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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. 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 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 Adverse effects of COVID-19 vaccination: machine learning and statistical approach to identify and classify incidences of morbidity and postvaccination reactogenicityAhamad, Md. Martuza, Aktar, Sakifa, Uddin, Md. Jamal, Rashed-Al-Mahfuz, Md., Azad, A. K. M., Uddin, Shahadat, Alyami, Salem A., Sarker, Iqbal H., Khan, Asaduzzaman, Liò, Pietro, Quinn, Julian M. W. and Moni, Mohammad Ali (2023). Adverse effects of COVID-19 vaccination: machine learning and statistical approach to identify and classify incidences of morbidity and postvaccination reactogenicity. Healthcare, 11 (1) 31, 31. doi: 10.3390/healthcare11010031 |
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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 |
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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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2022 Journal Article Metastatic phenotype and immunosuppressive tumour microenvironment in pancreatic ductal adenocarcinoma: key role of the urokinase plasminogen activator (PLAU)Hosen, S. M. Zahid, Uddin, Md. Nazim, Xu, Zhihong, Buckley, Benjamin J., Perera, Chamini, Pang, Tony C. Y., Mekapogu, Alpha Raj, Moni, Mohammad Ali, Notta, Faiyaz, Gallinger, Steven, Pirola, Ron, Wilson, Jeremy, Ranson, Marie, Goldstein, David and Apte, Minoti (2022). Metastatic phenotype and immunosuppressive tumour microenvironment in pancreatic ductal adenocarcinoma: key role of the urokinase plasminogen activator (PLAU). Frontiers in Immunology, 13 1060957, 1060957. doi: 10.3389/fimmu.2022.1060957 |
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2022 Journal Article Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan imagesUddin, Khandaker Mohammad Mohi, Dey, Samrat Kumar, Babu, Hafiz Md. Hasan, Mostafiz, Rafid, Uddin, Shahadat, Shoombuatong, Watshara and Moni, Mohammad Ali (2022). Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images. Scientific Reports, 12 (1) 21796, 1-15. doi: 10.1038/s41598-022-25539-x |
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2022 Journal Article Identification of glycophorin C as a prognostic marker for human breast cancer using bioinformatic analysisRahman, Md. Shahedur, Biswas, Polash Kumar, Saha, Subbroto Kumar and Moni, Mohammad Ali (2022). Identification of glycophorin C as a prognostic marker for human breast cancer using bioinformatic analysis. Network Modeling Analysis in Health Informatics and Bioinformatics, 11 (1) 7. doi: 10.1007/s13721-021-00352-0 |
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2022 Journal Article AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learningCharoenkwan, Phasit, Ahmed, Saeed, Nantasenamat, Chanin, Quinn, Julian M. W., Moni, Mohammad Ali, Lio’, Pietro and Shoombuatong, Watshara (2022). AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning. Scientific Reports, 12 (1) 7697, 7697. doi: 10.1038/s41598-022-11897-z |
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2022 Journal Article StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategySchaduangrat, Nalini, Anuwongcharoen, Nuttapat, Moni, Mohammad Ali, Lio’, Pietro, Charoenkwan, Phasit and Shoombuatong, Watshara (2022). StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy. Scientific Reports, 12 (1) 16435, 1-16. doi: 10.1038/s41598-022-20143-5 |
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2022 Journal Article EEG-based emotion analysis using non-linear features and ensemble learning approachesRahman, Md. Mustafizur, Sarkar, Ajay Krishno, Hossain, Md. Amzad and Moni, Mohammad Ali (2022). EEG-based emotion analysis using non-linear features and ensemble learning approaches. Expert Systems with Applications, 207 118025, 1-26. doi: 10.1016/j.eswa.2022.118025 |
