Research of the Brake Noise Prediction of Wet Brake based on Complex Mode Finite Element Method by Luo Tianhong, Cui Tingqiong, Lu Shiqiu, Li Deshan

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Calculation of Sensitivity and Specificity from Partial Data for Meta-Analyses: Introducing Some Practical Methods by Reihanesadat Khatami, Mohammadsadegh Faghihi, Hannanesadat Khatami, Mahmoud Yousefifard, Seyedhesamoddin Khatami

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Application of Fully Connected Neural Network-Based PyTorch in Concrete Compressive Strength Prediction by Xuwei Dong, Yang Liu, Jinpeng Dai

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Multimodal Collaborative Perception for Dynamic Channel Prediction in 6G V2X Networks by Ghazi Gharsallah, Georges Kaddoum

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Comparative Analysis of Nonlinear Methods for Multivariable Water Level Prediction: The Case Study of the Atrato River by Jackson B. Renteria-Mena, Douglas Plaza, Eduardo Giraldo

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A Blending Ensemble Approach to Predicting Student Dropout in Massive Open Online Courses (MOOCs) by Muhammad Ricky Perdana Putra, Ema Utami

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Strength Prediction of Geopolymer Concrete With Wide-Ranged Binders and Properties Using Artificial Neural Network by Md Merajul Islam, Md Al-Mamun Provath, G. M. Sadiqul Islam, Md Tariqul Islam

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Convolutional neural network prediction of the particle size distribution of soil from close-range images by Enrico Soranzo, Carlotta Guardiani, Wei Wu

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Prediction of Self-Flow Production in Segmented Hydraulic Fractured Horizontal Shale Wells Based on EDFM by Zhang Jianning, Kong Weijun, Li Lifeng, Su Shuzheng, Huang Yao, Zhu Kui, Shi Guoji, Zhang Meidan

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Permeability Predictions for Tight Sandstone Reservoir Using Explainable Machine Learning and Particle Swarm Optimization by Jing-Jing Liu, Jian-Chao Liu

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Predictors of Intensive Care Unit Admission in Red Code Patients in the Emergency Department: A Single-Center Retrospective Observational Study by Erkan Boğa

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A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

“…The model’s robustness was further demonstrated on GRACE-A data (2002–2009, altitude of 450–540 km, avg. 482 km) under magnetically quiet conditions, with the RMSE decreasing from 0.3352 × <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>12</mn></mrow></msup></mrow></semantics></math></inline-formula> kg/m³ to 0.2959 × <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>12</mn></mrow></msup></mrow></semantics></math></inline-formula> kg/m³, indicating improved high-altitude prediction accuracy. …”
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Research on Steering and Suspension–Integrated Control Based on Robust MPC Considering Road Vibration Prediction by Taowen Cui, Shuaiyin Wang, Yuxiang Cao, Bo Li, Can Xu, Jingda Wu

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Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction by Shweta Ashish Koparde, Sonali Kothari, Sharad Adsure, Kapil Netaji Vhatkar, Vinod V. Kimbahune

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Cross-Project Defect Prediction Using Transfer Learning with Long Short-Term Memory Networks by Hongwei Tao, Lianyou Fu, Qiaoling Cao, Xiaoxu Niu, Haoran Chen, Songtao Shang, Yang Xian

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Multi-Sensor Temporal Fusion Transformer for Stock Performance Prediction: An Adaptive Sharpe Ratio Approach by Jingyun Yang, Pan Li, Yiwen Cui, Xu Han, Mengjie Zhou

“…The model also demonstrates superior uncertainty quantification, providing reliable confidence intervals for its predictions. …”
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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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