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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 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 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 Global, regional and national burden of dietary iron deficiency from 1990 to 2021: a Global Burden of Disease studyLee, Sooji, Son, Yejun, Hwang, Jiyoung, Kim, Min Seo, Shin, Jae Il, Yon, Dong Keon, Kassebaum, Nicholas J., Abate, Semagn Mekonnen, Abate, Yohannes Habtegiorgis, Elhafeez, Samar Abd, Abd-Elsalam, Sherief, Abdoun, Meriem, Abdulkader, Rizwan Suliankatchi, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Armita, Abie, Alemwork, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Abreu, Lucas Guimarães, Abualruz, Hasan, Abukhadijah, Hana J., Aburuz, Salahdein, Abu-Zaid, Ahmed, Adamu, Lawan Hassan, Adane, Mesafint Molla, Addo, Isaac Yeboah ... McLaughlin, Susan A. (2023). Global, regional and national burden of dietary iron deficiency from 1990 to 2021: a Global Burden of Disease study. Cancer Research and Treatment, 55 (1), 279-290. doi: 10.4143/crt.2022.073 |
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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 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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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 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 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 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 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 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 |
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2022 Journal Article iAMAP-SCM: a novel computational tool for large-scale identification of antimalarial peptides using estimated propensity scores of dipeptidesCharoenkwan, Phasit, Schaduangrat, Nalini, Lio, Pietro, Moni, Mohammad Ali, Chumnanpuen, Pramote and Shoombuatong, Watshara (2022). iAMAP-SCM: a novel computational tool for large-scale identification of antimalarial peptides using estimated propensity scores of dipeptides. ACS Omega, 7 (45), 41082-41095. doi: 10.1021/acsomega.2c04465 |
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2022 Journal Article The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysisMestrovic, Tomislav, Robles Aguilar, Gisela, Swetschinski, Lucien R, Ikuta, Kevin S, Gray, Authia P, Davis Weaver, Nicole, Han, Chieh, Wool, Eve E, Gershberg Hayoon, Anna, Hay, Simon I, Dolecek, Christiane, Sartorius, Benn, Murray, Christopher J L, Addo, Isaac Yeboah, Ahinkorah, Bright Opoku, Ahmed, Ayman, Aldeyab, Mamoon A, Allel, Kasim, Ancuceanu, Robert, Anyasodor, Anayochukwu Edward, Ausloos, Marcel, Barra, Fabio, Bhagavathula, Akshaya Srikanth, Bhandari, Dinesh, Bhaskar, Sonu, Cruz-Martins, Natália, Dastiridou, Anna, Dokova, Klara, Dubljanin, Eleonora ... Naghavi, Mohsen (2022). The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis. The Lancet Public Health, 7 (11), e897-e913. doi: 10.1016/s2468-2667(22)00225-0 |
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2022 Journal Article Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learningTalukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md Ashraf, Akhter, Arnisha, Hasan, Khondokar Fida and Moni, Mohammad Ali (2022). Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning. Expert Systems with Applications, 205 117695, 117695. doi: 10.1016/j.eswa.2022.117695 |
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2022 Journal Article Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptidesCharoenkwan, Phasit, Chumnanpuen, Pramote, Schaduangrat, Nalini, Lio’, Pietro, Moni, Mohammad Ali and Shoombuatong, Watshara (2022). Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. Journal of Computer - Aided Molecular Design, 36 (11), 781-796. doi: 10.1007/s10822-022-00476-z |
