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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 2019

Momtazmanesh, 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

Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019

2023

Journal Article

HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

Islam, 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

HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN

2023

Journal Article

An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder

Uddin, 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

An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder

2023

Journal Article

GRU-INC: an inception-attention based approach using GRU for human activity recognition

Mim, 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

GRU-INC: an inception-attention based approach using GRU for human activity recognition

2023

Journal Article

Multi-omics data integration methods and their applications in psychiatric disorders

Sathyanarayanan, 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

Multi-omics data integration methods and their applications in psychiatric disorders

2023

Journal Article

An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients

Hossain, 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

An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients

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 images

Ahamed, 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

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

2023

Journal Article

A dependable hybrid machine learning model for network intrusion detection

Talukder, 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

A dependable hybrid machine learning model for network intrusion detection

2023

Journal Article

Systematic approach to identify therapeutic targets and functional pathways for the cervical cancer

Hasan, 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

Systematic approach to identify therapeutic targets and functional pathways for the cervical cancer

2023

Journal Article

Preface

Satu, 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.

Preface

2023

Journal Article

A comprehensive review of green computing: past, present, and future research

Paul, 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

A comprehensive review of green computing: past, present, and future research

2023

Journal Article

Adverse effects of COVID-19 vaccination: machine learning and statistical approach to identify and classify incidences of morbidity and postvaccination reactogenicity

Ahamad, 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

Adverse effects of COVID-19 vaccination: machine learning and statistical approach to identify and classify incidences of morbidity and postvaccination reactogenicity

2023

Journal Article

Preface

Satu, 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.

Preface

2023

Journal Article

PSRTTCA: a new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning

Charoenkwan, 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

PSRTTCA: a new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning

2023

Journal Article

Multi-disease detection using a prism-based surface plasmon resonance sensor: A TMM and FEM approach

Rumi, 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

Multi-disease detection using a prism-based surface plasmon resonance sensor: A TMM and FEM approach

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

Metastatic phenotype and immunosuppressive tumour microenvironment in pancreatic ductal adenocarcinoma: key role of the urokinase plasminogen activator (PLAU)

2022

Journal Article

StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy

Schaduangrat, 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

StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy

2022

Journal Article

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

Charoenkwan, 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

AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning

2022

Journal Article

Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images

Uddin, 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

Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images

2022

Journal Article

Identification of glycophorin C as a prognostic marker for human breast cancer using bioinformatic analysis

Rahman, 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

Identification of glycophorin C as a prognostic marker for human breast cancer using bioinformatic analysis