Application of Improved LSTM Model in Runoff Simulation in Arid Region of Northwest China: A Case Study of the Zuli River by SONG Haiping, TANG Yiran, DANG Wentao, WANG Yibo

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Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

“…At the same time, the model has also been applied to the prediction of other tennis games and even table tennis games. …”
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Current progress in subseasonal-to-decadal prediction based on machine learning by Zixiong Shen, Qiming Sun, Xinyu Lu, Fenghua Ling, Yue Li, Jiye Wu, Jing-Jia Luo, Chaoxia Yuan

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Predicting Olympic Medal Performance for 2028: Machine Learning Models and the Impact of Host and Coaching Effects by Zhenkai Zhang, Tengfei Ma, Yunpeng Yao, Ningjia Xu, Yujie Gao, Wanwan Xia

“…This study develops two machine learning models to predict the medal performance of countries at the 2028 Olympic Games while systematically analyzing and quantifying the impacts of the host effect and exceptional coaching on medal gains. …”
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Septic arthritis score (SAS) – a novel clinical prediction model for the probability of septic arthritis in the adult native knee by Jonas Tverring, Amelia Johansson, Omid Bornaei, Adam Lantz, Oskar Ljungquist

“…We aimed to develop a clinical prediction model for septic arthritis (SA) in the adult native knee. …”
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Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study by Johan Roussel, Zoubeir Lafhaj, Pascal Yim, Thomas Danel, Laure Ducoulombier

“…This article presents a comparative analysis of the performance of various artificial intelligence models for predicting temperature in an industrial building. …”
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Validation of ARISCAT Model Score to Predict Postoperative Pulmonary Complications in Tertiary Referral Hospital in Indonesia by Muhammad Alkaff, Ceva Wicaksono Pitoyo, Aldy Heriwardito, Sukamto Koesnoe

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Predicting Noise and User Distances from Spectrum Sensing Signals Using Transformer and Regression Models by Myke Valadão, Diego Amoedo, André Costa, Celso Carvalho, Waldir Sabino

“…This paper proposes a method for predicting noise levels and distances based on spectrum sensing signals using regression machine learning models. …”
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Factors and risk prediction model for radiotherapy-induced skin injury after breast-conserving surgery by Jian Jiang, Lihua Li, Bo Yang, Wang Xu

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Multi-Model Gait-Based KAM Prediction System Using LSTM-RNN and Wearable Devices by Doyun Jung, Cheolwon Lee, Heung Seok Jeon

“…Specifically, the RMSE for the Multi-model system was 6.84 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">N</mi><mo>·</mo><mi mathvariant="normal">m</mi></mrow></semantics></math></inline-formula>, which is lower than the 8.82 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">N</mi><mo>·</mo><mi mathvariant="normal">m</mi></mrow></semantics></math></inline-formula> of the Single-model system, indicating a better predictive accuracy. …”
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Research and application of prediction model for returning home development population based on machine learning technology by DU Zhao, XIE Guocheng, CHEN Jingxuan, ZHANG Weibin

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A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer's disease onset. by Francis Hane, Carolyn Augusta, Owen Bai

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Early warning prediction of external force destruction in transmission lines based on automatic clustering model by Dayan MA

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Bayesian Dynamic Linear Model with Adaptive Parameter Estimation for Short-Term Travel Speed Prediction by Tai-Yu Ma, Yoann Pigné

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A Human Hepatocyte-Bearing Mouse: An Animal Model to Predict Drug Metabolism and Effectiveness in Humans by Katsutoshi Yoshizato, Chise Tateno

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Short-term prediction network for short-wave MUF based on model-data dual-driven by Junbing LI, Youjun ZENG, Xiaoping ZENG, Guojun LI, Chenxi BAI

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Theoretical Model for Predicting Moisture Ratio during Drying of Spherical Particles in a Rotary Dryer by F. T. Ademiluyi, M. F. N. Abowei

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Critical evaluation of feature importance assessment in FFNN-based models for predicting Kamlet-Taft parameters by Yoshiyasu Takefuji

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Artificial Neural Network (ANN)–Based Prediction Model of Demolding Force in Injection Molding Process by Oluwole Abiodun Raimi, Bong-Kee Lee

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COMBINED HIGH AND LOW CYCLE FATIGUE LIFE PREDICTION MODEL TAKING ACCOUNT OF COUPLED DAMAGE by LIU PengShuai, WANG XiaoWei, HOU Jun

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