Fatigue crack growth prediction in 2xxx AA with friction stir weld HAZ properties by A. Tzamtzis, A. T. Kermanidis

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Predictive nomogram for postoperative lower-limb deep vein thrombosis in patients undergoing endoscopic endonasal surgery during hospitalization: a retrospective cohort study by Hai Peng, Ruofei Yuan, Zhe Zhang, Ying Wang, Xingchao Wang, Bo Wang, Peng Li

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First trimester hepatic steatosis index as a predictor of gestational diabetes mellitus: a cohort study in Northwestern China by Xuhui Liu, Xuegang Dai, Zhiru Guo, Rui Ma, Fei Li, Ling Zhang, Yining Liu, Lixia Liang, Jian He, Yanxia Wang

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Risk Prediction and Response Strategies in Corporate Financial Management Based on Optimized BP Neural Network by Meijia Zhai

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Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network by Ying Chen, Ruirui Zhang

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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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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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