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2022

Journal Article

Early-stage detection of ovarian cancer based on clinical data using machine learning approaches

Ahamad, Md. Martuza, Aktar, Sakifa, Uddin, Md. Jamal, Rahman, Tasnia, Alyami, Salem A., Al-Ashhab, Samer, Akhdar, Hanan Fawaz, Azad, AKM and Moni, Mohammad Ali (2022). Early-stage detection of ovarian cancer based on clinical data using machine learning approaches. Journal of Personalized Medicine, 12 (8) 1211, 1211. doi: 10.3390/jpm12081211

Early-stage detection of ovarian cancer based on clinical data using machine learning approaches

2022

Journal Article

Genetic pathways associated with sleep problems in children with autism spectrum disorder

Lin, Ping-I, Masi, Anne, Moni, Mohammad Ali, Kummerfeld, Sarah and Eapen, Valsamma (2022). Genetic pathways associated with sleep problems in children with autism spectrum disorder. Frontiers in Psychiatry, 13 904091, 1-8. doi: 10.3389/fpsyt.2022.904091

Genetic pathways associated with sleep problems in children with autism spectrum disorder

2022

Journal Article

A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models

Aurna, Nahid Ferdous, Yousuf, Mohammad Abu, Taher, Kazi Abu, Azad, A.K.M. and Moni, Mohammad Ali (2022). A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models. Computers in Biology and Medicine, 146 105539, 105539. doi: 10.1016/j.compbiomed.2022.105539

A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models

2022

Journal Article

SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins

Charoenkwan, Phasit, Schaduangrat, Nalini, Moni, Mohammad Ali, Lio’, Pietro, Manavalan, Balachandran and Shoombuatong, Watshara (2022). SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Computers in Biology and Medicine, 146 105704, 105704. doi: 10.1016/j.compbiomed.2022.105704

SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins

2022

Journal Article

Hydrogel nanoarchitectonics: an evolving paradigm for ultrasensitive biosensing

Nishat, Zakia Sultana, Hossain, Tanvir, Islam, Md. Nazmul, Phan, Hoang‐Phuong, Wahab, Md A., Moni, Mohammad Ali, Salomon, Carlos, Amin, Mohammed A., Sina, Abu Ali Ibn, Hossain, Md Shahriar A., Kaneti, Yusuf Valentino, Yamauchi, Yusuke and Masud, Mostafa Kamal (2022). Hydrogel nanoarchitectonics: an evolving paradigm for ultrasensitive biosensing. Small, 18 (26) 2107571, 2107571. doi: 10.1002/smll.202107571

Hydrogel nanoarchitectonics: an evolving paradigm for ultrasensitive biosensing

2022

Journal Article

Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum

Masi, Anne, Moni, Mohammod Ali, Azim, Syeda Ishra, Choi, Byungkuk, Heussler, Helen, Lin, Ping-I, Diaz, Antonio Mendoza and Eapen, Valsamma (2022). Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum. Autism Research, 15 (7), 1274-1287. doi: 10.1002/aur.2745

Clinical and behavioral attributes leading to sleep disorders in children on the autism spectrum

2022

Journal Article

GreenMolBD: nature derived bioactive molecules' database

Zahid Hosen, S. M., Junaid, Md., Alam, Muhammad Shaiful, Rubayed, Maruf, Dash, Raju, Akter, Rasheda, Sharmin, Tania, Mouri, Nusrat Jahan, Moni, Mohammad Ali, Khatun, Mahmuda and Mostafa, Mohammad (2022). GreenMolBD: nature derived bioactive molecules' database. Medicinal Chemistry, 18 (6), 724-733. doi: 10.2174/1573406418666211129103458

GreenMolBD: nature derived bioactive molecules' database

2022

Journal Article

Patterns of sensory modulation by age and sex in young people on the autism spectrum

Lane, Alison E., Simpson, Kate, Masi, Anne, Grove, Rachel, Moni, Mohammad Ali, Montgomery, Alicia, Roberts, Jacqui, Silove, Natalie, Whalen, Olivia, Whitehouse, Andrew J. O. and Eapen, Valsamma (2022). Patterns of sensory modulation by age and sex in young people on the autism spectrum. Autism Research, 15 (10), 1840-1854. doi: 10.1002/aur.2762

Patterns of sensory modulation by age and sex in young people on the autism spectrum

2022

Journal Article

Metals in e-waste: occurrence, fate, impacts and remediation technologies

Chakraborty, S. C., Qamruzzaman, M., Zaman, M. W.U., Alam, Md Masruck, Hossain, Md Delowar, Pramanik, B. K., Nguyen, L. N., Nghiem, L. D., Ahmed, M. F., Zhou, J. L., Mondal, Md. Ibrahim.H., Hossain, M. A., Johir, M. A.H., Ahmed, M. B., Sithi, J. A., Zargar, M. and Moni, Mohammad Ali (2022). Metals in e-waste: occurrence, fate, impacts and remediation technologies. Process Safety and Environmental Protection, 162, 230-252. doi: 10.1016/j.psep.2022.04.011

Metals in e-waste: occurrence, fate, impacts and remediation technologies

2022

Journal Article

DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins

Hosen, Md. Faruk, Mahmud, S.M. Hasan, Ahmed, Kawsar, Chen, Wenyu, Moni, Mohammad Ali, Deng, Hong-Wen, Shoombuatong, Watshara and Hasan, Md Mehedi (2022). DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins. Computers in Biology and Medicine, 145 105433, 1-12. doi: 10.1016/j.compbiomed.2022.105433

DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins

2022

Journal Article

NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides

Charoenkwan, Phasit, Schaduangrat, Nalini, Lio, Pietro, Moni, Mohammad Ali, Manavalan, Balachandran and Shoombuatong, Watshara (2022). NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Computers in Biology and Medicine, 148 105700, 1-10. doi: 10.1016/j.compbiomed.2022.105700

NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides

2022

Journal Article

MLBioIGE: integration and interplay of machine learning and bioinformatics approach to identify the genetic effect of SARS-COV-2 on idiopathic pulmonary fibrosis patients

Mehedi, Sk. Tanzir, Ahmed, Kawsar, Bui, Francis M, Rahaman, Musfikur, Hossain, Imran, Tonmoy, Tareq Mahmud, Limon, Rakibul Alam, Ibrahim, Sobhy M and Moni, Mohammad Ali (2022). MLBioIGE: integration and interplay of machine learning and bioinformatics approach to identify the genetic effect of SARS-COV-2 on idiopathic pulmonary fibrosis patients. Biology Methods and Protocols, 7 (1) bpac013, 1-17. doi: 10.1093/biomethods/bpac013

MLBioIGE: integration and interplay of machine learning and bioinformatics approach to identify the genetic effect of SARS-COV-2 on idiopathic pulmonary fibrosis patients

2022

Journal Article

Mutual Interdependence of the physical parameters governing the boundary-layer flow of non-Newtonian fluids

Al-Ashhab, Samer, Wei, Dongming, Alyami, Salem A., Azad, AKM and Moni, Mohammad Ali (2022). Mutual Interdependence of the physical parameters governing the boundary-layer flow of non-Newtonian fluids. Applied Sciences, 12 (10) 5275, 1-12. doi: 10.3390/app12105275

Mutual Interdependence of the physical parameters governing the boundary-layer flow of non-Newtonian fluids

2022

Journal Article

Efficient machine learning models for early stage detection of autism spectrum disorder

Bala, Mousumi, Ali, Mohammad Hanif, Satu, Md. Shahriare, Hasan, Khondokar Fida and Moni, Mohammad Ali (2022). Efficient machine learning models for early stage detection of autism spectrum disorder. Algorithms, 15 (5) 166, 166. doi: 10.3390/a15050166

Efficient machine learning models for early stage detection of autism spectrum disorder

2022

Journal Article

Identifying heterogeneity of diabetics mellitus based on the demographical and clinical characteristics

Islam, Linta, Islam, Md Rafiqul, Akter, Shanjita, Hasan, Md Zobaer, Moni, Mohammad Ali and Uddin, Mohammed Nasir (2022). Identifying heterogeneity of diabetics mellitus based on the demographical and clinical characteristics. Human-Centric Intelligent Systems, 2 (1), 44-54. doi: 10.1007/s44230-022-00003-1

Identifying heterogeneity of diabetics mellitus based on the demographical and clinical characteristics

2022

Journal Article

Discovering common pathophysiological processes between COVID-19 and cystic fibrosis by differential gene expression pattern analysis

Hasan, Md. Tanvir, Abdulrazak, Lway Faisal, Alam, Mohammad Khursheed, Islam, Md. Rezwan, Sathi, Yeasmin Hena, Al-Zahrani, Fahad Ahmed, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2022). Discovering common pathophysiological processes between COVID-19 and cystic fibrosis by differential gene expression pattern analysis. BioMed Research International, 2022 (1) 8078259, 8078259. doi: 10.1155/2022/8078259

Discovering common pathophysiological processes between COVID-19 and cystic fibrosis by differential gene expression pattern analysis

2022

Journal Article

Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction

Uddin, Shahadat, Haque, Ibtisham, Lu, Haohui, Moni, Mohammad Ali and Gide, Ergun (2022). Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction. Scientific Reports, 12 (1) 6256, 6256. doi: 10.1038/s41598-022-10358-x

Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction

2022

Journal Article

Different types of screen time are associated with low life satisfaction in adolescents across 37 European and North American countries

Khan, Asaduzzaman, Moni, Mohammad A., Khan, Shanchita R. and Burton, Nicola W. (2022). Different types of screen time are associated with low life satisfaction in adolescents across 37 European and North American countries. Scandinavian Journal of Public Health, 51 (6) 14034948221082459, 140349482210824-925. doi: 10.1177/14034948221082459

Different types of screen time are associated with low life satisfaction in adolescents across 37 European and North American countries

2022

Journal Article

A machine learning model for predicting individual substance abuse with associated risk-factors

Islam, Uwaise Ibna, Haque, Enamul, Alsalman, Dheyaaldin, Islam, Muhammad Nazrul, Moni, Mohammad Ali and Sarker, Iqbal H. (2022). A machine learning model for predicting individual substance abuse with associated risk-factors. Annals of Data Science, 10 (6), 1-28. doi: 10.1007/s40745-022-00381-0

A machine learning model for predicting individual substance abuse with associated risk-factors

2022

Conference Publication

Predictive risk modelling in mental health issues using machine learning on graphs

Lu, Haohui, Uddin, Shahadat, Hajati, Farshid, Khushi, Matloob and Moni, Mohammad Ali (2022). Predictive risk modelling in mental health issues using machine learning on graphs. ACSW 2022: Australasian Computer Science Week 2022, Online, 14 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3511616.3513112

Predictive risk modelling in mental health issues using machine learning on graphs