: a novel graph neural network architecture for diabetic retinopathy detection. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 9 December 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00055 |
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2023 Journal Article BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patientsSutradhar, Ananda, Al Rafi, Mustahsin, Shamrat, F M Javed Mehedi, Ghosh, Pronab, Das, Subrata, Islam, Md Anaytul, Ahmed, Kawsar, Zhou, Xujuan, Azad, A. K.M., Alyami, Salem A. and Moni, Mohammad Ali (2023). BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients. Scientific Reports, 13 (1) 22874, 1-16. doi: 10.1038/s41598-023-48486-7 |
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2023 Journal Article Network based approach to identify interactions between Type 2 diabetes and cancer comorbiditiesNayan, Saidul Islam, Rahman, Md Habibur, Hasan, Md. Mehedi, Raj, Sheikh Md. Razibul Hasan, Almoyad, Mohammad Ali Abdullah, Liò, Pietro and Moni, Mohammad Ali (2023). Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities. Life Sciences, 335 122244, 1-16. doi: 10.1016/j.lfs.2023.122244 |
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2023 Conference Publication Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoTRahman, Wahidur, Abul Ala Walid, Md., Saklain Galib, S. M., Rokhsana, Kaniz, Abdul Hai, Talha Bin, Mohammad Azad, Mir and Ali Moni, Mohammad (2023). Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT. 2023 26th International Conference on Computer and Information Technology, ICCIT 2023, Cox's Bazar, Bangladesh, 13-15 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccit60459.2023.10441444 |
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2023 Journal Article Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning modelAsadi, Shirin, Tartibian, Bakhtyar and Moni, Mohammad Ali (2023). Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model. Scientific Reports, 13 (1) 8207, 1-10. doi: 10.1038/s41598-023-34974-3 |
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2023 Journal Article The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019Islam, Sheikh Mohammed Shariful, Uddin, Riaz, Das, Subasish, Ahmed, Syed Imran, Zaman, Sojib Bin, Alif, Sheikh Mohammad, Hossen, Md Tanvir, Sarker, Malabika, Siopis, George, Livingstone, Katherine M., Mehlman, Max L., Rahman, Md. Marufur, Chowdhury, Rahat I., Alim, Md. Abdul, Choudhury, Sohel Reza, Ahmed, Syed Masud, Adhikary, Ripon Kumar, Anjum, Afifa, Banik, Palash Chandra, Chowdhury, Fazle Rabbi, Faruk, Md Omar, Gupta, Rajat Das, Hannan, Md Abdul, Haque, Md Nuruzzaman, Haque, Syed Emdadul, Hasan, M. Tasdik, Hossain, Md Belal, Hossain, Md Mahbub, Hossain, Muttaquina ... Naghavi, Mohsen (2023). The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Global Health, 11 (12), e1931-e1942. doi: 10.1016/S2214-109X(23)00432-1 |
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2023 Journal Article A computational approach to design a polyvalent vaccine against human respiratory syncytial virusMoin, Abu Tayab, Ullah, Md. Asad, Patil, Rajesh B., Faruqui, Nairita Ahsan, Araf, Yusha, Das, Sowmen, Uddin, Khaza Md. Kapil, Hossain, Md. Shakhawat, Miah, Md. Faruque, Moni, Mohammad Ali, Chowdhury, Dil Umme Salma and Islam, Saiful (2023). A computational approach to design a polyvalent vaccine against human respiratory syncytial virus. Scientific Reports, 13 (1) 9702, 9702. doi: 10.1038/s41598-023-35309-y |
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2023 Conference Publication CervixMed: Detecting cervical cancer based on combinational data using hybrid architectureGupta, Debashis, Golder, Aditi, Haque, Md. Mahfuzul and Moni, Mohammad Ali (2023). CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW Australia, 28 November - 1 December 2023. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta60407.2023.00085 |
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2023 Journal Article An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuningTalukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md. Ashraf, Akhter, Arnisha, Pramanik, Md. Alamgir Jalil, Aryal, Sunil, Almoyad, Muhammad Ali Abdulllah, Hasan, Khondokar Fida and Moni, Mohammad Ali (2023). An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. Expert Systems with Applications, 230 120534, 120534. doi: 10.1016/j.eswa.2023.120534 |
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2023 Journal Article Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approachesAhmed, Fee Faysal, Das, Arnob Dip, Sumi, Mst. Joynab, Islam, Md. Zohurul, Rahman, Md. Shahedur, Rashid, Md. Harun, Alyami, Salem A., Alotaibi, Naif, Azad, A. K.M. and Moni, Mohammad Ali (2023). Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches. Scientific Reports, 13 (1) 19072, 1-14. doi: 10.1038/s41598-023-46455-8 |
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2023 Journal Article Global, regional, and national burden of spinal cord injury, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019Safdarian, Mahdi, Trinka, Eugen, Rahimi-Movaghar, Vafa, Thomschewski, Aljoscha, Aali, Amirali, Abady, Gdiom Gebreheat, Abate, Semagn Mekonnen, Abd-Allah, Foad, Abedi, Aidin, Adane, Denberu Eshetie, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Haroon, Amanat, Nasir, Angappan, Dhanalakshmi, Arabloo, Jalal, Aryannejad, Armin, Athari, Seyyed Shamsadin, Atreya, Alok, Azadnajafabad, Sina, Azzam, Ahmed Y, Babamohamadi, Hassan, Banik, Palash Chandra, Bardhan, Mainak, Bashiri, Azadeh, Berhie, Alemshet Yirga, Bhat, Ajay Nagesh, Brown, Julie ... GBD Spinal Cord Injuries Collaborators (2023). Global, regional, and national burden of spinal cord injury, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, 22 (11), 1026-1047. doi: 10.1016/S1474-4422(23)00287-9 |
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2023 Journal Article A machine learning approach for risk factors analysis and survival prediction of Heart Failure patientsAli, Md. Mamun, Al-Doori, Vian S., Mirzah, Nubogh, Hemu, Asifa Afsari, Mahmud, Imran, Azam, Sami, Al-tabatabaie, Kusay Faisal, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2023). A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients. Healthcare Analytics, 3 100182, 1-12. doi: 10.1016/j.health.2023.100182 |
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2023 Journal Article Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021Gill, Tiffany K, Mittinty, Manasi Murthy, March, Lyn M, Steinmetz, Jaimie D, Culbreth, Garland T, Cross, Marita, Kopec, Jacek A, Woolf, Anthony D, Haile, Lydia M, Hagins, Hailey, Ong, Kanyin Liane, Kopansky-Giles, Deborah R, Dreinhoefer, Karsten E, Betteridge, Neil, Abbasian, Mohammadreza, Abbasifard, Mitra, Abedi, krishna, Adesina, Miracle Ayomikun, Aithala, Janardhana P, Akbarzadeh-Khiavi, Mostafa, Al Thaher, Yazan, Alalwan, Tariq A, Alzahrani, Hosam, Amiri, Sohrab, Antony, Benny, Arabloo, Jalal, Aravkin, Aleksandr Y, Arumugam, Ashokan, Aryal, Krishna K ... GBD 2021 Other Musculoskeletal Disorders Collaborators (2023). Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. The Lancet Rheumatology, 5 (11), e670-e682. doi: 10.1016/S2665-9913(23)00232-1 |
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2023 Journal Article Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021Moberg, Madeline E, Hamilton, Erin B, Zeng, Scott M, Bryazka, Dana, Zhao, Jeff T, Feldman, Rachel, Abate, Yohannes Habtegiorgis, Abbasi-Kangevari, Mohsen, Abdurehman, Ame Mehadi, Abedi, Aidin, Abu-Gharbieh, Eman, Addo, Isaac Yeboah, Adepoju, Abiola Victor, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Danial, Ahmed, Haroon, Alem, Dejene Tsegaye, Al-Gheethi, Adel Ali Saeed, Alimohamadi, Yousef, Ameyaw, Edward Kwabena, Amrollahi-Sharifabadi, Mohammad, Anagaw, Tadele Fentabil, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Athari, Seyyed Shamsadin ... Ong, Kanyin Liane (2023). Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021. The Lancet Public Health, 8 (11), e839-e849. doi: 10.1016/S2468-2667(23)00185-8 |
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2023 Journal Article Development and performance analysis of machine learning methods for predicting depression among menopausal womenAli, Md. Mamun, Algashamy, Hussein Ali A., Alzidi, Enas, Ahmed, Kawsar, Bui, Francis M., Patel, Shobhit K., Azam, Sami, Abdulrazak, Lway Faisal and Moni, Mohammad Ali (2023). Development and performance analysis of machine learning methods for predicting depression among menopausal women. Healthcare Analytics, 3 100202, 100202. doi: 10.1016/j.health.2023.100202 |
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2023 Journal Article An intelligent thyroid diagnosis system utilising multiple ensemble and explainable algorithms with medical supported attributesSutradhar, Ananda, Al Rafi, Mustahsin, Ghosh, Pronab, Shamrat, F M Javed Mehedi, Moniruzzaman, Md., Ahmed, Kawsar, Azad, AKM, Bui, Francis M., Chen, Li and Moni, Mohammad Ali (2023). An intelligent thyroid diagnosis system utilising multiple ensemble and explainable algorithms with medical supported attributes. IEEE Transactions on Artificial Intelligence, 5 (6), 2840-2855. doi: 10.1109/tai.2023.3327981 |
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2023 Journal Article Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survivalIslam, Md. Monirul, Kashem, Mohammod Abul, Alyami, Salem A. and Moni, Mohammad Ali (2023). Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival. Microprocessors and Microsystems, 102 104930, 1-12. doi: 10.1016/j.micpro.2023.104930 |
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2023 Journal Article FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AIHasan, Md Mahmodul, Hossain, Muhammad Minoar, Rahman, Mohammad Motiur, Azad, AKM, Alyami, Salem A. and Moni, Mohammad Ali (2023). FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI. Computers in Biology and Medicine, 165 107407, 107407. doi: 10.1016/j.compbiomed.2023.107407 |
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2023 Journal Article Global burden of peripheral artery disease and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019Kim, Min Seo, Hwang, Jimin, Yon, Dong Keon, Lee, Seung Won, Jung, Se Yong, Park, Seoyeon, Johnson, Catherine Owens, Stark, Benjamin A., Razo, Christian, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abhari, Amir Parsa, Aboyans, Victor, Adane, Denberu Eshetie Adane, Adebayo, Oladimeji M., Alahdab, Fares, Almustanyir, Sami, Aly, Hany, Ameyaw, Edward Kwabena, Anderson, Jason A., Andrei, Catalina Liliana, Aryan, Zahra, Aujayeb, Avinash, Bagherieh, Sara, Baltatu, Ovidiu Constantin, Banach, Maciej, Bayileyegn, Nebiyou Simegnew, Bearne, Lindsay M., Behnoush, Amir Hossein ... Roth, Gregory A. (2023). Global burden of peripheral artery disease and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Global Health, 11 (10), E1553-E1565. doi: 10.1016/S2214-109X(23)00355-8 |
