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2026 Journal Article RGNN3D: a hybrid radiomic graph neural network for 3D MRI glioma gradingAli, Md Aiyub, Hossain, Md Shakhawat, Shuva, Taslima Ferdaus, Almoyad, Muhammad Ali Abdullah, Orka, Nabil Anan, Khan, Risala Tasin, Kaiser, M. Shamim, Rahman, Md Tanvir and Moni, Mohammad Ali (2026). RGNN3D: a hybrid radiomic graph neural network for 3D MRI glioma grading. Knowledge-Based Systems, 337 115343, 1-11. doi: 10.1016/j.knosys.2026.115343 |
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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 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 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, 3. doi: 10.1007/s10462-025-11459-5 |
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2026 Journal Article StackAPP: Advancing autophagy protein identification with ensemble learningShoyshob, Munem Shahriar, Al-Tabatabaie, Kusay Faisal, Abdulrazak, Lway Faisal, Rahman, Md. Ashikur, Ali, Md. Mamun, Ibrahim, Sobhy M., Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2026). StackAPP: Advancing autophagy protein identification with ensemble learning. Analytical Biochemistry, 708 115981, 115981-708. doi: 10.1016/j.ab.2025.115981 |
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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 & Adolescent Health, 10 (1), 22-38. doi: 10.1016/s2352-4642(25)00303-7 |
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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 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 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. doi: 10.1093/bfgp/elaf019 |
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2025 Journal Article Correction: Digital Health for Australia: Bridging the Rural, Regional, and Remote Health GapMahmood, Shakeel, Huda, M Mamun, Ahmed, Kedir Yimam, Subash, Thapa, Astawesegn, Feleke Hailemichael, Anyasodor, Anayochukwu Edward, Moni, Mohammad Ali, Shiddiky, Muhammad J A, Mondal, Utpal K, Aychiluhm, Setognal Birara, Giri, Santosh and Ross, Allen G (2025). Correction: Digital Health for Australia: Bridging the Rural, Regional, and Remote Health Gap. Interactive Journal of Medical Research, 14 e89755, e89755. doi: 10.2196/89755 |
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2025 Journal Article ADeepWeeD: An adaptive deep learning framework for weed species classificationRahman, Md Geaur, Rahman, Md Anisur, Parvez, Mohammad Zavid, Patwary, Md Anwarul Kaium, Ahamed, Tofael, Fleming-Muñoz, David A., Aloteibi, Saad and Moni, Mohammad Ali (2025). ADeepWeeD: An adaptive deep learning framework for weed species classification. Artificial Intelligence in Agriculture, 15 (4), 590-609. doi: 10.1016/j.aiia.2025.04.009 |
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2025 Journal Article Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019Zuniga, Yves Miel H., Zumla, Alimuddin, Zuhlke, Liesl J., Zoladl, Mohammad, Ziaeian, Boback, Zhong, Chenwen, Zhao, Xiu-Ju George, Zhang, Zhi-Jiang, Zhang, Jianrong, Zepro, Nejimu Biza, Zenebe, Getachew Assefa, Zeitoun, Jean-David, Zegeye, Zelalem Banjaw, Zastrozhin, Mikhail Sergeevich, Zareshahrabadi, Zahra, Zarea, Kourosh, Dehnavi, Ali Zare, Zare, Iman, Zangiabadian, Moein, Zangeneh, Alireza, Zamora, Nelson, Zaman, Sojib Bin, Zaki, Nazar, Zakaryaei, Farima, Zahir, Mazyar, Tajrishi, Farbod Zahedi, Zadnik, Vesna, Zadey, Siddhesh, Yusefi, Hossein ... Anza-Ramirez, Cecilia (2025). Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019. Nature Communications, 16 (1) 4235, 1. doi: 10.1038/s41467-025-56910-x |
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2025 Journal Article K-SNOpred: identification of protein S-nitrosylation sites through word embedding features and machine learningKarim, Tasmin, Shaon, Md. Shazzad Hossain, Ali, Md. Mamun, Ibrahim, Sobhy M., Akter, Mst Shapna, Ahmed, Kawsar, Bui, Francis M., Chen, Li and Moni, Mohammad Ali (2025). K-SNOpred: identification of protein S-nitrosylation sites through word embedding features and machine learning. Analytical Biochemistry, 707 115952, 115952-707. doi: 10.1016/j.ab.2025.115952 |
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2025 Journal Article Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023Sirota, Sarah Brooke, Bender, Rose Grace, Dominguez, Regina-Mae Villanueva, Movo, Amanda, Swetschinski, Lucien R, Araki, Daniel T, Han, Chieh, Wool, Eve E, He, Jiawei, Carter, Austin, A.J. Jabbar, Ahmed, Aalipour, Mohammad Amin, Aalruz, Hasan, Abbasi Dolatabadi, Zahra, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdalla, Ashraf Nabiel, Abdalla, Mohammed Altigani, Abdullah, , Abdallah, Emad M., Abdel Razeq, Nadin M.I., Abdelkader, Atef, Abd-Elsalam, Sherief, Abdelwahab, Siddig Ibrahim, Abdoun, Meriem, Abdous, Arman, Abdrabou, Mostafa M., Abdul Aziz, Jeza Muhamad, Abdulah, Deldar Morad ... Kyu, Hmwe Hmwe (2025). Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet Infectious Diseases. doi: 10.1016/s1473-3099(25)00689-9 |
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2025 Journal Article Global, regional, and national sepsis incidence and mortality, 1990–2021: a systematic analysisGray, Authia P, Chung, Erin, Hsu, Rebecca L, Araki, Daniel T, Gershberg Hayoon, Anna, Davis Weaver, Nicole, Swetschinski, Lucien R, Wool, Eve E, Han, Chieh, Mestrovic, Tomislav, Ikuta, Kevin S, Abbas, Nasir, Abbasi, Madineh, Abd ElHafeez, Samar, Abdisa, Wakgari Mosisa, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abejew, Asrat Agalu, Abie, Alemwork, Abolhassani, Hassan, Abukhadijah, Hana J, Achore, Meshack, Adams, Lisa C, Adedokun, Kamoru Ademola, Adesola, Ridwan Olamilekan, Adiga, Usha, Adnani, Qorinah Estiningtyas Sakilah, Afolabi, Aanuoluwapo Adeyimika ... Naghavi, Mohsen (2025). Global, regional, and national sepsis incidence and mortality, 1990–2021: a systematic analysis. The Lancet Global Health, 13 (12), e2013-e2026. doi: 10.1016/s2214-109x(25)00356-0 |
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2025 Journal Article A vision transformer-based hybrid neural architecture for automated handwritten Bangla character recognition and braille conversionAhmed, Touseef Saleh Bin, Rahman, Tawhidur, Biswas, Shammo, Sabuj, Saifur Rahman, Bhuian, Mohammed Belal, Moni, Mohammad Ali and Alam, Md Ashraful (2025). A vision transformer-based hybrid neural architecture for automated handwritten Bangla character recognition and braille conversion. Knowledge-Based Systems, 330 114546, 114546. doi: 10.1016/j.knosys.2025.114546 |
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2025 Journal Article Multi-teacher knowledge distillation and ensemble algorithm for efficient brain tumor classification in resource-constrained environments with explainable AIAlim, Md. Samiul, Tamim, Mahir Shahriar, Sarkar, Shuvo, Yousuf, Mohammad Abu, Al-Moisheer, Asmaa Soliman, Alyam, Salem A. and Moni, Mohammad Ali (2025). Multi-teacher knowledge distillation and ensemble algorithm for efficient brain tumor classification in resource-constrained environments with explainable AI. Knowledge-Based Systems, 330 114711, 1-22. doi: 10.1016/j.knosys.2025.114711 |
