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2024

Journal Article

Clinically adaptable machine learning model to identify early appreciable features of diabetes In Bangladesh

Nipa, 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

Clinically adaptable machine learning model to identify early appreciable features of diabetes In Bangladesh

2024

Journal Article

Road networks and socio-demographic factors to explore COVID-19 infection during its different waves

Uddin, 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

Road networks and socio-demographic factors to explore COVID-19 infection during its different waves

2024

Journal Article

Deep and shallow learning model-based sleep apnea diagnosis systems: a comprehensive study

Raisa, 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

Deep and shallow learning model-based sleep apnea diagnosis systems: a comprehensive study

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

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))

2024

Journal Article

Review of physical layer security in molecular internet of nano-things

Qiu, 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

Review of physical layer security in molecular internet of nano-things

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

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)

2024

Journal Article

Global, regional, and national burden of pulmonary arterial hypertension, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Leary, 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

Global, regional, and national burden of pulmonary arterial hypertension, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

2024

Conference Publication

UMML: Layout-aware Text-Image Fusion for Unified Multilingual Multimodal Learning

Veeramani, 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

UMML: Layout-aware Text-Image Fusion for Unified Multilingual Multimodal Learning

2024

Conference Publication

GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection

Hossain, 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

GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection

2024

Conference Publication

Bengali Cyberbullying: Detection, Categorization, and Gender Bias Analysis

Hossain, 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

Bengali Cyberbullying: Detection, Categorization, and Gender Bias Analysis

2024

Journal Article

A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets

Mahajan, 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

A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets

2024

Journal Article

Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications

Talukder, 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

Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications

2023

Journal Article

BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients

Sutradhar, 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

BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients

2023

Journal Article

Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities

Nayan, 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

Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities

2023

Conference Publication

Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT

Rahman, 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

Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT

2023

Journal Article

The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Islam, 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

The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2023

Journal Article

Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model

Asadi, 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

Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model

2023

Journal Article

A computational approach to design a polyvalent vaccine against human respiratory syncytial virus

Moin, 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

A computational approach to design a polyvalent vaccine against human respiratory syncytial virus

2023

Conference Publication

CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture

Gupta, 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

CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture

2023

Journal Article

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

Talukder, 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

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning