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2026 Journal Article An explainable deep learning model for mulberry leaf classification and disease detectionNobel, S.M. Nuruzzaman, Tasir, Md All Moon, Sultana, Shirin, Al-Moisheer, Asmaa Soliman and Moni, Mohammad Ali (2026). An explainable deep learning model for mulberry leaf classification and disease detection. Engineering Applications of Artificial Intelligence, 165 113470, 113470. doi: 10.1016/j.engappai.2025.113470 |
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2026 Journal Article Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosisAl Sakib, Abdullah, Swapno, SM. Masfequier Rahman, Ahamed, Fahim, Mohiuddin, Arafath Bin, Bhuiyan, Md Imranul Hoque, Khan, Shakil, Khushbu, Katura Gania, Haque, Rezaul, Alahmadi, Tahani Jaser and Moni, Mohammad Ali (2026). Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosis. DIGITAL HEALTH, 12 20552076261438923, 20552076261438923-12. doi: 10.1177/20552076261438923 |
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2026 Journal Article A novel stacking based classifier for the identification of antifreeze protein using latent semantic analysisRahman, Ashikur, Abdulrazak, Lway Faisal, Ali, Mamun, Ahmed, Kawsar, Bui, Francis M., Chen, Li, Mahmud, Imran, Bhuiyan, Touhid and Moni, Mohammad Ali (2026). A novel stacking based classifier for the identification of antifreeze protein using latent semantic analysis. Intelligent Medicine, 6 (1), 69-80. doi: 10.1016/j.imed.2025.03.003 |
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2026 Journal Article Deep ensemble of multi-head attention CNNs for histopathological image-based of lung and colon cancer diagnosisRahman, A. K. Z Rasel, Swapno, S M Masfequier Rahman, Raha, Avi Deb, Biswas, Sujit, Khan, Shakil, Khushbu, Katura Gania, Reza, Ahmed Wasif, Bairagi, Anupam Kumar, Aloteibi, Saad and Moni, Mohammad Ali (2026). Deep ensemble of multi-head attention CNNs for histopathological image-based of lung and colon cancer diagnosis. DIGITAL HEALTH, 12 20552076261444271. doi: 10.1177/20552076261444271 |
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2026 Journal Article Securing the Unseen: A Comprehensive Exploration Review of <scp>AI</scp> ‐Powered Models for Zero‐Day Attack DetectionAl Siam, Abdullah, Faruqui, Nuruzzaman, Azad, Akm and Moni, Mohammad Ali (2026). Securing the Unseen: A Comprehensive Exploration Review of AI ‐Powered Models for Zero‐Day Attack Detection. Expert Systems, 43 (3) e70217. doi: 10.1111/exsy.70217 |
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2026 Journal Article Leveraging explainable AI for sustainable agriculture: a comprehensive review of recent advancesRajbongshi, Aditya, Johora, Fatema Tuz, Hossain, Arafat, Sarker, Md. Salauddin, Rahman, Md Habibur, Rahman, Md Wahidur, Alotaibi, Fahad T. and Moni, Mohammad Ali (2026). Leveraging explainable AI for sustainable agriculture: a comprehensive review of recent advances. Artificial Intelligence Review, 59 (3) 105, 1-46. doi: 10.1007/s10462-025-11459-5 |
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2026 Journal Article A comparative study of machine learning models for identification of antiviral peptides using various encoded featuresHasan, Md. Zahid, Shakil, Md. Shahriar, Karim, Tasmin, Shaon, Md. Shazzad Hossain, Sultan, Md. Fahim, Rupa, Fatema Hashem, Almoyad, Muhammad Ali Abdullah, Rahman, Md. Tanvir, Khan, Risala Tasin, Kaiser, M. Shamim and Moni, Mohammad Ali (2026). A comparative study of machine learning models for identification of antiviral peptides using various encoded features. IEEE Transactions on Computational Biology and Bioinformatics, PP (99), 1-14. doi: 10.1109/tcbbio.2026.3654071 |
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2026 Journal Article Unraveling risk factors and transcriptomic signatures in liver cancer progression and mortality through machine learning and bioinformaticsAsa, Tania Akter, Hossain, Md Ali, Ali, Md Shahjahan, Mahmud, Md Zulfiker, Azad, A. K. M., Rahman, Mohammad Zahidur and Moni, Mohammad Ali (2026). Unraveling risk factors and transcriptomic signatures in liver cancer progression and mortality through machine learning and bioinformatics. Briefings in Functional Genomics, 25 elaf019, 1-17. doi: 10.1093/bfgp/elaf019 |
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2026 Journal Article Deep3BPP: identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTMRahman, Md. Ashikur, Ali, Md Mamun, Ahmed, Kawsar, Mahmud, Imran, Bui, Francis M., Chen, Li and Moni, Mohammad Ali (2026). Deep3BPP: identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTM. IEEE Transactions on Artificial Intelligence, 7 (1), 562-570. doi: 10.1109/tai.2025.3567434 |
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2026 Book Chapter A multi-branch CNN-LSTM based human activity recognition using wearable and smartphone sensorsKhatun, Mst. Alema, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2026). A multi-branch CNN-LSTM based human activity recognition using wearable and smartphone sensors. Intelligent networks and systems: advanced technologies and applications. (pp. 27-39) Boca Raton, FL, U.S.A.: CRC Press. doi: 10.1201/9781032659770-3 |
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2026 Journal Article Prevention and management of heart failure associated with type 2 diabetics in rural AustraliaRoss, Allen G., Mondal, Utpal K., Mahmood, Shakeel, Astawesegn, Feleke H., Anyasodor, Anayochukwu E., Huda, M. Mamun, Thapa, Subash, Aychiluhm, Setognal B., Giri, Santosh, Rahman, Md. Ferdous, Shiddiky, Muhammad J. A., Moni, Mohammad Ali and Ahmed, Kedir Y. (2026). Prevention and management of heart failure associated with type 2 diabetics in rural Australia. Journal of Clinical Medicine, 15 (1) 304, 1-14. doi: 10.3390/jcm15010304 |
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2026 Journal Article Quantifying the fatal and non-fatal burden of disease associated with child growth failure, 2000–2023: a systematic analysis from the Global Burden of Disease Study 2023Troeger, Christopher E., Arndt, Michael Benjamin, Aalruz, Hasan, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Armita, Abie, Alemwork, Aboagye, Richard Gyan, Abolhassani, Hassan, Abtew, Yonas Derso, Abu-Zaid, Ahmed, Adamu, Lawan Hassan, Adane, Mesafint Molla, Addo, Isaac Yeboah, Adegboye, Oyelola A., Adekanmbi, Victor, Adetunji, Juliana Bunmi, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afzal, Muhammad Sohail, Afzal, Saira, Aggarwal, Navidha, Ahmad, Aqeel, Ahmad, Muayyad M., Ahmad, Sajjad, Ahmadi, Elham, Ahmed, Ayman, Ahmed, Haroon ... Reiner, Robert C. (2026). Quantifying the fatal and non-fatal burden of disease associated with child growth failure, 2000–2023: a systematic analysis from the Global Burden of Disease Study 2023. The Lancet Child and Adolescent Health, 10 (1), 22-38. doi: 10.1016/s2352-4642(25)00303-7 |
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2026 Journal Article A Secure and Interpretable Federated Learning Framework for Diabetes Prediction with Blockchain-Enabled SecurityAhmed, Shamim, Chaki, Sudipto, Kaiser, M Shamim, Ali, A B M Shawkat and Moni, Mohammad Ali (2026). A Secure and Interpretable Federated Learning Framework for Diabetes Prediction with Blockchain-Enabled Security. IEEE Transactions on Artificial Intelligence, 1-15. doi: 10.1109/tai.2026.3660813 |
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2026 Journal Article A Decision Support System for Ovarian Cancer Classification Using Clinical Features from Ultrasound ImagingKhokan, Md Ibrahim Patwary, Tonni, Tasnim Jahan, Fatema, Kaniz, Hasan, Md. Zahid, Rony, Md. Awlad Hossen, Rahman, Md. Tanvir, Khan, Risala Tasin, Moni, Mohammad Ali and Mahmud, ASM Ashraf (2026). A Decision Support System for Ovarian Cancer Classification Using Clinical Features from Ultrasound Imaging. IEEE Access, 14, 1-1. doi: 10.1109/access.2026.3690545 |
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2026 Journal Article Author Correction: Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a Global Burden of Disease Study (Nature Medicine, (2026), 32, 2, (527-544), 10.1038/s41591-025-04137-0)Kang, Jiseung, Kim, Hyeon Jin, Kim, Min Seo, Zyoud, Sa’ed H., Zielińska, Magdalena, Zhu, Bin, Zhong, Anthony, Zhang, Jingya, Zhang, Haijun, Zeariya, Mohammed G. M., Zanghì, Aurora, Zakham, Fathiah, Yusuf, Hadiza, Yu, Chuanhua, Yonemoto, Naohiro, Yip, Paul, Yin, Dehui, Yesodharan, Renjulal, Yahaya, Zwanden Sule, Wilandika, Angga, Wickramasinghe, Nuwan Darshana, Wang, Shu, Wang, Yuan-Pang, Walde, Mandaras Tariku, Waheed, Yasir, Vujcic, Isidora S., Vinayak, Manish, Verras, Georgios-Ioannis, Vaziri, Siavash ... Yon, Dong Keon (2026). Author Correction: Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a Global Burden of Disease Study (Nature Medicine, (2026), 32, 2, (527-544), 10.1038/s41591-025-04137-0). Nature Medicine. doi: 10.1038/s41591-026-04513-4 |
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2026 Book Chapter Explainable AI-based heart attack prediction model using various machine learning and ensemble learning approachesPalash, Md Istakiak Adnan, Rahman, Muntarin, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2026). Explainable AI-based heart attack prediction model using various machine learning and ensemble learning approaches. Applied intelligence for healthcare informatics: techniques and applications. (pp. 1-13) edited by Nazmul Siddique, Mohammad Shamsul Arefin, Md Zahid Hasan and M Shamin Kaiser. Boca Raton, FL, USA: CRC Press. doi: 10.1201/9781003583363-1 |
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2026 Journal Article An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalisBristy, Sadia Afrin, Hossain, Md Arju, Hasan, Md Imran, Mahmud, S. M. Hasan, Moni, Mohammad Ali and Rahman, Md Habibur (2026). An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis. Briefings in Functional Genomics, 25 elaf027, 1-17. doi: 10.1093/bfgp/elaf027 |
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2026 Journal Article Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a global burden of disease studyKang, Jiseung, Kim, Hyeon Jin, Kim, Min Seo, Zyoud, Sa’ed H., Zielińska, Magdalena, Zhu, Bin, Zhong, Anthony, Zhang, Jingya, Zhang, Haijun, Zeariya, Mohammed G. M., Zanghì, Aurora, Zakham, Fathiah, Yusuf, Hadiza, Yu, Chuanhua, Yonemoto, Naohiro, Yip, Paul, Yin, Dehui, Yesodharan, Renjulal, Yahaya, Zwanden Sule, Wilandika, Angga, Wickramasinghe, Nuwan Darshana, Wang, Shu, Wang, Yuan-Pang, Walde, Mandaras Tariku, Waheed, Yasir, Vujcic, Isidora S., Vinayak, Manish, Verras, Georgios-Ioannis, Vaziri, Siavash ... Yon, Dong Keon (2026). Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a global burden of disease study. Nature Medicine, 32 (2), 527-544. doi: 10.1038/s41591-025-04137-0 |
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2026 Book Chapter Mind the Gap: Missing Cyber Threat Coverage in NIDS Datasets for the Energy SectorTory, Adrita Rahman, Hasan, Khondokar Fida, Rahman, Md. Saifur, Koroniotis, Nickolaos and Moni, Mohammad Ali (2026). Mind the Gap: Missing Cyber Threat Coverage in NIDS Datasets for the Energy Sector. Lecture Notes in Networks and Systems. (pp. 434-447) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-15764-5_31 |
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2026 Journal Article QKNN: Noise‐Resilient Quantum KNN Algorithm for High‐Accuracy ClassificationRonggon, Asif Akhtab, Hossain, Tuhin, Alahmadi, Tahani Jaser and Moni, Mohammad Ali (2026). QKNN: Noise‐Resilient Quantum KNN Algorithm for High‐Accuracy Classification. Advanced Quantum Technologies, 9 (1) e00651, 1. doi: 10.1002/qute.202500651 |
