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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Modeling and Simulation for Predicting Thermo-Mechanical Behavior of Wafer-Level Cu-PI RDLs During Manufacturing by Xianglong Chu, Shitao Wang, Chunlei Li, Zhizhen Wang, Shenglin Ma, Daowei Wu, Hai Yuan, Bin You

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Development of a nomogram for predicting recurrence of epithelial ovarian cancer involving traditional Chinese medicine treatment by Xiaofeng Chen, Xiaofeng Chen, Xudong Hu, Huanmei Lin, Ziang Li, Baijun Gao, Hongmei Ouyang, Xiangdan Hu, Jing Xiao

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Accuracy of the 'Benish' and 'Developed Benish' Models in Predicting the Probability of Restating Financial Statements in Iran's Economic Environment by Sasan Mehrani, Akbar Rahimipoor

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Leveraging Topic Features in Prediction of Social Network Community Evolutions by Rahman Nahi Abid, Hassan Naderi

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Biochemical Oxygen Demand Prediction Based on Three-Dimensional Fluorescence Spectroscopy and Machine Learning by Xu Zhang, Yihao Zhang, Xuanyi Yang, Zhiyun Wang, Xianhua Liu

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Rapid Damage Assessment and Bayesian-Based Debris Prediction for Building Clusters Against Earthquakes by Xiaowei Zheng, Yaozu Hou, Jie Cheng, Shuai Xu, Wenming Wang

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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

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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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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

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From Data to Diagnosis: Machine Learning Revolutionizes Epidemiological Predictions by Abdul Aziz Abdul Rahman, Gowri Rajasekaran, Rathipriya Ramalingam, Abdelrhman Meero, Dhamodharavadhani Seetharaman

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Prediction of the Electricity Demand in the Market: An Application of Optimization and Machine Learning by Ahmed Majed Althahabi, Hassan Mohammed Abed, Raed Khalid, Abrar Ryadh, Ali Al Mansor, Kadhum Al-Majdi, Adil Abbas Alwan

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Real-time monitoring to predict depressive symptoms: study protocol by Yu-Rim Lee, Jong-Sun Lee

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Time series prediction for monitoring cardiovascular health in autistic patients by Congsha Ma, Ming Lei

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Comparison of Three Computational Tools for the Prediction of RNA Tertiary Structures by Frank Yiyang Mao, Mei-Juan Tu, Gavin McAllister Traber, Ai-Ming Yu

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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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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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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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Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method by Yifei Wang, Qihui Hu, Xuefeng Zhao, Buze Yin, Lan Meng, Xin Ouyang, Siqi Cong, Chaofei Nie, Yaqi Guo, Yuxing Li

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A glutamine metabolish-associated prognostic model to predict prognosis and therapeutic responses of hepatocellular carcinoma by Hao Xu, Hui Pan, Lian Fang, Cangyuan Zhang, Chen Xiong, Weiti Cai

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