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2020 – today
- 2024
[j90]Roksana Akter Raisa
, Ayesha Siddika Rodela, Mohammad Abu Yousuf, A. K. M. Azad, Salem A. Alyami, Pietro Liò, Md Zahidul Islam, Ganna Pogrebna, Mohammad Ali Moni:
Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study. IEEE Access 12: 122959-122987 (2024)- [j89]Md. Shofiqul Islam, Muhammad Nomani Kabir, Ngahzaifa Ab Ghani, Kamal Zuhairi Zamli, Nor Saradatul Akmar Zulkifli, Md. Mustafizur Rahman, Mohammad Ali Moni:
"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach". Artif. Intell. Rev. 57(3): 62 (2024) - [j88]Atika Akter, Nazeela Nosheen, Sabbir Ahmed, Mariom Hossain, Mohammad Abu Yousuf, Mohammad Ali Abdullah Almoyad, Khondokar Fida Hasan, Mohammad Ali Moni:
Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor. Expert Syst. Appl. 238(Part F): 122347 (2024) - [j87]Nasirul Mumenin, Mohammad Abu Yousuf, Md Asif Nashiry, A. K. M. Azad, Salem A. Alyami, Pietro Lio', Mohammad Ali Moni:
ASDNet: A robust involution-based architecture for diagnosis of autism spectrum disorder utilising eye-tracking technology. IET Comput. Vis. 18(5): 666-681 (2024) - [j86]Abu Sayeed, Nasif Osman Khansur, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Salem A. Alyami, A. K. M. Azad, Mohammad Ali Moni:
An effective screening of COVID-19 pneumonia by employing chest X-ray segmentation and attention-based ensembled classification. IET Image Process. 18(9): 2400-2416 (2024) - [j85]Nurjahan, Md. Mahbub-Or-Rashid, Md. Shahriare Satu, Sanjana Ruhani Tammim, Farhana Akter Sunny, Mohammad Ali Moni:
Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review. Iran J. Comput. Sci. 7(3): 699-721 (2024) - [j84]Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Khondokar Fida Hasan, Selina Sharmin, Salem A. Alyami, Mohammad Ali Moni:
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction. J. Big Data 11(1): 33 (2024) - [j83]Ananda Sutradhar, Mustahsin Al Rafi, Pronab Ghosh, F. M. Javed Mehedi Shamrat, Md. Moniruzzaman, Kawsar Ahmed, A. K. M. Azad, Francis M. Bui, Li Chen, Mohammad Ali Moni:
An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes. IEEE Trans. Artif. Intell. 5(6): 2840-2855 (2024) - [j82]Md. Wahidur Rahman, Muhammad Minoar Hossain, Md. Mahedi Hasan, Md. Sadiq Iqbal, Mohammad Motiur Rahman, Khondokar Fida Hasan, Mohammad Ali Moni:
Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain. IEEE Trans. Artif. Intell. 5(9): 4787-4798 (2024) - [j81]Israq Ahmed Anik, A. H. M. Kamal, Muhammad Ashad Kabir, Shahadat Uddin, Mohammad Ali Moni:
A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals. IEEE Trans. Artif. Intell. 5(10): 4938-4947 (2024) - [i11]Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Khondokar Fida Hasan, Selina Sharmin, Salem A. Alyami, Mohammad Ali Moni:
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction. CoRR abs/2401.12262 (2024) - [i10]Abanti Bhattacharjya, Manowarul Islam, Md. Ashraf Uddin, Md. Alamin Talukder, A. K. M. Azad, Sunil Aryal, Bikash Kumar Paul, Wahia Tasnim, Muhammad Ali Abdulllah Almoyad, Mohammad Ali Moni:
Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma. CoRR abs/2402.17807 (2024) - 2023
- [j80]Showmick Guha Paul, Arpa Saha, Mohammad Shamsul Arefin, Touhid Bhuiyan, Al Amin Biswas, Ahmed Wasif Reza, Naif Mohammed Alotaibi, Salem A. Alyami, Mohammad Ali Moni:
A Comprehensive Review of Green Computing: Past, Present, and Future Research. IEEE Access 11: 87445-87494 (2023) - [j79]Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md. Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong:
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine 152: 106368 (2023) - [j78]Md Arju Hossain, Md. Habibur Rahman, Habiba Sultana, Asif Ahsan, Saiful Islam Rayhan, Md Imran Hasan, Md. Sohel, Pratul Dipta Somadder, Mohammad Ali Moni:
An integrated in-silico Pharmaco-BioInformatics approaches to identify synergistic effects of COVID-19 to HIV patients. Comput. Biol. Medicine 155: 106656 (2023) - [j77]Md. Ali Hossain, Tania Akter Asa, Md Rabiul Auwul, Md. Aktaruzzaman, Md. Mahfizur Rahman, M. Zahidur Rahman, Mohammad Ali Moni:
The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cells. Comput. Biol. Medicine 159: 106885 (2023) - [j76]Md. Mahmodul Hasan, Muhammad Minoar Hossain, Mohammad Motiur Rahman, A. K. M. Azad, Salem A. Alyami, Mohammad Ali Moni:
FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI. Comput. Biol. Medicine 165: 107407 (2023) - [j75]Md. Jamal Uddin, Md. Martuza Ahamad, Prodip Kumar Sarker, Sakifa Aktar, Naif Mohammed Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni:
An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder. Comput. 12(5): 92 (2023) - [j74]Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Abu Yousuf, Shahadat Uddin, Salem A. Alyami, Khondokar Fida Hasan, Mohammad Ali Moni:
GRU-INC: An inception-attention based approach using GRU for human activity recognition. Expert Syst. Appl. 216: 119419 (2023) - [j73]Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Md. Alamgir Jalil Pramanik, Sunil Aryal, Muhammad Ali Abdulllah Almoyad, Khondokar Fida Hasan, Mohammad Ali Moni:
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. Expert Syst. Appl. 230: 120534 (2023) - [j72]Md. Masud Rana, Md. Manowarul Islam, Md. Alamin Talukder, Md. Ashraf Uddin, Sunil Aryal, Naif Mohammed Alotaibi, Salem A. Alyami, Khondokar Fida Hasan, Mohammad Ali Moni:
A robust and clinically applicable deep learning model for early detection of Alzheimer's. IET Image Process. 17(14): 3959-3975 (2023) - [j71]Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, Md. Abul Ala Walid, Sakifa Aktar, Naif Mohammed Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni:
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh. Inf. 14(7): 376 (2023) - [j70]Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, Ashraf Uddin, Arnisha Akhter, Mohammad Abu Yousuf, Fares Alharbi, Mohammad Ali Moni:
A dependable hybrid machine learning model for network intrusion detection. J. Inf. Secur. Appl. 72: 103405 (2023) - [j69]Tania Islam, Md. Rezanur Rahman, Asaduzzaman Khan, Mohammad Ali Moni:
Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke. J. Biomed. Informatics 141: 104345 (2023) - [j68]Anjir Ahmed Chowdhury, S. M. Hasan Mahmud, Khadija Kubra Shahjalal Hoque, Kawsar Ahmed, Francis M. Bui, Pietro Lio, Mohammad Ali Moni, Fahad Ahmed Al-Zahrani:
StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101647 (2023) - [j67]Md. Monirul Islam, Mohammod Abul Kashem, Salem A. Alyami, Mohammad Ali Moni:
Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival. Microprocess. Microsystems 102: 104930 (2023) - [j66]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni:
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 (2023) - [c12]Debashis Gupta, Aditi Golder, Md Mahfuzul Haque, Mohammad Ali Moni:
CervixMed: Detecting Cervical Cancer based on combinational data using Hybrid architecture. DICTA 2023: 570-577 - [e2]Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin:
Machine Intelligence and Emerging Technologies - First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 490, Springer 2023, ISBN 978-3-031-34618-7 [contents] - [e1]Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin:
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 491, Springer 2023, ISBN 978-3-031-34621-7 [contents] - [i9]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Liò, Julian M. W. Quinn, Mohammad Ali Moni:
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. CoRR abs/2303.06020 (2023) - [i8]Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Md. Alamgir Jalil Pramanik, Sunil Aryal, Muhammad Ali Abdulllah Almoyad, Khondokar Fida Hasan, Mohammad Ali Moni:
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. CoRR abs/2305.12844 (2023) - 2022
- [j65]Mousumi Bala, Mohammad Hanif Ali, Md. Shahriare Satu, Khondokar Fida Hasan, Mohammad Ali Moni:
Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder. Algorithms 15(5): 166 (2022) - [j64]Md. Monirul Islam, Md. Belal Hossain, Md. Nasim Akhtar, Mohammad Ali Moni, Khondokar Fida Hasan:
CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete Crack. Algorithms 15(8): 287 (2022) - [j63]Mahbubun Nahar, A. H. M. Kamal, Md. Rafiul Hassan, Mohammad Ali Moni:
Novel Algorithm for Multi-Time Data Implantation in a Special Cyber-Manufacturing Architecture. Algorithms 15(10): 335 (2022) - [j62]Haohui Lu, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni, Matloob Khushi:
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. Appl. Intell. 52(3): 2411-2422 (2022) - [j61]Md. Faruk Hosen, S. M. Hasan Mahmud, Kawsar Ahmed, Wenyu Chen, Mohammad Ali Moni, Hong-Wen Deng, Watshara Shoombuatong, Md. Mehedi Hasan:
DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins. Comput. Biol. Medicine 145: 105433 (2022) - [j60]Nahid Ferdous Aurna, Mohammad Abu Yousuf, Kazi Abu Taher, A. K. M. Azad, Mohammad Ali Moni:
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models. Comput. Biol. Medicine 146: 105539 (2022) - [j59]Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong:
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Comput. Biol. Medicine 146: 105704 (2022) - [j58]Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong:
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput. Biol. Medicine 148: 105700 (2022) - [j57]Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Khondokar Fida Hasan, Mohammad Ali Moni:
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning. Expert Syst. Appl. 205: 117695 (2022) - [j56]Md. Mustafizur Rahman, Ajay Krishno Sarkar, Md. Amzad Hossain, Mohammad Ali Moni:
EEG-based emotion analysis using non-linear features and ensemble learning approaches. Expert Syst. Appl. 207: 118025 (2022) - [j55]Linta Islam, Md. Rafiqul Islam, Shanjita Akter, Md Zobaer Hasan, Mohammad Ali Moni, Mohammed Nasir Uddin:
Identifying Heterogeneity of Diabetics Mellitus Based on the Demographical and Clinical Characteristics. Hum. Centric Intell. Syst. 2(1-2): 44-54 (2022) - [j54]Koushik Chandra Howlader, Md. Shahriare Satu, Md. Abdul Awal, Md. Rabiul Islam, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Mohammad Ali Moni:
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. Health Inf. Sci. Syst. 10(1): 2 (2022) - [j53]Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong:
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. J. Comput. Aided Mol. Des. 36(11): 781-796 (2022) - [j52]Md. Shahedur Rahman, Polash Kumar Biswas, Subbroto Kumar Saha, Mohammad Ali Moni:
Identification of glycophorin C as a prognostic marker for human breast cancer using bioinformatic analysis. Netw. Model. Anal. Health Informatics Bioinform. 11(1): 7 (2022) - [c11]Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni:
Predictive risk modelling in mental health issues using machine learning on graphs. ACSW 2022: 168-175 - [c10]Mufti Mahmud, M. Shamim Kaiser, Muhammad Arifur Rahman, Tanu Wadhera, David J. Brown, 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:
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder. HCI (8) 2022: 356-370 - [c9]Md. Shahriare Satu, Khair Ahammed, Mohammad Zoynul Abedin, Md. Auhidur Rahman, Sheikh Mohammed Shariful Islam, A. K. M. Azad, Salem A. Alyami, Mohammad Ali Moni:
Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images. MIET (1) 2022: 152-166 - [i7]Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Khondokar Fida Hasan, Mohammad Ali Moni:
Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning. CoRR abs/2206.01088 (2022) - [i6]Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Mohammad Abu Yousuf, Fares Alharbi, Mohammad Ali Moni:
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection. CoRR abs/2212.04546 (2022) - 2021
- [j51]Partha Chakraborty, Sabbir Ahmed, Mohammad Abu Yousuf, A. K. M. Azad, Salem A. Alyami, Mohammad Ali Moni:
A Human-Robot Interaction System Calculating Visual Focus of Human's Attention Level. IEEE Access 9: 93409-93421 (2021) - [j50]Badhan Chandra Das, Md Musfique Anwar, Md. Al-Amin Bhuiyan, Iqbal H. Sarker, Salem A. Alyami, Mohammad Ali Moni:
Attribute Driven Temporal Active Online Community Search. IEEE Access 9: 93976-93989 (2021) - [j49]Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, Md Rashed-Al-Mahfuz, Md. Saiful Islam, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, A. K. M. Azad, Salem A. Alyami, Md. Atiqur Rahman Ahad, Pietro Lió:
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access 9: 94601-94624 (2021) - [j48]Onika Akter, Mohammad Ali Moni, Mohammad Mahfuzul Islam, Julian M. W. Quinn, A. H. M. Kamal:
Lung cancer detection using enhanced segmentation accuracy. Appl. Intell. 51(6): 3391-3404 (2021) - [j47]Zulkar Nain, Humayan Kabir Rana, Pietro Liò, Sheikh Mohammed Shariful Islam, Matthew A. Summers, Mohammad Ali Moni:
Pathogenetic profiling of COVID-19 and SARS-like viruses. Briefings Bioinform. 22(2): 1175-1196 (2021) - [j46]Tasnimul Alam Taz, Kawsar Ahmed, Bikash Kumar Paul, Md. Kawsar, Nargis Aktar, S. M. Hasan Mahmud, Mohammad Ali Moni:
Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients. Briefings Bioinform. 22(2): 1254-1266 (2021) - [j45]Mohammad Ali Moni, Julian M. W. Quinn, Nese Sinmaz, Matthew A. Summers:
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 disease. Briefings Bioinform. 22(2): 1324-1337 (2021) - [j44]Asif Nashiry, Shauli Sarmin Sumi, Salequl Islam, Julian M. W. Quinn, Mohammad Ali Moni:
Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities. Briefings Bioinform. 22(2): 1387-1401 (2021) - [j43]Md. Shahriare Satu, Md. Imran Khan, Md. Rezanur Rahman, Koushik Chandra Howlader, Shatabdi Roy, Shuvo Saha Roy, Julian M. W. Quinn, Mohammad Ali Moni:
Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases. Briefings Bioinform. 22(2): 1415-1429 (2021) - [j42]Tasnimul Alam Taz, Kawsar Ahmed, Bikash Kumar Paul, Fahad Ahmed Al-Zahrani, S. M. Hasan Mahmud, Mohammad Ali Moni:
Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients. Briefings Bioinform. 22(2): 1451-1465 (2021) - [j41]Salequl Islam, Mohammad Ali Moni, Umme Laila Urmi, Atsushi Tanaka, Hiroo Hoshino:
C-C Chemokine receptor-like 2 (CCRL2) acts as coreceptor for human immunodeficiency virus-2. Briefings Bioinform. 22(4) (2021) - [j40]Md Rabiul Auwul, Md. Rezanur Rahman, Esra Gov, Md Shahjaman, Mohammad Ali Moni:
Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19. Briefings Bioinform. 22(5) (2021) - [j39]S. M. Hasan Mahmud, Wenyu Chen, Yongsheng Liu, Md. Abdul Awal, Kawsar Ahmed, Md. Habibur Rahman, Mohammad Ali Moni:
PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques. Briefings Bioinform. 22(5) (2021) - [j38]Md. Habibur Rahman, Humayan Kabir Rana, Silong Peng, Xiyuan Hu, Chen Chen, Julian M. W. Quinn, Mohammad Ali Moni:
Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression. Briefings Bioinform. 22(5) (2021) - [j37]Kexin Chen, Haoming Xu, Yiming Lei, Pietro Lió, Yuan Li, Hongyan Guo, Mohammad Ali Moni:
Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance. Briefings Bioinform. 22(6) (2021) - [j36]Zulkar 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:
Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions. Briefings Bioinform. 22(6) (2021) - [j35]Md Asif Nashiry, Shauli Sarmin Sumi, Mohammad Umer Sharif Shohan, Salem A. Alyami, A. K. M. Azad, Mohammad Ali Moni:
Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders. Briefings Bioinform. 22(6) (2021) - [j34]Fazla Rabbi Mashrur, Md. Saiful Islam, Dabasish Kumar Saha, S. M. Riazul Islam, Mohammad Ali Moni:
SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals. Comput. Biol. Medicine 134: 104532 (2021) - [j33]Md. Jakir Hossain, Utpala Nanda Chowdhury, M. Babul Islam, Shahadat Uddin, Mohammad Boshir Ahmed, Julian M. W. Quinn, Mohammad Ali Moni:
Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. Comput. Biol. Medicine 135: 104539 (2021) - [j32]M. Babul Islam, Utpala Nanda Chowdhury, Zulkar Nain, Shahadat Uddin, Mohammad Boshir Ahmed, Mohammad Ali Moni:
Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Comput. Biol. Medicine 136: 104668 (2021) - [j31]Md Mamun Ali, Bikash Kumar Paul, Kawsar Ahmed, Francis M. Bui, Julian M. W. Quinn, Mohammad Ali Moni:
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison. Comput. Biol. Medicine 136: 104672 (2021) - [j30]Md. Mustafizur Rahman, Ajay Krishno Sarkar, Md. Amzad Hossain, Md. Selim Hossain, Md. Rabiul Islam, Md. Biplob Hossain, Julian M. W. Quinn, Mohammad Ali Moni:
Recognition of human emotions using EEG signals: A review. Comput. Biol. Medicine 136: 104696 (2021) - [j29]Md. Rabiul Islam, Md. Milon Islam, Md. Mustafizur Rahman, Chayan Mondal, Suvojit Kumar Singha, Mohiuddin Ahmad, Md. Abdul Awal, Md. Saiful Islam, Mohammad Ali Moni:
EEG Channel Correlation Based Model for Emotion Recognition. Comput. Biol. Medicine 136: 104757 (2021) - [j28]Md. Habibur Rahman, Humayan Kabir Rana, Silong Peng, Md Golam Kibria, Md Zahidul Islam, S. M. Hasan Mahmud, Mohammad Ali Moni:
Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases. Comput. Biol. Medicine 138: 104859 (2021) - [j27]Utpala Nanda Chowdhury, Md. Omar Faruqe, Md Mehedy, Shamim Ahmad, M. Babul Islam, Watshara Shoombuatong, A. K. M. Azad, Mohammad Ali Moni:
Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection. Comput. Biol. Medicine 138: 104891 (2021) - [j26]Md Shahjaman, Md. Rezanur Rahman, Tania Islam, Md Rabiul Auwul, Mohammad Ali Moni, Md. Nurul Haque Mollah:
rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data. Comput. Biol. Medicine 138: 104911 (2021) - [j25]Nuruzzaman Faruqui, Mohammad Abu Yousuf, Md Whaiduzzaman, A. K. M. Azad, Alistair Barros, Mohammad Ali Moni:
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data. Comput. Biol. Medicine 139: 104961 (2021) - [j24]Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, Bikash Kumar Paul, Sobhy M. Ibrahim, Julian M. W. Quinn, Mohammad Ali Moni:
Machine learning-based statistical analysis for early stage detection of cervical cancer. Comput. Biol. Medicine 139: 104985 (2021) - [j23]Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter, Bikash Kumar Paul, Mohammad Abu Yousuf, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni:
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Comput. Biol. Medicine 139: 105014 (2021) - [j22]Md. Shahriare Satu, Md. Imran Khan, Mufti Mahmud, Shahadat Uddin, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni:
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowl. Based Syst. 226: 107126 (2021) - [j21]Sarah 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:
Public health utility of cause of death data: applying empirical algorithms to improve data quality. BMC Medical Informatics Decis. Mak. 21(1): 175 (2021) - [j20]Emma 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, José Luis 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 S. 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:
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 Study. BMC Medical Informatics Decis. Mak. 21(1): 241 (2021) - [j19]Md Nahidul Islam, Norizam Sulaiman, Fahmid Al Farid, Jia Uddin, Salem A. Alyami, Mamunur Rashid, Anwar P. P. Abdul Majeed, Mohammad Ali Moni:
Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline. PeerJ Comput. Sci. 7: e638 (2021) - [j18]Md Ekramul Hossain, Arif Khan, Mohammad Ali Moni, Shahadat Uddin:
Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 745-758 (2021) - [c8]Shahadat Uddin, Tasadduq Imam, Mohammad Ali Moni:
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 rate. ACSW 2021: 16:1-16:8 - [c7]Md. Shahriare Satu, K. Shayekh Ebne Mizan, Syeda Anika Jerin, Md Whaiduzzaman, Alistair Barros, Kawsar Ahmed, Mohammad Ali Moni:
COVID-Hero: Machine Learning Based COVID-19 Awareness Enhancement Mobile Game for Children. AII 2021: 321-335 - [c6]Jackson Zhou, Matloob Khushi, Mohammad Ali Moni, Shahadat Uddin, Simon K. Poon:
Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks. ICDH 2021: 11-18 - [i5]Khandaker Tayef Shahriar, Iqbal H. Sarker, Muhammad Nazrul Islam, Mohammad Ali Moni:
A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets. CoRR abs/2109.02462 (2021) - 2020
- [j17]Mohammad Ali Moni, M. Babul Islam, Md. Rezanur Rahman, Md Rashed-Al-Mahfuz, Md. Abdul Awal, Sheikh Mohammed Shariful Islam, Md. Nurul Haque Mollah, Julian M. W. Quinn:
Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints. IEEE Access 8: 1486-1497 (2020) - [j16]Md. Parvez Mosharaf, Md. Mehedi Hasan, Fee Faysal Ahmed, Mst. Shamima Khatun, Mohammad Ali Moni, Md. Nurul Haque Mollah:
Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana. Comput. Biol. Chem. 85: 107238 (2020) - [j15]Md. Martuza Ahamad, Sakifa Aktar, Md Rashed-Al-Mahfuz, Shahadat Uddin, Pietro Liò, Haoming Xu, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni:
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Syst. Appl. 160: 113661 (2020) - [i4]Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad, A. H. M. Kamal, Jahidur Rahman Khan, Md. Protikuzzaman, Nasif Hossain, Julian M. W. Quinn, Matthew A. Summers, Teng Liaw, Valsamma Eapen, Mohammad Ali Moni:
Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19. CoRR abs/2008.12683 (2020) - [i3]Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni:
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. CoRR abs/2011.10657 (2020)
2010 – 2019
- 2019
- [j14]Md. Shahin Munsi, Abu Bakar Siddique, Sajal K. Das, Sanjoy Kumar Paul, Md. Rabiul Islam, Mohammad Ali Moni:
A Novel Blended State Estimated Adaptive Controller for Voltage and Current Control of Microgrid Against Unknown Noise. IEEE Access 7: 161975-161995 (2019) - [j13]Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni:
Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access 7: 166509-166527 (2019) - [j12]Md. Habibur Rahman, Silong Peng, Xiyuan Hu, Chen Chen, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni:
Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities. IEEE Access 7: 183948-183970 (2019) - [j11]Md. 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:
Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease. Comput. Biol. Chem. 78: 431-439 (2019) - [j10]Humayan Kabir Rana, Mst. Rashida Akhtar, M. Babul Islam, Mohammad Boshir Ahmed, Pietro Liò, Julian M. W. Quinn, Fazlul Huq, Mohammad Ali Moni:
Genetic effects of welding fumes on the development of respiratory system diseases. Comput. Biol. Medicine 108: 142-149 (2019) - [j9]Mohammad Ali Moni, Humayan Kabir Rana, M. Babul Islam, Mohammad Boshir Ahmed, Haoming Xu, Md. Al Mehedi Hasan, Yiming Lei, Julian M. W. Quinn:
A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue. Comput. Biol. Medicine 113 (2019) - [j8]Md. Ali Hossain, Sheikh Muhammad Saiful Islam, Julian M. W. Quinn, Fazlul Huq, Mohammad Ali Moni:
Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality. J. Biomed. Informatics 100 (2019) - [j7]Shahadat Uddin, Arif Khan, Md Ekramul Hossain, Mohammad Ali Moni:
Comparing different supervised machine learning algorithms for disease prediction. BMC Medical Informatics Decis. Mak. 19(1): 281 (2019) - [j6]Humayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian M. W. Quinn, Mohammad Ali Moni:
A fast iris recognition system through optimum feature extraction. PeerJ Comput. Sci. 5: e184 (2019) - [c5]Md. Ali Hossain, Sheikh Muhammad Saiful Islam, Tania Akter Asa, Muhammad Sajjad Hussain, Md. Rezanur Rahman, Ahmed Moustafa, Mohammad Ali Moni:
Identification of Genetic Links of Thyroid Cancer to the Neurodegenerative and Chronic Diseases Progression: Insights from Systems Biology Approach. IJCCI 2019: 263-274 - [c4]Md. Shahriare Satu, Syeda Tanjila Atik, Mohammad Ali Moni:
A Novel Hybrid Machine Learning Model to Predict Diabetes Mellitus. IJCCI 2019: 453-465 - [i2]Humayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian M. W. Quinn, Mohammad Ali Moni:
A fast iris recognition system through optimum feature extraction. PeerJ Prepr. 7: e27363 (2019) - 2018
- [c3]Md. Ali Hossain, Tania Akter Asa, Fazlul Huq, Julian M. W. Quinn, Mohammad Ali Moni:
A Network-Based Approach to Identify Molecular Signatures and Comorbidities of Thyroid Cancer. IJCCI 2018: 235-246 - [i1]Humayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian M. W. Quinn, Mohammad Ali Moni:
A fast Iris recognition system through optimum feature extraction. PeerJ Prepr. 6: e27363 (2018) - 2015
- [b1]Mohammad Ali Moni:
Clinical bioinformatics and computational modelling for disease comorbidities diagnosis. University of Cambridge, UK, 2015 - [j5]Mohammad Ali Moni, Haoming Xu, Pietro Liò:
CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks. Bioinform. 31(6): 969-971 (2015) - [j4]Haoming Xu, Mohammad Ali Moni, Pietro Liò:
Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer. Comput. Biol. Chem. 59: 15-31 (2015) - 2014
- [j3]Mohammad Ali Moni, Pietro Liò:
Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies. BMC Bioinform. 15: 333 (2014) - [j2]Mohammad Ali Moni, Pietro Liò:
comoR: a software for disease comorbidity risk assessment. J. Clin. Bioinform. 4: 8 (2014) - 2013
- [c2]Mohammad Ali Moni, Pietro Liò, Luciano Milanesi:
Comparing Viral (HIV) and Bacterial (Staphylococcus aureus) Infection of the Bone Tissue. BIOINFORMATICS 2013: 196-201 - 2012
- [j1]Pietro Liò, Nicola Paoletti, Mohammad Ali Moni, Kathryn Atwell, Emanuela Merelli, Marco Viceconti:
Modelling osteomyelitis. BMC Bioinform. 13(S-14): S12 (2012)
2000 – 2009
- 2009
- [c1]Mohammad Ali Moni, A. B. M. Shawkat Ali:
Object Identification Based on Deformable Templates and Genetic Algorithms. BIFE 2009: 114-117
Coauthor Index
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