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2025 Journal Article STSA‐based early‐stage detection of small brain tumors using neural networkHasan, Nafiul, Rana, Md. Masud, Hasan, Md Mahmudul, Azad, AKM, Afroz, Dil, Komol, Md Mostafizur Rahman, Aktar, Mousumi and Moni, Mohammad Ali (2025). STSA‐based early‐stage detection of small brain tumors using neural network. Engineering Reports, 7 (5) e70135. doi: 10.1002/eng2.70135 |
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2025 Journal Article Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990–2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021Kyu, Hmwe Hmwe, Vongpradith, Avina, Dominguez, Regina-Mae Villanueva, Ma, Jianing, Albertson, Samuel B., Novotney, Amanda, Khalil, Ibrahim A., Troeger, Christopher E., Doxey, Matthew C., Ledesma, Jorge R., Sirota, Sarah Brooke, Bender, Rose Grace, Swetschinski, Lucien R., Cunningham, Matthew, Spearman, Sandra, Abate, Yohannes Habtegiorgis, Abd Al Magied, Abdallah H. A., Abd ElHafeez, Samar, Abdoun, Meriem, Abera, Bayeh, Abidi, Hassan, Aboagye, Richard Gyan, Abtew, Yonas Derso, Abualruz, Hasan, Abu-Gharbieh, Eman, Abukhadijah, Hana J., Aburuz, Salahdein, Addo, Isaac Yeboah, Adekanmbi, Victor ... Murray, Christopher J. L. (2025). Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990–2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Infectious Diseases, 25 (5), 519-536. doi: 10.1016/s1473-3099(24)00691-1 |
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2025 Journal Article Real-time vehicle type detection and counting for emission pollution monitoring and traffic violation identificationRahman, Md Mizanur, Rahim, Mohammad Asifur, Ayman, Umme, Sohel, Amir, Hossain, Md Ali, Moni, Mohammad Ali and Moustafa, Ahmed (2025). Real-time vehicle type detection and counting for emission pollution monitoring and traffic violation identification. Emerging Science Journal, 9 (2), 959-976. doi: 10.28991/esj-2025-09-02-023 |
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2025 Journal Article Genetic links between common lung diseases and lung cancer progression: bioinformatics and machine learning insightsHossain, Md Ali, Asa, Tania Akter, Mahmud, Md. Zulfiker, Azad, AKM, Rahman, Mohammad Zahidur, Moni, Mohammad Ali and Moustafa, Ahmed (2025). Genetic links between common lung diseases and lung cancer progression: bioinformatics and machine learning insights. Emerging Science Journal, 9 (2), 916-937. doi: 10.28991/esj-2025-09-02-021 |
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2025 Journal Article MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpaintingAsad, Nafiz Al, Pranto, Md. Appel Mahmud, Shiam, Shbiruzzaman, Akand, Musaddeq Mahmud, Yousuf, Mohammad Abu, Hasan, Khondokar Fida and Moni, Mohammad Ali (2025). MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpainting. Neural Computing and Applications, 37 (7) 106789, 5459-5480. doi: 10.1007/s00521-024-10886-9 |
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2025 Journal Article Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021Steel, Nicholas, Bauer-Staeb, Clarissa Maria Mercedes, Ford, John A, Abbafati, Cristiana, Abdalla, Mohammed Altigani, Abdelkader, Atef, Abdi, Parsa, Abeldaño Zuñiga, Roberto Ariel, Abiodun, Olugbenga Olusola, Abolhassani, Hassan, Abu-Gharbieh, Eman, Abukhadijah, Hana J, Abu-Zaid, Ahmed, Addo, Isaac Yeboah, Addolorato, Giovanni, Adekanmbi, Victor, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Agardh, Emilie E, Agyemang-Duah, Williams, Ahmad, Danish, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Syed Anees, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Al Zaabi, Omar Ali Mohammed ... Newton, John N (2025). Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021. The Lancet Public Health, 10 (3), e172-e188. doi: 10.1016/S2468-2667(25)00009-X |
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2025 Journal Article A hybrid transfer learning framework for brain tumor diagnosisTonni, Sadia Islam, Sheakh, Md. Alif, Tahosin, Mst. Sazia, Hasan, Md. Zahid, Shuva, Taslima Ferdaus, Bhuiyan, Touhid, Almoyad, Muhammad Ali Abdullah, Orka, Nabil Anan, Rahman, Md. Tanvir, Khan, Risala Tasin, Kaiser, M. Shamim and Moni, Mohammad Ali (2025). A hybrid transfer learning framework for brain tumor diagnosis. Advanced Intelligent Systems, 7 (3) 2400495, 1-10. doi: 10.1002/aisy.202400495 |
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2025 Journal Article A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequencesMehedi, Sk. Tanzir, Abdulrazak, Lway Faisal, Ahmed, Kawsar, Uddin, Muhammad Shahin, Bui, Francis M., Chen, Li, Moni, Mohammad Ali and Al-Zahrani, Fahad Ahmed (2025). A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences. Scientific Reports, 15 (1) 7291, 1-24. doi: 10.1038/s41598-025-89612-x |
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2025 Journal Article WFFS—An ensemble feature selection algorithm for heterogeneous traffic accident data analysisRajee, Alimul, Satu, Md. Shahriare, Abedin, Mohammad Zoynul, Ali, K.M. Akkas, Aloteibi, Saad and Moni, Mohammad Ali (2025). WFFS—An ensemble feature selection algorithm for heterogeneous traffic accident data analysis. Knowledge-Based Systems, 311 113089, 1-15. doi: 10.1016/j.knosys.2025.113089 |
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2025 Journal Article A multi-agent and attention-aware enhanced CNN-BiLSTM model for human activity recognition for enhanced disability assistanceKhatun, Mst Alema, Yousuf, Mohammad Abu, Turna, Taskin Noor, Azad, AKM, Alyami, Salem A. and Moni, Mohammad Ali (2025). A multi-agent and attention-aware enhanced CNN-BiLSTM model for human activity recognition for enhanced disability assistance. Diagnostics, 15 (5) 537, 537. doi: 10.3390/diagnostics15050537 |
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2025 Journal Article Quantum deep learning in neuroinformatics: a systematic reviewOrka, Nabil Anan, Awal, Md. Abdul, Liò, Pietro, Pogrebna, Ganna, Ross, Allen G. and Moni, Mohammad Ali (2025). Quantum deep learning in neuroinformatics: a systematic review. Artificial Intelligence Review, 58 (5) 134, 1-24. doi: 10.1007/s10462-025-11136-7 |
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2025 Journal Article A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesNahiduzzaman, Md., Abdulrazak, Lway Faisal, Kibria, Hafsa Binte, Khandakar, Amith, Ayari, Mohamed Arselene, Ahamed, Md. Faysal, Ahsan, Mominul, Haider, Julfikar, Moni, Mohammad Ali and Kowalski, Marcin (2025). A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images. Scientific Reports, 15 (1) 1649, 1-21. doi: 10.1038/s41598-025-85874-7 |
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2025 Journal Article iMRSA-Fuse: A fast and accurate computational approach for predicting anti-MRSA peptides by fusing multi-view informationCharoenkwan, Phasit, Schaduangrat, Nalini, Moni, Mohammad Ali and Shoombuatong, Watshara (2025). iMRSA-Fuse: A fast and accurate computational approach for predicting anti-MRSA peptides by fusing multi-view information. IEEE Transactions on Computational Biology and Bioinformatics, 22 (1), 2-12. doi: 10.1109/tcbbio.2024.3496503 |
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2025 Journal Article Global, regional and national burden of dietary iron deficiency from 1990 to 2021: a Global Burden of Disease studyLee, Sooji, Son, Yejun, Hwang, Jiyoung, Kim, Min Seo, McLaughlin, Susan A., Vilchis-Tella, Victor, Zoeckler, Leo, Perumal, Nandita, Zyoud, Sa’ed H., Zoghi, Ghazal, Zia, Hafsa, Zhumagaliuly, Abzal, Zhong, Claire Chenwen, Zhang, Liqun, Zhang, Haijun, Zeru, Naod Gebrekrstos, Zeariya, Mohammed G. M., Zare, Iman, Zamora, Nelson, Zaman, Burhan Abdullah, Yu, Chuanhua, Yonemoto, Naohiro, Yin, Dehui, Yigezu, Muluken, Yesuf, Subah Abderehim, Yaya, Sanni, Yarahmadi, Amir, Yadav, Vikas, Xu, Xiaoyue ... Kassebaum, Nicholas. J. (2025). Global, regional and national burden of dietary iron deficiency from 1990 to 2021: a Global Burden of Disease study. Nature Medicine, 31 (6), 1809-1829. doi: 10.1038/s41591-025-03624-8 |
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2025 Journal Article Global, regional, and national progress towards the 2030 global nutrition targets and forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2021Arndt, Michael Benjamin, Abate, Yohannes Habtegiorgis, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdulah, Deldar Morad, Abdulkader, Rizwan Suliankatchi, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abtew, Yonas Derso, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Acuna, Juan Manuel, Adamu, Kidist, Adane, Denberu Eshetie, Addo, Isaac Yeboah, Adeyinka, Daniel Adedayo, Adnani, Qorinah Estiningtyas Sakilah, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Afzal, Saira, Agodi, Antonella, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Sajjad, Ahmad, Tauseef ... Reiner, Robert C (2025). Global, regional, and national progress towards the 2030 global nutrition targets and forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 404 (10471), 2543-2583. doi: 10.1016/S0140-6736(24)01821-X |
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2025 Journal Article Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: a comprehensive review of COVID-19 detectionIslam, Md Shofiqul, Hasan, Khondokar Fida, Shajeeb, Hasibul Hossain, Rana, Humayan Kabir, Rahman, Md. Saifur, Hasan, Md. Munirul, Azad, AKM, Abdullah, Ibrahim and Moni, Mohammad Ali (2025). Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: a comprehensive review of COVID-19 detection. AI Open, 6, 12-44. doi: 10.1016/j.aiopen.2025.01.003 |
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2025 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 (2025). Deep3BPP: identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTM. IEEE Transactions on Artificial Intelligence. doi: 10.1109/tai.2025.3567434 |
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2024 Journal Article Burden of disease scenarios by state in the USA, 2022-50: a forecasting analysis for the Global Burden of Disease Study 2021Mokdad, Ali H., Bisignano, Catherine, Hsu, Johnathan M., Bryazka, Dana, Cao, Shujin, Bhattacharjee, Natalia V., Dalton, Bronte E., Lindstedt, Paulina A., Smith, Amanda E., Ababneh, Hazim S., Abbasgholizadeh, Rouzbeh, Abdelkader, Atef, Abdi, Parsa, Abiodun, Olugbenga Olusola, Aboagye, Richard Gyan, Abukhadijah, Hana J., Abu-Zaid, Ahmed, Acuna, Juan Manuel, Addo, Isaac Yeboah, Adekanmbi, Victor, Adeyeoluwa, Temitayo Esther, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Agyemang-Duah, Williams, Ahmad, Shahzaib, Ahmadzade, Mohadese, Ahmed, Ali, Ahmed, Ayman ... Murray, Christopher J. L. (2024). Burden of disease scenarios by state in the USA, 2022-50: a forecasting analysis for the Global Burden of Disease Study 2021. Lancet, 404 (10469), 2341-2370. |
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2024 Journal Article Burden of disease scenarios by state in the USA, 2022-50: a forecasting analysis for the Global Burden of Disease Study 2021Mokdad, Ali H., Bisignano, Catherine, Hsu, Johnathan M., Bryazka, Dana, Cao, Shujin, Bhattacharjee, Natalia V., Dalton, Bronte E., Lindstedt, Paulina A., Smith, Amanda E., Ababneh, Hazim S., Abbasgholizadeh, Rouzbeh, Abdelkader, Atef, Abdi, Parsa, Abiodun, Olugbenga Olusola, Aboagye, Richard Gyan, Abukhadijah, Hana J., Abu-Zaid, Ahmed, Acuna, Juan Manuel, Addo, Isaac Yeboah, Adekanmbi, Victor, Adeyeoluwa, Temitayo Esther, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Agyemang-Duah, Williams, Ahmad, Shahzaib, Ahmadzade, Mohadese, Ahmed, Ali, Ahmed, Ayman ... Murray, Christopher J. L. (2024). Burden of disease scenarios by state in the USA, 2022-50: a forecasting analysis for the Global Burden of Disease Study 2021. Lancet, 404 (10469), 2341-2370. doi: 10.1016/S0140-6736(24)02246-3 |
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2024 Journal Article The burden of diseases, injuries, and risk factors by state in the USA, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021Mokdad, Ali H, Bisignano, Catherine, Hsu, Johnathan M, Aldridge, Robert W, Aravkin, Aleksandr Y, Brauer, Michael, Bryazka, Dana, Cagney, Jack, Cogen, Rebecca M, Culbreth, Garland T, Dai, Xiaochen, Daoud, Farah, Degenhardt, Louisa, Dwyer-Lindgren, Laura, Feigin, Valery L, Flor, Luisa S, Fu, Weijia, Gardner, William M, Haakenstad, Annie, Haile, Demewoz, Hamilton, Erin B, Hay, Simon I, Ikuta, Kevin S, Kassebaum, Nicholas J, Lim, Stephen S, Mestrovic, Tomislav, Moberg, Madeline E, Mougin, Vincent, Naghavi, Mohsen ... Zyoud, Sa'ed H (2024). The burden of diseases, injuries, and risk factors by state in the USA, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 404 (10469), 2314-2340. doi: 10.1016/S0140-6736(24)01446-6 |
