AI-Driven Optimization of Breakwater Design: Predicting Wave Reflection and Structural Dimensions by Mohammed Loukili, Soufiane El Moumni, Kamila Kotrasova

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Development of a deep learning system for predicting biochemical recurrence in prostate cancer by Lu Cao, Ruimin He, Ao Zhang, Lingmei Li, Wenfeng Cao, Ning Liu, Peisen Zhang

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Comparative analysis of machine learning algorithms for predicting depression among individuals with diabetes by Hind Bourkhime, Noura Qarmiche, Soumaya Benmaamar, Nada Lazar, Mohammed Omari, Mohamed Berraho, Nabil Tachfouti, Samira El Fakir, Hanan El Ouahabi, Nada Otmani

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Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms by Paramasivam Alagumariappan, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, K. Kamalanand, C. Emmanuel, Sarah Allabun, Manal Othman, Masresha Getahun, Ben Othman Soufiene

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Machine learning predicts pulmonary Long Covid sequelae using clinical data by Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì

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Predicting competitive alpine skiing performance by multivariable statistics—the need for individual profiling by Robert Nilsson, Apostolos Theos, Ann-Sofie Lindberg, Christer Malm

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Deep spatio-temporal dependent convolutional LSTM network for traffic flow prediction by Jie Tang, Rong Zhu, Fengyun Wu, Xuansen He, Jing Huang, Xianlai Zhou, Yishuai Sun

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Visual Indicator for Intradialytic Hypotension Prediction Using Variation and Compensation of Heart Rate by Tae-Wuk Bae, Ji-Hyun Park, Jong-Won Park, Kee-Koo Kwon, Kwang-Yong Kim

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Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction by Vitalii Kapitan, Michael Choi

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Determination and Prediction of Available Energy in 13 Cereal Feed Ingredients for Growing Pigs by Jinbiao Zhao, Xiaoming Song, Meiyu Yang, Ge Zhang, Ling Liu

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Interactions between ABC gene polymorphisms and processing speed in predicting depression severity by Meijiang Jin, Lei Ji, Maojia Ran, Yan Bi, Hang Zhang, Yuanmei Tao, Hanmei Xu, Shoukang Zou, Hong Zhang, Tao Yu, Li Yin

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Multimodal tumor microenvironment signature of colorectal cancer for prediction prognosis and chemotherapy benefit by Wei Jiang, Kun Yang, Chanchan Xiao, Hongli Ji, Botao Yan, Shuhan Zhao, Biao Zhang, Jiaxin Cheng, Shuoyu Xu, Guangxing Wang, Zexi Lin, Jianping Lu, Gang Chen, Shuangmu Zhuo, Jun Yan

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Models for forecasting flight delays by D. Tarasonok, Y. Oliinyk, T. Likhouzova

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Incorporating genetic load contributes to predicting Arabidopsis thaliana’s response to climate change by Juan Jiang, Jia-Fu Chen, Xin-Tong Li, Li Wang, Jian-Feng Mao, Bao-Sheng Wang, Ya-Long Guo

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Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics by Ariane Khaledi, Aaron Weimann, Monika Schniederjans, Ehsaneddin Asgari, Tzu‐Hao Kuo, Antonio Oliver, Gabriel Cabot, Axel Kola, Petra Gastmeier, Michael Hogardt, Daniel Jonas, Mohammad RK Mofrad, Andreas Bremges, Alice C McHardy, Susanne Häussler

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Promising photosynthetic parameters Y(II) and NPQ for predicting barley drought tolerance by Yu. A. Nemtsova, D. V. Kuznetsova, M. A. Grinberg, V. A. Vodeneev, A. A. Dontsova, D. P. Dontsov, V. S. Bondarenko, P. Yu. Volkova, E. V. Bondarenko

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Artificial neural network accurately predicts hepatitis B surface antigen seroclearance. by Ming-Hua Zheng, Wai-Kay Seto, Ke-Qing Shi, Danny Ka-Ho Wong, James Fung, Ivan Fan-Ngai Hung, Daniel Yee-Tak Fong, John Chi-Hang Yuen, Teresa Tong, Ching-Lung Lai, Man-Fung Yuen

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The predictive relationship between parents’ perceptions of physical activity and children’s physical literacy by Bin Long, Senlin Chen, Yicheng Long, Yang Liu, Yangyang Li, Yuhuai Wang, Ping Wang, Mingang Guo, Yiwu Yang

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The Prediction of Outcomes in Patients Admitted with Traumatic Brain Injury Using the Rotterdam Score by Bikram Shakya, Bidur KC

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Prediction of cardiovascular risk using machine-learning methods. Sex-specific differences by Sara Castel-Feced, Sara Castel-Feced, Sara Castel-Feced, Sara Castel-Feced, Isabel Aguilar-Palacio, Isabel Aguilar-Palacio, Isabel Aguilar-Palacio, Isabel Aguilar-Palacio, Sara Malo, Sara Malo, Sara Malo, Sara Malo, Juan González-García, Lina Maldonado, Lina Maldonado, Lina Maldonado, María José Rabanaque-Hernández, María José Rabanaque-Hernández, María José Rabanaque-Hernández, María José Rabanaque-Hernández

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