Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

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Spatiotemporal Flood Hazard Classification in Bangkok Using Graph Convolutional Network and Temporal Fusion Transformer by Pakpoom Chaimook, Nirattaya Khamsemanan, Cholwich Nattee, Alice Sharp

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Interpretation of chemical reaction yields with graph neural additive network by Youngchun Kwon, Yongsik Jung, Youn-Suk Choi, Seokho Kang

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Cross-modal adaptive reconstruction of open education resources by Tang Shengju, Feng Li, Zhan Wang, Xie Zhaoyuan

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Guided-Aloha for Secondary Access With Spectrum Prediction by Sithamparanathan Kandeepan, Madhulika Tripathi, Ke Wang, Don Gossink, Tharaka Samarasinghe, Chamath Divarathne

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Advancing Water Quality Management: An Integrated Approach Using Ensemble Machine Learning and Real-Time Interactive Visualization by Jigna K. Pandya, Suresh S. Khandelwal, Rupesh Kumar Tipu, Kartik S. Pandya

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AI-Based Prediction of Warpage in Organic Substrates by Jingyi Zhao, Meiying Su, Rui Ma

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A novel machine learning-based approach to determine the reduction factor for punching shear strength capacity of voided concrete slabs by Alireza Mahmoudian, Mussa Mahmoudi, Mohammad Yekrangnia, Nima Tajik, Mostafa Mohammadzadeh Taleshi

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Optimizing public health management with predictive analytics: leveraging the power of random forest by Hongman Wang, Yifan Song, Yifan Song, Hua Bi

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House Market Prediction Using Machine Learning by Nicușor-Andrei ANDREI

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Predicting Mean Flow Through an Array of Cylinders by F. He, S. Draper, M. Ghisalberti, H. An, P. Branson

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Neutrino reheating predictions with non-thermal leptogenesis by Xinyi Zhang

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Crystal methamphetamine use in British Columbia, Canada: A cross-sectional study of people who access harm reduction services. by Kristi Papamihali, Dylan Collins, Mohammad Karamouzian, Roy Purssell, Brittany Graham, Jane Buxton

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Population and individual-level predicting of blood pressure by M. M. Batyushin, V. P. Terentyev

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Predictive role of the dietary inflammatory index on stroke risk among hypertensive patients by Jingru Fan, Yane Yang, Yunjie Yang, Dewei Rui, Shunqi Guo, Meiju Li, Yibing Wang, Yingqing Feng, Chuanwei Zhao

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An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines by Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran

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Predicting the Multiphotonic Absorption in Graphene by Machine Learning by José Zahid García-Córdova, Jose Alberto Arano-Martinez, Cecilia Mercado-Zúñiga, Claudia Lizbeth Martínez-González, Carlos Torres-Torres

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Predicting Contamination Spreading in Water Distribution Networks by Richárd Wéber, Levente Sándor, Ákos Horváth, Gábor Barakka, Gopinathan R. Abhijith, Avi Ostfeld

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Predicting the Risk for Pathological Fracture in Bone Metastases by Pavlos Altsitzioglou, Shinji Tsukamoto, Costantino Errani, Yasuhito Tanaka, Andreas F. Mavrogenis

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Machine Learning and the Conundrum of Stroke Risk Prediction by Yaacoub Chahine, Matthew J Magoon, Bahetihazi Maidu, Juan C del Álamo, Patrick M Boyle, Nazem Akoum

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