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2023 Journal Article HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNNIslam, Md Shofiqul, Hasan, Khondokar Fida, Sultana, Sunjida, Uddin, Shahadat, Lio’, Pietro, Quinn, Julian M.W. and Moni, Mohammad Ali (2023). HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks, 162, 271-287. doi: 10.1016/j.neunet.2023.03.004 |
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2023 Journal Article Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019Momtazmanesh, Sara, Moghaddam, Sahar Saeedi, Ghamari, Seyyed-Hadi, Rad, Elaheh Malakan, Rezaei, Negar, Shobeiri, Parnian, Aali, Amirali, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdoun, Meriem, Abdulah, Deldar Morad, Md Abdullah, Abu Yousuf, Abedi, Aidin, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Achappa, Basavaprabhu, Adane Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adnan, Mohammad, Sakilah Adnani, Qorinah Estiningtyas, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ali, Ahmed, Ayman, Rashid, Tarik Ahmed, Al Hamad, Hanadi ... GBD 2019 Chronic Respiratory Diseases Collaborators (2023). Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019. eClinicalMedicine, 59 101936, 101936. doi: 10.1016/j.eclinm.2023.101936 |
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2023 Journal Article Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for strokeIslam, Tania, Rahman, Md Rezanur, Khan, Asaduzzaman and Moni, Mohammad Ali (2023). Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke. Journal of Biomedical Informatics, 141 104345, 1-13. doi: 10.1016/j.jbi.2023.104345 |
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2023 Journal Article An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorderUddin, Md. Jamal, Ahamad, Md. Martuza, Sarker, Prodip Kumar, Aktar, Sakifa, Alotaibi, Naif, Alyami, Salem A., Kabir, Muhammad Ashad and Moni, Mohammad Ali (2023). An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder. Computers, 12 (5) 92, 1-19. doi: 10.3390/computers12050092 |
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2023 Journal Article GRU-INC: an inception-attention based approach using GRU for human activity recognitionMim, Taima Rahman, Amatullah, Maliha, Afreen, Sadia, Yousuf, Mohammad Abu, Uddin, Shahadat, Alyami, Salem A., Hasan, Khondokar Fida and Moni, Mohammad Ali (2023). GRU-INC: an inception-attention based approach using GRU for human activity recognition. Expert Systems with Applications, 216 119419, 119419. doi: 10.1016/j.eswa.2022.119419 |
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2023 Journal Article Multi-omics data integration methods and their applications in psychiatric disordersSathyanarayanan, Anita, Mueller, Tamara T., Ali Moni, Mohammad, Schueler, Katja, Baune, Bernhard T., Lio, Pietro, Mehta, Divya, Baune, Bernhard T, Dierssen, Mara, Ebert, Bjarke, Fabbri, Chiara, Fusar-Poli, Paolo, Gennarelli, Massimo, Harmer, Catherine, Howes, Oliver D., Janzing, Joost G.E., Lio, Pietro, Maron, Eduard, Mehta, Divya, Minelli, Alessandra, Nonell, Lara, Pisanu, Claudia, Potier, Marie-Claude, Rybakowski, Filip, Serretti, Alessandro, Sqassina, Alessio, Stacey, David, van Westrhenen, Roos and Xicota, Laura (2023). Multi-omics data integration methods and their applications in psychiatric disorders. European Neuropsychopharmacology, 69, 26-46. doi: 10.1016/j.euroneuro.2023.01.001 |
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2023 Journal Article An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patientsHossain, Md Arju, Rahman, Md Habibur, Sultana, Habiba, Ahsan, Asif, Rayhan, Saiful Islam, Hasan, Md Imran, Sohel, Md, Somadder, Pratul Dipta and Moni, Mohammad Ali (2023). An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients. Computers in Biology and Medicine, 155 106656, 1-21. doi: 10.1016/j.compbiomed.2023.106656 |
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2023 Conference Publication Deep CNN-GRU based human activity recognition with automatic feature extraction using smartphone and wearable sensorsKhatun, Mst. Alema, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2023). Deep CNN-GRU based human activity recognition with automatic feature extraction using smartphone and wearable sensors. 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023, Chittagong, Bangladesh, 23-25 February 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ecce57851.2023.10101550 |
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2023 Book Chapter IoT and deep learning-based smart healthcare with an integrated security system to detect various skin lesionsIslam, Khairul, Islam, Zahidul, Amin, Al, Akanda, Mojibur Rahman Redoy, Hossen, Shabuj, Naznin, Feroza and Moni, Mohammad Ali (2023). IoT and deep learning-based smart healthcare with an integrated security system to detect various skin lesions. Artificial intelligence for disease diagnosis and prognosis in smart healthcare. (pp. 219-242) edited by Ghita Kouadri Mostefaoui, S. M. Riazul Islam and Faisal Tariq. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9781003251903-13 |
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2023 Journal Article DTLCx: an improved ResNet architecture to classify normal and conventional pneumonia cases from COVID-19 instances with Grad-CAM-based superimposed visualization utilizing chest X-ray imagesAhamed, Md. Khabir Uddin, Islam, Md Manowarul, Uddin, Md. Ashraf, Akhter, Arnisha, Acharjee, Uzzal Kumar, Paul, Bikash Kumar and Moni, Mohammad Ali (2023). DTLCx: an improved ResNet architecture to classify normal and conventional pneumonia cases from COVID-19 instances with Grad-CAM-based superimposed visualization utilizing chest X-ray images. Diagnostics, 13 (3) 551, 551. doi: 10.3390/diagnostics13030551 |
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2023 Journal Article A dependable hybrid machine learning model for network intrusion detectionTalukder, Md. Alamin, Hasan, Khondokar Fida, Islam, Md. Manowarul, Uddin, Md. Ashraf, Akhter, Arnisha, Yousuf, Mohammand Abu, Alharbi, Fares and Moni, Mohammad Ali (2023). A dependable hybrid machine learning model for network intrusion detection. Journal of Information Security and Applications, 72 103405, 103405. doi: 10.1016/j.jisa.2022.103405 |
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2023 Journal Article Systematic approach to identify therapeutic targets and functional pathways for the cervical cancerHasan, Md. Tanvir, Islam, Md. Rakibul, Islam, Md. Rezwan, Altahan, Baraa Riyadh, Ahmed, Kawsar, Bui, Francis M., Azam, Sami and Moni, Mohammad Ali (2023). Systematic approach to identify therapeutic targets and functional pathways for the cervical cancer. Journal of Genetic Engineering and Biotechnology, 21 (1) 10, 10. doi: 10.1186/s43141-023-00469-x |
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2023 Book Chapter Mining significant pre-diabetes features of diabetes mellitus: a case study of Noakhali, BangladeshSatu, Md. Shahriare, Howlader, Koushik Chandra, Barua, Avijit and Moni, Mohammad Ali (2023). Mining significant pre-diabetes features of diabetes mellitus: a case study of Noakhali, Bangladesh. Applied informatics for Industry 4.0. (pp. 280-292) edited by Nazmul Siddique, Mohammad Shamsul Arefin, Julie Wall and M. Shamim Kaiser. Boca Raton, FL, United States: Chapman and Hall/CRC. doi: 10.1201/9781003256069-23 |
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2023 Journal Article PSRTTCA: a new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learningCharoenkwan, Phasit, Pipattanaboon, Chonlatip, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Lio’, Pietro and Shoombuatong, Watshara (2023). PSRTTCA: a new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Computers in Biology and Medicine, 152 106368, 106368. doi: 10.1016/j.compbiomed.2022.106368 |
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2023 Journal Article PrefaceSatu, Md. Shahriare, Moni, Mohammad Ali, Kaiser, M. Shamim and Arefin, Mohammad Shamsul (2023). Preface. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 491 LNICST, v-vi. |
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2023 Conference Publication Convolutional neural network model to detect COVID-19 patients utilizing chest x-ray imagesSatu, Md. Shahriare, Ahammed, Khair, Abedin, Mohammad Zoynul, Rahman, Md. Auhidur, Islam, Sheikh Mohammed Shariful, Azad, A. K. M., Alyami, Salem A. and Moni, Mohammad Ali (2023). Convolutional neural network model to detect COVID-19 patients utilizing chest x-ray images. First International Conference, MIET 2022, Noakhali, Bangladesh, 23-25 September 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-34619-4_13 |
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2023 Journal Article Multi-disease detection using a prism-based surface plasmon resonance sensor: A TMM and FEM approachRumi, Rabeya Bosrin, Paul, Alok Kumar, Alyami, Salem A. and Moni, Mohammad Ali (2023). Multi-disease detection using a prism-based surface plasmon resonance sensor: A TMM and FEM approach. IEEE Transactions on NanoBioscience, 23 (1), 1-14. doi: 10.1109/tnb.2023.3286269 |
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2023 Journal Article PrefaceSatu, Md. Shahriare, Moni, Mohammad Ali, Kaiser, M. Shamim and Arefin, Mohammad Shamsul (2023). Preface. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 490 LNICST, v-vi. |
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2023 Journal Article A comprehensive review of green computing: past, present, and future researchPaul, Showmick Guha, Saha, Arpa, Arefin, Mohammad Shamsul, Bhuiyan, Touhid, Biswas, Al Amin, Reza, Ahmed Wasif, Alotaibi, Naif M., Alyami, Salem A. and Moni, Mohammad Ali (2023). A comprehensive review of green computing: past, present, and future research. IEEE Access, 11, 1-1. doi: 10.1109/access.2023.3304332 |
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2023 Book Machine intelligence and emerging technologies : first international conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part IIMd. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser and Mohammad Shamsul Arefin eds. (2023). Machine intelligence and emerging technologies : first international conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-34622-4 |
