Epidemiological trends in burden of osteoarthritis in China: an analysis from 1990 to 2021 with forecasts for 2022–2050 by Xiaofei Cao, Ruixuan Zhu, Dan Liu, Yuanyuan Cheng, Yanmin Sun, Zhipeng Huang

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Time series analysis and prediction of the trends of COVID-19 epidemic in Singapore based on machine learning by Wenbin Yang, Xin Chang

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MFE-DDI: A multi-view feature encoding framework for drug-drug interaction prediction by Lingfeng Wang, Yinghong Li, Yaozheng Zhou, Liping Guo, Congzhou Chen

“…In this study, we propose the Multi-view Feature Embedding for drug-drug interaction prediction (MFE-DDI), which integrates SMILES information, molecular graph data and atom spatial semantic information to model drugs from multiple perspectives and encapsulate the intricate drug information crucial for predicting DDIs. …”
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A Gradient Boosting Crash Prediction Approach for Highway-Rail Grade Crossing Crash Analysis by Pan Lu, Zijian Zheng, Yihao Ren, Xiaoyi Zhou, Amin Keramati, Denver Tolliver, Ying Huang

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Optimizing Heart Disease Prediction: A Comparative Analysis of Tree-Based Ensembles With Feature Expansion and Selection by K. Aswini, Kriti Arya

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Novel FTLRNN with Gamma Memory for Short-Term and Long-Term Predictions of Chaotic Time Series by Sanjay L. Badjate, Sanjay V. Dudul

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History Matching and Production Prediction of Steam Drive Reservoir Based on Data-Space Inversion Method by RuXiang Gong, JingSong Li, ZiJun Huang, Fei Wang, Hao Yang, Xiang Rao, GuangLong Sheng, Hui Zhao, YunFeng Xu, Deng Liu

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Breast Cancer Prognosis Prediction and Immune Pathway Molecular Analysis Based on Mitochondria-Related Genes by Weixu Luo, Yuanshan Han, Xin Li, Zhuo Liu, Pan Meng, Yuhong Wang

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Research on the Prediction of the Operational Risk Field of Intelligent Vehicles Based on Dual Multiline LiDAR by Ruibin Zhang, Yingshi Guo, Chang Wang, Yang Zhou, Yunze Long

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Evaluation and prediction of coal seam mining mode: Coefficient of Variation-TOPSIS and CNN-NGO methods by Haixiong Li, Fei Wang

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Using Deep Learning to Improve Short-term Climate Prediction of Summer Precipitation in Southwestern China by Haoyuan ZHANG, Panjie QIAO, Wenqi LIU, Yongwen ZHANG

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A Data Organization Method for LSTM and Transformer When Predicting Chinese Banking Stock Prices by Zong-Yu Peng, Pei-Chang Guo

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Ultra-Short-Term Prediction of Wind Power Based on Fuzzy Clustering and RBF Neural Network by Huang Hui, Jia Rong, Wang Songkai

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Runoff Prediction and Uncertainty Analysis for Xijiang River Basin Based on CMIP6 Climate Scenarios by WU Huiming, YAN Meng, ZHOU Shuai

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A KAN-based interpretable framework for prediction of global warming potential across chemical space by Jaewook Lee, Xinyang Sun, Ethan Errington, Calum Drysdale, Miao Guo

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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

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Reliability Assessment and Condition Monitoring of Wind Energy Conversion Systems Using Bayesian Networks: Recent Advances and Key Insights by Fatemeh Salboukh, Yashar Mousavi, Ibrahim Beklan Kucukdemiral, Afef Fekih, Umit Cali

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Short-term prediction method of oblique sounding ionosphere MUF based on robust Kalman filter by Guojun LI, Guangfa ZHENG, Changrong YE, Yinping ZHOU

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Prediction of energy consumption in four sectors using support vector regression optimized with genetic algorithm by Md. Sadikul Hasan, Md. Tarequzzaman, Md. Moznuzzaman, Md Abdul Ahad Juel

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Temporal Graph Attention Network for Spatio-Temporal Feature Extraction in Research Topic Trend Prediction by Zhan Guo, Mingxin Lu, Jin Han

“…Extensive experiments demonstrate that T-GAT outperforms baseline models in prediction accuracy, with RMSE and MAE being reduced by 4.8% to 7.1% and 14.5% to 18.4%, respectively, while <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula> improved by 4.8% to 7.9% across varying observation time steps on the WFtopic-econ dataset. …”
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