Mohammad Ali Moni - researchr alias

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Viewing Publication 1 - 97 from 97

2024

Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumorAtika Akter, Nazeela Nosheen, Sabbir Ahmed, Mariom Hossain, Mohammad Abu Yousuf, Mohammad Ali Abdullah Almoyad, Khondokar Fida Hasan, Mohammad Ali Moni. eswa, 238(Part F):122347, March 2024. [doi]

"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"Md. Shofiqul Islam, Muhammad Nomani Kabir, Ngahzaifa Ab Ghani, Kamal Zuhairi Zamli, Nor Saradatul Akmar Zulkifli, Md. Mustafizur Rahman, Mohammad Ali Moni. air, 57(3):62, March 2024. [doi]

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extractionMd. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin 0001, Khondokar Fida Hasan, Selina Sharmin, Salem A. Alyami, Mohammad Ali Moni. jbd, 11(1):33, December 2024. [doi]

2023

PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learningPhasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong. cbm, 152:106368, 2023. [doi]

StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI imagesAnjir Ahmed Chowdhury, S. M. Hasan Mahmud, Khadija Kubra Shahjalal Hoque, Kawsar Ahmed, Francis M. Bui, Pietro Lio, Mohammad Ali Moni, Fahad Ahmed Al-Zahrani. jksucis, 35(8):101647, September 2023. [doi]

CervixMed: Detecting Cervical Cancer based on combinational data using Hybrid architectureDebashis Gupta, Aditi Golder, Md Mahfuzul Haque, Mohammad Ali Moni. dicta 2023: 570-577 [doi]

FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AIMd. Mahmodul Hasan, Muhammad Minoar Hossain, Mohammad Motiur Rahman, A. K. M. Azad, Salem A. Alyami, Mohammad Ali Moni. cbm, 165:107407, October 2023. [doi]

An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patientsMd Arju Hossain, Md. Habibur Rahman, Habiba Sultana, Asif Ahsan, Saiful Islam Rayhan, Md Imran Hasan, Md. Sohel, Pratul Dipta Somadder, Mohammad Ali Moni. cbm, 155:106656, March 2023. [doi]

The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cellsMd. Ali Hossain, Tania Akter Asa, Md Rabiul Auwul, Md. Aktaruzzaman, Md. Mahfizur Rahman, M. Zahidur Rahman, Mohammad Ali Moni. cbm, 159:106885, June 2023. [doi]

Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survivalMd. Monirul Islam, Mohammod Abul Kashem, Salem A. Alyami, Mohammad Ali Moni. mam, 102:104930, 2023. [doi]

HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNNMd. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni. NN, 162:271-287, May 2023. [doi]

Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for strokeTania Islam, Md. Rezanur Rahman, Asaduzzaman Khan, Mohammad Ali Moni. jbi, 141:104345, May 2023. [doi]

GRU-INC: An inception-attention based approach using GRU for human activity recognitionTaima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Abu Yousuf, Shahadat Uddin, Salem A. Alyami, Khondokar Fida Hasan, Mohammad Ali Moni. eswa, 216:119419, April 2023. [doi]

A Comprehensive Review of Green Computing: Past, Present, and Future ResearchShowmick Guha Paul, Arpa Saha, Mohammad Shamsul Arefin, Touhid Bhuiyan, Al Amin Biswas, Ahmed Wasif Reza, Naif M. Alotaibi, Salem A. Alyami, Mohammad Ali Moni. access, 11:87445-87494, 2023. [doi]

A robust and clinically applicable deep learning model for early detection of Alzheimer'sMd Masud Rana, Md. Manowarul Islam, Md. Alamin Talukder, Md. Ashraf Uddin 0001, Sunil Aryal, Naif M. Alotaibi, Salem A. Alyami, Khondokar Fida Hasan, Mohammad Ali Moni. iet-ipr, 17(14):3959-3975, 2023. [doi]

A dependable hybrid machine learning model for network intrusion detectionMd. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, Ashraf Uddin 0004, Arnisha Akhter, Mohammand Abu Yousuf, Fares Alharbi, Mohammad Ali Moni. istr, 72:103405, 2023. [doi]

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuningMd. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin 0001, Arnisha Akhter, Md. Alamgir Jalil Pramanik, Sunil Aryal, Muhammad Ali Abdulllah Almoyad, Khondokar Fida Hasan, Mohammad Ali Moni. eswa, 230:120534, November 2023. [doi]

An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum DisorderMd. Jamal Uddin, Md. Martuza Ahamad, Prodip Kumar Sarker, Sakifa Aktar, Naif Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni. computers, 12(5):92, 2023. [doi]

A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from BangladeshMd. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, Md. Abul Ala Walid, Sakifa Aktar, Naif Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni. information, 14(7):376, 2023. [doi]

2022

A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN modelsNahid Ferdous Aurna, Mohammad Abu Yousuf, Kazi Abu Taher, A. K. M. Azad, Mohammad Ali Moni. cbm, 146:105539, 2022. [doi]

Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum DisorderMousumi Bala, Mohammad Hanif Ali, Md. Shahriare Satu, Khondokar Fida Hasan, Mohammad Ali Moni. algorithms, 15(5):166, 2022. [doi]

Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptidesPhasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong. jcamd, 36(11):781-796, 2022. [doi]

SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteinsPhasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong. cbm, 146:105704, 2022. [doi]

NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptidesPhasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong. cbm, 148:105700, 2022. [doi]

DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteinsMd. Faruk Hosen, S. M. Hasan Mahmud, Kawsar Ahmed, Wenyu Chen, Mohammad Ali Moni, Hong-Wen Deng, Watshara Shoombuatong, Md. Mehedi Hasan 0002. cbm, 145:105433, 2022. [doi]

Machine learning models for classification and identification of significant attributes to detect type 2 diabetesKoushik Chandra Howlader, Md. Shahriare Satu, Md. Abdul Awal, Md. Rabiul Islam 0001, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Mohammad Ali Moni. hisas, 10(1):2, 2022. [doi]

CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete CrackMd. Monirul Islam, Md. Belal Hossain, Md. Nasim Akhtar, Mohammad Ali Moni, Khondokar Fida Hasan. algorithms, 15(8):287, 2022. [doi]

Identifying Heterogeneity of Diabetics Mellitus Based on the Demographical and Clinical CharacteristicsLinta Islam, Md. Rafiqul Islam 0004, Shanjita Akter, Md Zobaer Hasan, Mohammad Ali Moni, Mohammed Nasir Uddin. hcisys, 2(1-2):44-54, June 2022. [doi]

A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitusHaohui Lu, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni, Matloob Khushi. apin, 52(3):2411-2422, 2022. [doi]

Predictive risk modelling in mental health issues using machine learning on graphsHaohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni. acsw 2022: 168-175 [doi]

Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum DisorderMufti Mahmud, M. Shamim Kaiser, Muhammad Arifur Rahman, Tanu Wadhera, David J. Brown 0001, Nicholas Shopland, Andrew M. Burton, Thomas Hughes-Roberts, Shamim Al Mamun, Cosimo Ieracitano, Marzia Hoque Tania, Mohammad Ali Moni, Sheikh Mohammed Shariful Islam, Kanad Ray, Mohammad Shahadat Hossain. hci 2022: 356-370 [doi]

Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing ArchitectureMahbubun Nahar, A. H. M. Kamal, Md. Rafiul Hassan, Mohammad Ali Moni. algorithms, 15(10):335, 2022. [doi]

EEG-based emotion analysis using non-linear features and ensemble learning approachesMd. Mustafizur Rahman, Ajay Krishno Sarkar, Md. Amzad Hossain, Mohammad Ali Moni. eswa, 207:118025, 2022. [doi]

Identification of glycophorin C as a prognostic marker for human breast cancer using bioinformatic analysisMd. Shahedur Rahman, Polash Kumar Biswas, Subbroto Kumar Saha, Mohammad Ali Moni. netmahib, 11(1):7, 2022. [doi]

Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray ImagesMd. Shahriare Satu, Khair Ahammed, Mohammad Zoynul Abedin, Md. Auhidur Rahman, Sheikh Mohammed Shariful Islam, A. K. M. Azad, Salem A. Alyami, Mohammad Ali Moni. miet 2023: 152-166 [doi]

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learningMd. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin 0004, Arnisha Akhter, Khondokar Fida Hasan, Mohammad Ali Moni. eswa, 205:117695, 2022. [doi]

2021

EEG Channel Correlation Based Model for Emotion RecognitionMd. Rabiul Islam 0007, Md. Milon Islam, Md. Mustafizur Rahman, Chayan Mondal, Suvojit Kumar Singha, Mohiuddin Ahmad, Abdul Awal, Md. Saiful Islam, Mohammad Ali Moni. cbm, 136:104757, 2021. [doi]

Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning TechniquesMd. Rabiul Islam 0007, Mohammad Ali Moni, Md. Milon Islam, Md Rashed-Al-Mahfuz, Md. Saiful Islam 0003, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, Akm Azad, Salem A. Alyami, Md. Atiqur Rahman Ahad, Pietro Lió. access, 9:94601-94624, 2021. [doi]

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray imagesKhabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin 0004, Arnisha Akhter, Bikash Kumar Paul, Mohammad Abu Yousuf, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni. cbm, 139:105014, 2021. [doi]

Lung cancer detection using enhanced segmentation accuracyOnika Akter, Mohammad Ali Moni, Mohammad Mahfuzul Islam, Julian M. W. Quinn, A. H. M. Kamal. apin, 51(6):3391-3404, 2021. [doi]

Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparisonMd Mamun Ali, Bikash Kumar Paul, Kawsar Ahmed, Francis M. Bui, Julian M. W. Quinn, Mohammad Ali Moni. cbm, 136:104672, 2021. [doi]

Machine learning-based statistical analysis for early stage detection of cervical cancerMd Mamun Ali, Kawsar Ahmed, Francis M. Bui, Bikash Kumar Paul, Sobhy M. Ibrahim, Julian M. W. Quinn, Mohammad Ali Moni. cbm, 139:104985, 2021. [doi]

Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19Md Rabiul Auwul, Md. Rezanur Rahman, Esra Gov, Md Shahjaman, Mohammad Ali Moni. bib, 22(5), 2021. [doi]

A Human-Robot Interaction System Calculating Visual Focus of Human's Attention LevelPartha Chakraborty, Sabbir Ahmed, Mohammad Abu Yousuf, Akm Azad, Salem A. Alyami, Mohammad Ali Moni. access, 9:93409-93421, 2021. [doi]

Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistanceKexin Chen, Haoming Xu, Yiming Lei, Pietro Lió, Yuan Li, Hongyan Guo, Mohammad Ali Moni. bib, 22(6), 2021. [doi]

Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infectionUtpala Nanda Chowdhury, Md. Omar Faruqe, Md Mehedy, Shamim Ahmad, M. Babul Islam, Watshara Shoombuatong, A. K. M. Azad, Mohammad Ali Moni. cbm, 138:104891, 2021. [doi]

Attribute Driven Temporal Active Online Community SearchBadhan Chandra Das, Md Musfique Anwar, Md. Al-Amin Bhuiyan, Iqbal H. Sarker, Salem A. Alyami, Mohammad Ali Moni. access, 9:93976-93989, 2021. [doi]

LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT dataNuruzzaman Faruqui, Mohammad Abu Yousuf, Md Whaiduzzaman, A. K. M. Azad, Alistair Barros, Mohammad Ali Moni. cbm, 139:104961, 2021. [doi]

Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancerMd. Jakir Hossain, Utpala Nanda Chowdhury, M. Babul Islam, Shahadat Uddin, Mohammad Boshir Ahmed, Julian M. W. Quinn, Mohammad Ali Moni. cbm, 135:104539, 2021. [doi]

Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature ReviewMd Ekramul Hossain, Arif Khan 0001, Mohammad Ali Moni, Shahadat Uddin. tcbb, 18(2):745-758, 2021. [doi]

C-C Chemokine receptor-like 2 (CCRL2) acts as coreceptor for human immunodeficiency virus-2Salequl Islam, Mohammad Ali Moni, Umme Laila Urmi, Atsushi Tanaka, Hiroo Hoshino. bib, 22(4), July 2021. [doi]

Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetesM. Babul Islam, Utpala Nanda Chowdhury, Zulkar Nain, Shahadat Uddin, Mohammad Boshir Ahmed, Mohammad Ali Moni. cbm, 136:104668, 2021. [doi]

Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipelineMd Nahidul Islam, Norizam Sulaiman, Fahmid Al Farid, Jia Uddin, Salem A. Alyami, Mamunur Rashid, Anwar P. P. Abdul Majeed, Mohammad Ali Moni. peerj-cs, 7, 2021. [doi]

Public health utility of cause of death data: applying empirical algorithms to improve data qualitySarah Charlotte Johnson, Matthew Cunningham, Ilse N. Dippenaar, Fablina Sharara, Eve E. Wool, Kareha M. Agesa, Chieh Han, Molly K. Miller-Petrie, Shadrach Wilson, John E. Fuller, Shelly Balassyano, Gregory J. Bertolacci, Nicole Davis Weaver, Jalal Arabloo, Alaa Badawi, Akshaya Srikanth Bhagavathula, Katrin Burkart, Luis Alberto Cámera, Felix Carvalho, Carlos A. Castañeda-Orjuela, Jee-Young Jasmine Choi, Dinh-Toi Chu, Xiaochen Dai, Mostafa Dianatinasab, Sophia Emmons-Bell, Eduarda Fernandes, Florian Fischer, Ahmad Ghashghaee, Mahaveer Golechha, Simon I. Hay, Khezar Hayat, Nathaniel J. Henry, Ramesh Holla, Mowafa S. Househ, Segun Emmanuel Ibitoye, Maryam Keramati, Ejaz Ahmad Khan, Yun-Jin Kim, Adnan Kisa, Hamidreza Komaki, Ai Koyanagi, Samantha Leigh Larson, Kate E. LeGrand, Xuefeng Liu, Azeem Majeed, Reza Malekzadeh, Bahram Mohajer, Abdollah Mohammadian-Hafshejani, Reza Mohammadpourhodki, Shafiu Mohammed, Farnam Mohebi, Ali H. Mokdad, Mariam Molokhia, Lorenzo Monasta, Mohammad Ali Moni, Muhammad Naveed, Thi Lan Huong Nguyen, Andrew T. Olagunju, Samuel M. Ostroff, Fatemeh Pashazadeh Kan, David M. Pereira, Quang Pham Hai, Salman Rawaf, David Laith Rawaf, Andre M. N. Renzaho, Luca Ronfani, Abdallah M. Samy, Subramanian Senthilkumaran, Sadaf G. Sepanlou, Masood Ali Shaikh, David H. Shaw, Kenji Shibuya, Jasvinder A. Singh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Emma Elizabeth Spurlock, Eyayou Girma Tadesse, Mohamad-Hani Temsah, Marcos Roberto Tovani-Palone, Tran Xuan Bach, Gebiyaw Wudie Tsegaye, Pascual R. Valdez, Prashant M. Vishwanath, Giang Thu Vu, Yasir Waheed, Naohiro Yonemoto, Rafael Lozano, Alan D. Lopez, Christopher J. L. Murray, Mohsen Naghavi. midm, 21(1):175, 2021. [doi]

PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniquesS. M. Hasan Mahmud, Wenyu Chen, Yongsheng Liu, Md. Abdul Awal, Kawsar Ahmed, Md Habibur Rahman, Mohammad Ali Moni. bib, 22(5), 2021. [doi]

SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signalsFazla Rabbi Mashrur, Md. Saiful Islam 0003, Dabasish Kumar Saha, S. M. Riazul Islam, Mohammad Ali Moni. cbm, 134:104532, 2021. [doi]

Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 diseaseMohammad Ali Moni, Julian M. W. Quinn, Nese Sinmaz, Matthew A. Summers. bib, 22(2):1324-1337, 2021. [doi]

Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditionsZulkar Nain, Shital K. Barman, Md Moinuddin Sheam, Shifath Bin Syed, Abdus Samad, Julian M. W. Quinn, Mohammad Minnatul Karim, Mahbubul Kabir Himel, Rajib Kanti Roy, Mohammad Ali Moni, Sudhangshu Kumar Biswas. bib, 22(6), 2021. [doi]

Pathogenetic profiling of COVID-19 and SARS-like virusesZulkar Nain, Humayan Kabir Rana, Pietro Liò, Sheikh Mohammed Shariful Islam, Matthew A. Summers, Mohammad Ali Moni. bib, 22(2):1175-1196, 2021. [doi]

Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbiditiesAsif Nashiry, Shauli Sarmin Sumi, Salequl Islam, Julian M. W. Quinn, Mohammad Ali Moni. bib, 22(2):1387-1401, 2021. [doi]

Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disordersMd Asif Nashiry, Shauli Sarmin Sumi, Mohammad Umer Sharif Shohan, Salem A. Alyami, A. K. M. Azad, Mohammad Ali Moni. bib, 22(6), 2021. [doi]

Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory StudyEmma Nichols, Foad Abd-Allah, Amir Abdoli, Ahmed Abualhasan, Eman Abu-Gharbieh, Ashkan Afshin, Rufus Akinyemi, Fahad Mashhour Alanezi, Vahid Alipour, Amir Almasi-Hashiani, Jalal Arabloo, Amir Ashraf-Ganjouei, Getinet Ayano, Jose L. Ayuso-Mateos, Atif Amin Baig, Maciej Banach, Miguel A. Barboza, Suzanne Lyn Barker-Collo, Bernhard T. Baune, Akshaya Srikanth Bhagavathula, Krittika Bhattacharyya, Ali Bijani, Atanu Biswas, Archith Boloor, Carol Brayne, Hermann Brenner, Katrin Burkart, Sharath Burugina Nagaraja, Felix Carvalho, Luis F. S. Castro-de-Araujo, Ferrán Catalá-López, Ester Cerin, Nicolas Cherbuin, Dinh-Toi Chu, Xiaochen Dai, Antonio Reis de Sá-Junior, Shirin Djalalinia, Abdel Douiri, David Edvardsson, Shaimaa I. El-Jaafary, Sharareh Eskandarieh, Andre Faro, Farshad Farzadfar, Valery Feigin, Seyed-Mohammad Fereshtehnejad, Eduarda Fernandes, Pietro Ferrara, Irina Filip, Florian Fischer, Shilpa Gaidhane, Lucia Galluzzo, Gebreamlak Gebremedhn Gebremeskel, Ahmad Ghashghaee, Alessandro Gialluisi, Elena V. Gnedovskaya, Mahaveer Golechha, Rajeev Gupta, Vladimir Hachinski, Mohammad R. Haider, Teklehaimanot Gereziher Haile, Mohammad Hamiduzzaman, Graeme J. Hankey, Simon I. Hay, Golnaz Heidari, Reza Heidari-Soureshjani, Hung Chak Ho, Mowafa Househ, Bing-Fang Hwang, Licia Iacoviello, Olayinka Stephen Ilesanmi, Irena M. Ilic, Milena D. Ilic, Seyed Sina Naghibi Irvani, Masao Iwagami, Ihoghosa Osamuyi Iyamu, Ravi Prakash Jha, Rizwan Kalani, André Karch, Ayele Semachew Kasa, Yousef S. Khader, Ejaz Ahmad Khan, Mahalaqua Nazli Khatib, Yun-Jin Kim, Sezer Kisa, Adnan Kisa, Mika Kivimäki, Ai Koyanagi, Manasi Kumar, Iván Landires, Savita Lasrado, Bingyu Li, Stephen S. Lim, Xuefeng Liu, Shilpashree Madhava Kunjathur, Azeem Majeed, Preeti Malik, Man Mohan Mehndiratta, Ritesh G. Menezes, Yousef Mohammad, Salahuddin Mohammed, Ali H. Mokdad, Mohammad Ali Moni, Gabriele Nagel, Muhammad Naveed, Vinod C. Nayak, Cuong Tat Nguyen, Thi Lan Huong Nguyen, Virginia Nunez-Samudio, Andrew T. Olagunju, Samuel M. Ostroff, Nikita Otstavnov, Mayowa Owolabi, Fatemeh Pashazadeh Kan, Urvish K. Patel, Michael R. Phillips, Michael A. Piradov, Constance Dimity Pond, Faheem Hyder Pottoo, Sergio I. Prada, Amir Radfar, Fakher Rahim, Juwel Rana, Vahid Rashedi, Salman Rawaf, David Laith Rawaf, Nickolas Reinig, Andre M. N. Renzaho, Nima Rezaei, Aziz Rezapour, Michele Romoli, Gholamreza Roshandel, Perminder S. Sachdev, Amirhossein Sahebkar, Mohammad Ali Sahraian, Mehrnoosh Samaei, Mete Saylan, Feng Sha, Masood Ali Shaikh, Kenji Shibuya, Mika Shigematsu, Jae Il Shin, Rahman Shiri, Diego Augusto Santos Silva, Jasvinder A. Singh, Deepika Singhal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Amin Soheili, Houman Sotoudeh, Emma Elizabeth Spurlock, Cassandra E. I. Szoeke, Rafael Tabarés-Seisdedos, Biruk Wogayehu Taddele, Marcos Roberto Tovani-Palone, Gebiyaw Wudie Tsegaye, Marco Vacante, Narayanaswamy Venketasubramanian, Simone Vidale, Vasily Vlassov, Giang Thu Vu, Yuan-Pang Wang, Jordan Weiss, Abrha Hailay Weldemariam, Ronny Westerman, Anders Wimo, Andrea Sylvia Winkler, Chenkai Wu, Ali Yadollahpour, Metin Yesiltepe, Naohiro Yonemoto, Chuanhua Yu, Mikhail Sergeevich Zastrozhin, Anasthasia Zastrozhina, Zhi-Jiang Zhang, Christopher J. L. Murray, Theo Vos. midm, 21(1):241, 2021. [doi]

Recognition of human emotions using EEG signals: A reviewMd. Mustafizur Rahman, Ajay Krishno Sarkar, Md. Amzad Hossain, Md. Selim Hossain, Md. Rabiul Islam 0009, Md. Biplob Hossain, Julian M. W. Quinn, Mohammad Ali Moni. cbm, 136:104696, 2021. [doi]

Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseasesMd Habibur Rahman, Humayan Kabir Rana, Silong Peng, Md Golam Kibria, Md Zahidul Islam, S. M. Hasan Mahmud, Mohammad Ali Moni. cbm, 138:104859, 2021. [doi]

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progressionMd Habibur Rahman, Humayan Kabir Rana, Silong Peng, Xiyuan Hu, Chen Chen 0036, Julian M. W. Quinn, Mohammad Ali Moni. bib, 22(5), 2021. [doi]

Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseasesMd. Shahriare Satu, Md. Imran Khan, Md. Rezanur Rahman, Koushik Chandra Howlader, Shatabdi Roy, Shuvo Saha Roy, Julian M. W. Quinn, Mohammad Ali Moni. bib, 22(2):1415-1429, 2021. [doi]

COVID-Hero: Machine Learning Based COVID-19 Awareness Enhancement Mobile Game for ChildrenMd. Shahriare Satu, K. Shayekh Ebne Mizan, Syeda Anika Jerin, Md Whaiduzzaman, Alistair Barros, Kawsar Ahmed, Mohammad Ali Moni. aii2 2021: 321-335 [doi]

TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweetsMd. Shahriare Satu, Md. Imran Khan, Mufti Mahmud, Shahadat Uddin, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni. kbs, 226:107126, 2021. [doi]

rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics dataMd Shahjaman, Md. Rezanur Rahman, Tania Islam, Md Rabiul Auwul, Mohammad Ali Moni, Md. Nurul Haque Mollah. cbm, 138:104911, 2021. [doi]

Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patientsTasnimul Alam Taz, Kawsar Ahmed, Bikash Kumar Paul, Md. Kawsar, Nargis Aktar, S. M. Hasan Mahmud, Mohammad Ali Moni. bib, 22(2):1254-1266, 2021. [doi]

Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patientsTasnimul Alam Taz, Kawsar Ahmed, Bikash Kumar Paul, Fahad Ahmed Al-Zahrani, S. M. Hasan Mahmud, Mohammad Ali Moni. bib, 22(2):1451-1465, 2021. [doi]

The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rateShahadat Uddin, Tasadduq Imam, Mohammad Ali Moni. acsw 2021: [doi]

Lung Cancer Prediction Using Curriculum Learning Based Deep Neural NetworksJackson Zhou, Matloob Khushi, Mohammad Ali Moni, Shahadat Uddin, Simon K. Poon. icdh 2021: 11-18 [doi]

2020

2019

Machine Learning-Based Models for Early Stage Detection of Autism Spectrum DisordersTania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni. access, 7:166509-166527, 2019. [doi]

Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortalityMd. Ali Hossain, Sheikh Muhammad Saiful Islam, Julian M. W. Quinn, Fazlul Huq, Mohammad Ali Moni. jbi, 100, 2019. [doi]

Identification of Genetic Links of Thyroid Cancer to the Neurodegenerative and Chronic Diseases Progression: Insights from Systems Biology ApproachMd. Ali Hossain, Sheikh Muhammad Saiful Islam, Tania Akter Asa, Muhammad Sajjad Hussain, Md. Rezanur Rahman, Ahmed Moustafa, Mohammad Ali Moni. IEEEiwcia 2020: 263-274 [doi]

A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissueMohammad Ali Moni, Humayan Kabir Rana, M. Babul Islam, Mohammad Boshir Ahmed, Haoming Xu, Md. Al Mehedi Hasan, Yiming Lei, Julian M. W. Quinn. cbm, 113, 2019. [doi]

A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown NoiseMd. Shahin Munsi, Abu Bakar Siddique, Sajal K. Das 0002, Sanjoy Kumar Paul, Md. Rabiul Islam 0001, Mohammad Ali Moni. access, 7:161975-161995, 2019. [doi]

Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's diseaseMd. Rezanur Rahman, Tania Islam, Beste Turanli, Toyfiquz Zaman, Hossain Md. Faruquee, Md. Mafizur Rahman, Md. Nurul Haque Mollah, Ranjan Kumar Nanda, Kazim Yalçin Arga, Esra Gov, Mohammad Ali Moni. CANDC, 78:431-439, 2019. [doi]

Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological ComorbiditiesMd Habibur Rahman, Silong Peng, Xiyuan Hu, Chen Chen 0036, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni. access, 7:183948-183970, 2019. [doi]

A fast iris recognition system through optimum feature extractionHumayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian Quinn, Mohammad Ali Moni. peerjpre, 7, 2019. [doi]

A fast iris recognition system through optimum feature extractionHumayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian Quinn, Mohammad Ali Moni. peerj-cs, 5, 2019. [doi]

Genetic effects of welding fumes on the development of respiratory system diseasesHumayan Kabir Rana, Mst. Rashida Akhtar, M. Babul Islam, Mohammad Boshir Ahmed, Pietro Liò, Julian Quinn, Fazlul Huq, Mohammad Ali Moni. cbm, 108:142-149, 2019. [doi]

A Novel Hybrid Machine Learning Model to Predict Diabetes MellitusMd. Shahriare Satu, Syeda Tanjila Atik, Mohammad Ali Moni. IEEEiwcia 2020: 453-465 [doi]

Comparing different supervised machine learning algorithms for disease predictionShahadat Uddin, Arif Khan 0001, Md Ekramul Hossain, Mohammad Ali Moni. midm, 19(1):281, 2019. [doi]

2018

A Network-Based Approach to Identify Molecular Signatures and Comorbidities of Thyroid CancerMd. Ali Hossain, Tania Akter Asa, Fazlul Huq, Julian M. W. Quinn, Mohammad Ali Moni. IEEEiwcia 2020: 235-246 [doi]

A fast Iris recognition system through optimum feature extractionHumayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian Quinn, Mohammad Ali Moni. peerjpre, 6, 2018. [doi]

2015

Clinical bioinformatics and computational modelling for disease comorbidities diagnosisMohammad Ali Moni. PhD thesis, University of Cambridge, UK, 2015. [doi]

CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networksMohammad Ali Moni, Haoming Xu, Pietro Liò. bioinformatics, 31(6):969-971, 2015. [doi]

Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancerHaoming Xu, Mohammad Ali Moni, Pietro Liò. CANDC, 59:15-31, 2015. [doi]

2014

comoR: a software for disease comorbidity risk assessmentMohammad Ali Moni, Pietro Liò. jclinbioinf, 4:8, 2014. [doi]

Network-based analysis of comorbidities risk during an infection: SARS and HIV case studiesMohammad Ali Moni, Pietro Liò. bmcbi, 15:333, 2014. [doi]

2013

Comparing Viral (HIV) and Bacterial (Staphylococcus aureus) Infection of the Bone TissueMohammad Ali Moni, Pietro Liò, Luciano Milanesi. biostec 2013: 196-201

2012

Modelling osteomyelitisPietro Liò, Nicola Paoletti, Mohammad Ali Moni, Kathryn Atwell, Emanuela Merelli, Marco Viceconti. bmcbi, 13(S-14), 2012. [doi]

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