Developing Transferable Fourier Transform Mid-Infrared Spectroscopy Predictive Models for Buffalo Milk: A Spatio-Temporal Application Strategy Analysis Across Dairy Farms by Han Jiang, Peipei Wen, Yikai Fan, Yi Zhang, Chunfang Li, Chu Chu, Haitong Wang, Yue Zheng, Chendong Yang, Guie Jiang, Jianming Li, Junqing Ni, Shujun Zhang

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Forecasting Day-Ahead Electricity Demand in Australia Using a CNN-LSTM Model with an Attention Mechanism by Laial Alsmadi, Gang Lei, Li Li

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An interpretable predictive model for bank customers’ income using the eXtreme Gradient Boosting algorithm and the SHAP method: a case study of an Anonymous Chilean Bank by Patricio Salas, Patricio Sáez, Vicente Marchant

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Proactive Data Placement in Heterogeneous Storage Systems via Predictive Multi-Objective Reinforcement Learning by Suchuan Xing, Yihan Wang

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Multidimensional assessment of the spatiotemporal evolution, driving mechanisms, and future predictions of urban heat islands in Jinan, China by Lingye Tan, Tiong Lee Kong Robert, Yan Zhang, Siyi Huang, Ziyang Zhang

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Exploring the Current Applications and Future Implications of Artificial Intelligence in Public Health Dentistry: A Narrative Review by Tanushri Mahendra Dalvi, Rajeshri Kotwadekar, Shrivardhan R Kalghatgi, Priyanka Paul Madhu, Priyanka Methildeotare

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Harnessing photosynthetic and morpho-physiological traits for drought-resilient soybean: integrating field phenotyping and predictive approaches by Harmeet Singh-Bakala, Harmeet Singh-Bakala, Francia Ravelombola, Cheryl Adeva, Maiara Oliveira, Ru Zhang, Jessica Argenta, Grover Shannon, Feng Lin

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Local modelling techniques for assessing micro-level impacts of risk factors in complex data: understanding health and socioeconomic inequalities in childhood educational attainmen... by Shang-Ming Zhou, Ronan A Lyons, Owen G Bodger, Ann John, Huw Brunt, Kerina Jones, Mike B Gravenor, Sinead Brophy

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Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm by Pedro Torres-Bermeo, José Varela-Aldás, Kevin López-Eugenio, Nancy Velasco, Guillermo Palacios-Navarro

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Parameter Optimization of Noise-Reduction Filters of Hi-Performance Power Supplies by A. A. Shmelkova, V. V. Andreev, V. E. Drach

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The Application of Imperialist Competitive Algorithm in Determining the Optimal Parameters of Empirical Area Reduction Method to Predict the Sedimentation Process in Dez Dam by Arash Azari, Sadegh Soori Hossein Bonakdari, Hossein Bonakdari

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A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study by Jing Xu, Wenjin Zhang, Wenli Liu

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Investigation of Middle School Students' Model of Astronomy Events and Information Sources of Incorrect Model by Tufan Inaltekin, Uğur Akbaba

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Evaluation of Partial Factorization for Reduction of Finite Element Matrices by Pawel JARZĘBSKI, Krzysztof WIŚNIEWSKI

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Optimization of New Energy Vehicle Industry Structure Based on Optimization Link Prediction Similarity Algorithm and CGE by Zhenjun Xie

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Predicting Atmospheric Dispersion of Industrial Chemicals Using Machine Learning Approaches by Maria Valle, Jairo A. Cardona, Cesar Viloria-Nunez, Christian G. Quintero M.

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Prediction of drag coefficient of a hybrid body design of aircraft by Shreya Viswanath, Riya Vasan, Venkatachalam Gopalan, Nilesh Satonkar

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Possibilities of predicting the risk of developing cardiac conduction disorders after transcatheter aortic valve replacement by V. S. Chekanova, T. E. Imaev, A. V. Pevzner, A. E. Komlev, A. B. Zulkarnaev

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Analysis of Optimal Prediction Under Stochastically Restricted Linear Model and Its Subsample Models by Nesrin Güler

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Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

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