Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network by Ji Qi, Pengrui Li, Yifan Dong, Zhicheng Fu, Zhanguo Wang, Yong Yi, Jie Tian

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Clinical-radiomics hybrid modeling outperforms conventional models: machine learning enhances stratification of adverse prognostic features in prostate cancer by Minghan Jiang, Minghan Jiang, Zeyang Miao, Run Xu, Mengyao Guo, Xuefeng Li, Guanwu Li, Peng Luo, Su Hu, Su Hu

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Rasch modelling vs. item facility: implications on the validity of assessments of Asian EFL/ESL vocabulary knowledge and lexical sophistication modelling by Liang Ye Tan, Stuart McLean, Young Ae Kim, Joseph P. Vitta

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Deep representation learning enables cross-basin water quality prediction under data-scarce conditions by Yue Zheng, Xiaoran Zhang, Yongchao Zhou, Yiping Zhang, Tuqiao Zhang, Raziyeh Farmani

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Wind Turbine Airfoil Noise Prediction Method Based on Generalized Airfoil Database and Residual Neural Network by Quan Wang, Haoran Zhang, Xiaodi Wang, Yang Ni

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Online prediction of ship maneuvering motions based on adaptive weighted ensemble learning under dynamic changes by Yaohui Yu, Hongbin Hao, Zihao Wang, Yan Peng, Shaorong Xie

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STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models by Hai Liao, Yan Liang, Song Chen, Lingyun Xiang, Zhimin Chang, Yun Xiao

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Six-hour Prediction of Interplanetary Magnetic Field Bz Profiles for Strong Southward Cases by Deep Learning by Jihyeon Son, Yong-Jae Moon, Young-Sil Kwak, Kyung Sun Park, Hyun-Jin Jeong

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Uncertainty and Prediction Intervals of New Machine Learning Approach for Non-Destructive Evaluation of Concrete Compressive Strength by Seyed Alireza Alavi, Martin Noel

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Enhancing Thyroid Nodule Assessment With UTV-ST Swin Kansformer: A Multimodal Approach to Predict Invasiveness by Yufang Zhao, Yue Li, Yanjing Zhang, Xiaohui Yan, Guolin Yin, Liping Liu

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Narrative Review of Patient Cancer Tissue–Derived Zebrafish Xenograft Models for Evaluating Drug Sensitivity as an Avatar Model for Clinical Application by Yusuke Sugino, Xin Bao, Takumi Kageyama, Sho Sekito, Shiori Miyachi, Takeshi Sasaki, Toshio Tanaka, Takahiro Inoue

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A Flash Flood Numerical Modeling and Forecasting Tool in Mountainous Small Catchments Based on a 2‐D Hydrodynamic Model by Fulei Wang, Chaojun Ouyang, Huicong An, Xiaoqing Chen, Shu Zhou, Qingsong Xu

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Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study by Mingwei Zhang, Ming Zhong, Yunzhang Cheng, Tianyi Zhang

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A novel deep learning approach for predicting stone-free rates post-ESWL on uncontrasted CT by Ozgur Efiloglu, Muhammed Yildirim, Kadir Yildirim, Harun Bingol, Mustafa Kaan Akalin, Meftun Culpan, Bilal Alatas, Asif Yildirim

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Predictive Understanding of Links Between Vegetation and Soil Burn Severities Using Physics‐Informed Machine Learning by Seyd Teymoor Seydi, John T. Abatzoglou, Amir AghaKouchak, Yavar Pourmohamad, Ashok Mishra, Mojtaba Sadegh

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Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach by Fan Yu, Wei Chu, Rui Zhang, Zhang Gao, Yunan Yang

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Advanced Heart Disease Prediction Through Spatial and Temporal Feature Learning with SCN-Deep BiLSTM by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia

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Anomaly Detection Using Machine Learning in Hydrochemical Data From Hot Springs: Implications for Earthquake Prediction by Ruijie Zhu, Fengtian Yang, Xiaocheng Zhou, Jiao Tian, Yongxian Zhang, Miao He, Jingchao Li, Jinyuan Dong, Ying Li

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A Machine Learning Zircon Trace Element Tool to Predict Porphyry Deposit Type and Resource Size by Zi‐Hao Wen, Bo Xu, Christopher L. Kirkland, David R. Lentz, Zeng‐Qian Hou, Tao Wang, Mao‐Wen Yuan

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The Incidence Patterns Model to Estimate the Distribution of New HIV Infections in Sub-Saharan Africa: Development and Validation of a Mathematical Model. by Annick Bórquez, Anne Cori, Erica L Pufall, Jingo Kasule, Emma Slaymaker, Alison Price, Jocelyn Elmes, Basia Zaba, Amelia C Crampin, Joseph Kagaayi, Tom Lutalo, Mark Urassa, Simon Gregson, Timothy B Hallett

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