2024 Journal Article Clinically adaptable machine learning model to identify early appreciable features of diabetes In BangladeshNipa, Nurjahan, Riyad, Md. Mahmudul Hasan, Satu, Md. Shahriare, Walliullah, Md., Howlader, Koushik Chandra and Moni, Mohammad Ali (2024). Clinically adaptable machine learning model to identify early appreciable features of diabetes In Bangladesh. Intelligent Medicine, 4 (1), 22-32. doi: 10.1016/j.imed.2023.01.003 |
2024 Journal Article Road networks and socio-demographic factors to explore COVID-19 infection during its different wavesUddin, Shahadat, Khan, Arif, Lu, Haohui, Zhou, Fangyu, Karim, Shakir, Hajati, Farshid and Moni, Mohammad Ali (2024). Road networks and socio-demographic factors to explore COVID-19 infection during its different waves. Scientific Reports, 14 (1) 1551, 1-10. doi: 10.1038/s41598-024-51610-w |
2024 Journal Article Deep and shallow learning model-based sleep apnea diagnosis systems: a comprehensive studyRaisa, Roksana Akter, Rodela, Ayesha Siddika, Yousuf, Mohammad Abu, Azad, AKM, Alyami, Salem A., Liò, Pietro, Islam, Md Zahidul, Pogrebna, Ganna and Moni, Mohammad Ali (2024). Deep and shallow learning model-based sleep apnea diagnosis systems: a comprehensive study. IEEE Access, 12 122959, 1-29. doi: 10.1109/access.2024.3426928 |
2024 Journal Article Corrigendum to “DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model” [Results in Engineering 24 (2024) 102878] (Results in Engineering (2024) 24, (S2590123024011332), (10.1016/j.rineng.2024.102878))Rahman, Md. Ashikur, Ali, Md. Mamun, Ahmed, Kawsar, Mahmud, Imran, Bui, Francis M., Chen, Li, Kumar, Santosh and Moni, Mohammad Ali (2024). Corrigendum to “DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model” [Results in Engineering 24 (2024) 102878] (Results in Engineering (2024) 24, (S2590123024011332), (10.1016/j.rineng.2024.102878)). Results in Engineering, 24 103178, 103178. doi: 10.1016/j.rineng.2024.103178 |
2024 Journal Article Review of physical layer security in molecular internet of nano-thingsQiu, Song, Wei, Zhuangkun, Huang, Yu, Abbaszadeh, Mahmoud, Charmet, Jerome, Li, Bin and Guo, Weisi (2024). Review of physical layer security in molecular internet of nano-things. IEEE Transactions on NanoBioscience, 23 (1), 91-100. doi: 10.1109/tnb.2023.3285973 |
2024 Journal Article Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1)Pesudovs, Konrad, Lansingh, Van Charles, Kempen, John H., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria Vittoria, Arrigo, Alessandro, Leveziel, Nicolas, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Flaxman, Seth, Bikbov, Mukkharram M., Braithwaite, Tasanee, Bron, Alain, Cheng, Ching-Yu, Del Monte, Monte A., Ehrlich, Joshua R., Ellwein, Leon B., Friedman, David, Furtado, João M., Gazzard, Gus, George, Ronnie, Hartnett, M. Elizabeth, Jonas, Jost B., Kahloun, Rim, Khairallah, Moncef, Khanna, Rohit C., Leasher, Janet ... Steinmetz, Jaimie D. (2024). Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1). Eye (Basingstoke), 38 (11), 2229-2231. doi: 10.1038/s41433-024-03161-7 |
2024 Journal Article Global, regional, and national burden of pulmonary arterial hypertension, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021Leary, Peter J, Lindstrom, Megan, Johnson, Catherine O, Emmons-Bell, Sophia, Rich, Stuart, Corris, Paul A, DuBrock, Hilary M, Ventetuolo, Corey E, Abate, Yohannes Habtegiorgis, Abdelmasseh, Michael, Aboagye, Richard Gyan, Abualruz, Hasan, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adamu, Lawan Hassan, Adão, Rui, Addo, Isaac Yeboah, Adedoyin, Rufus Adesoji, Adetunji, Juliana Bunmi, Adzigbli, Leticia Akua, Ahinkorah, Bright Opoku, Ahmad, Firdos, Ahmadzade, Amir Mahmoud, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Syed Anees, Akhlaghi, Shiva, Akkaif, Mohammed Ahmed, Al Awaidy, Salah ... Roth, Gregory A (2024). Global, regional, and national burden of pulmonary arterial hypertension, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Respiratory Medicine, 13 (1), 69-79. doi: 10.1016/S2213-2600(24)00295-9 |
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. IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00029 |
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. IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00055 |
2024 Conference Publication Bengali Cyberbullying: Detection, Categorization, and Gender Bias AnalysisHossain, Md. Mithun, Hossain, Md. Shakil, Chaki, Sudipto, Rahman, Md. Saifur and Moni, Mohammad Ali (2024). Bengali Cyberbullying: Detection, Categorization, and Gender Bias Analysis. IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00027 |
2024 Journal Article A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasetsMahajan, Palak, Uddin, Shahadat, Hajati, Farshid, Moni, Mohammad Ali and Gide, Ergun (2024). A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets. Health and Technology, 14 (3), 597-613. doi: 10.1007/s12553-024-00835-w |
2024 Journal Article Toward reliable diabetes prediction: Innovations in data engineering and machine learning applicationsTalukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md Ashraf, Kazi, Mohsin, Khalid, Majdi, Akhter, Arnisha and Moni, Mohammad Ali (2024). Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications. Digital Health, 10. doi: 10.1177/20552076241271867 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |