Prediction of Heavy Oil Production Based on Geomechanical Analysis in Entire Lifecycle of SAGD by Dengke Li, Shaowen Zhu, Yanchao Li, Shijie Shen, Zupeng Chen, Zhanli Ren, Yuxuan Zhou, Yanfang Gao

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Integrating temporal convolutional networks with metaheuristic optimization for accurate software defect prediction. by Ahmed Abdelaziz, Alia Nabil Mahmoud, Vitor Santos, Mario M Freire

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A Convolutional Neural Network-Based Stress Prediction Method for Airfoil Structures by Wendi Jia, Quanlong Chen

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Personalized Human Thermal Sensation Prediction Based on Bayesian-Optimized Random Forest by Hao Yang, Maoyu Ran

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An optimized machine learning framework for predicting and interpreting corporate ESG greenwashing behavior. by Fanlong Zeng, Jintao Wang, Chaoyan Zeng

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Identifying source of predictability for vapor pressure deficit variability in the southwestern United States by Jiale Lou, Youngji Joh, Thomas L. Delworth, Liwei Jia

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Enhanced Dung Beetle Optimizer-Optimized KELM for Pile Bearing Capacity Prediction by Bohang Chen, Mingwei Hai, Gaojian Di, Bin Zhou, Qi Zhang, Miao Wang, Yanxiu Guo

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Machine learning-based prediction of the necessity for the surgical treatment of distal radius fractures by Jongmin Lim, Sehun Chang, Kwangsu Kim, Hee Jin Park, Eugene Kim, Seok Woo Hong

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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

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AD-Diff: enhancing Alzheimer's disease prediction accuracy through multimodal fusion by Lei Han

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Machine learning predicts and provides insights into milk acidification rates of Lactococcus lactis. by Signe Tang Karlsen, Tammi Camilla Vesth, Gunnar Oregaard, Vera Kuzina Poulsen, Ole Lund, Gemma Henderson, Jacob Bælum

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Radiomics analysis for prediction and classification of submucosal tumors based on gastrointestinal endoscopic ultrasonography by Hui Zhou, Guoliang Wei, Junke Wu

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Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach by João Miguel Alves, Daniel Matos, Tiago Martins, Diogo Cavaco, Pedro Carmo, Pedro Galvão, Francisco Moscoso Costa, Francisco Morgado, António Miguel Ferreira, Pedro Freitas, Cláudia Camila Dias, Pedro Pereira Rodrigues, Pedro Adragão

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A Multi-Time Scale Scheduling Model for Power Generation Systems with a High Proportion of New Energy Including Pumped Storage Power Stations by GU Huijie, ZHOU Huafeng, PENG Chaoyi, HU Yaping, ZHAO Xinyi, XIE Jun, SHI Xionghua

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Prediction of Bus Arrival Time Based on Gated Recurrent Unit Neural Networks by LU Juntian;SUN Ling;SHI Quan

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Rice Price Prediction with Long Short-Term Memory (LSTM) Neural Network by Rahmat Hidayat, Irawan Wibisonya

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Urban road travel speed prediction based on multi-feature data fusion by HUO Jianan, CHENG Wei, LI Bing

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Microfinance institutions failure prediction in emerging countries, a machine learning approach. by Yvan J Garcia-Lopez, Patricia Henostroza Marquez, Nicolas Nuñez Morales

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Pedestrian Trajectory Prediction via Window Attention and Spatial Graph Interaction Network by Xiang Gu, Chao Li, Jie Yang, Jing Wang, Qiwei Huang

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Random Forest-Based Prediction of the Optimal Solid Ink Density in Offset Lithography by Laihu Peng, Hao Fan, Yubao Qi, Jianqiang Li

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