Leveraging Next‐Generation Satellite Remote Sensing‐Based Snow Data to Improve Seasonal Water Supply Predictions in a Practical Machine Learning‐Driven River Forecast System by Sean W. Fleming, Karl Rittger, Catalina M. Oaida Taglialatela, Indrani Graczyk

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Intelligent Prediction of Refrigerant Amounts Based on Internet of Things by Jincai Chang, Qiuling Pan, Zhihao Shen, Hao Qin

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Prediction and evaluation of residual life of casing with corrosion defects by JIA Aoyin, QIAN Liqin, WANG Jie, YANG Jingwei, WU Yaokun, WEI Mingji

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Correlation and Prediction Analysis of Cyanobacteria with Water Environment Data by Sang-Leen Yun

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Optimizing wireless dynamic charging infrastructure for electric vehicles: A predictive and adaptive framework leveraging decision-dependent uncertainties and renewable energy util... by Yanjia Wang, Xianlong Li, Mohannad Alhazmi, Da Xie, Xitian Wang

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Incorporating Transformers and Attention Networks for Stock Movement Prediction by Yawei Li, Shuqi Lv, Xinghua Liu, Qiuyue Zhang

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Predicting Critical Bicycle-Vehicle Conflicts at Signalized Intersections by Alireza Darzian Rostami, Anagha Katthe, Aryan Sohrabi, Arash Jahangiri

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Explainable artificial intelligence for targeted protein degradation predictions by Francis J. Prael III, Jutta Blank, William C. Forrester, Lingling Shen, Raquel Rodríguez-Pérez

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The Dissolved Oxygen Prediction Method Based on Neural Network by Zhong Xiao, Lingxi Peng, Yi Chen, Haohuai Liu, Jiaqing Wang, Yangang Nie

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Prediction of Mold Spoilage for Soy/Polyethylene Composite Fibers by Chinmay Naphade, Inyee Han, Sam Lukubira, Amod Ogale, James Rieck, Paul Dawson

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Crack-Depth Prediction in Steel Based on Cooling Rate by M. Rodríguez-Martín, S. Lagüela, D. González-Aguilera, P. Rodríguez-Gonzálvez

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The Comprehensive Contributions of Endpoint Degree and Coreness in Link Prediction by Yang Tian, Yanan Wang, Hui Tian, Qimei Cui

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Research of worm-propagation prediction based on stochastic experiment by LIU Ting1, ZHENG Qin-hua1, GUAN Xiao-hong1, QU Yu1, WANG Na1

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Machine learning for active sites prediction of quinoline derivatives by Jie Sun, Zi-Hao Li, Yi-Fei Yang, Shu-Yu Zhang

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Scoring system development for prediction of extravesical bladder cancer by Prelević Rade, Stojadinović Miroslav M., Simić Dejan, Spasić Aleksandar, Petrović Nikola

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Machine learning prediction of pKa of organic acids by Juda Baikété, Alhadji Malloum, Jeanet Conradie

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IGBT Module Lifetime Prediction Technology for Rail Transit by Bin WANG, Lin CAO

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Teamwork without talking: distributed system estimates maintain approximately centralized control of smart urban drainage systems during communications outages by Travis Adrian Dantzer, Branko Kerkez

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Satellite Image Price Prediction Based on Machine Learning by Linhan Yang, Zugang Chen, Guoqing Li

“…For optical imagery, the Bayesian-optimized XGBoost model achieves the best performance (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mo>=</mo><mn>0.9870</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>RMSE</mi><mo>=</mo><mi>$</mi><mn>3.44</mn><mo>/</mo><msup><mi>km</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>NSE</mi><mo>=</mo><mn>0.9651</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>KGE</mi><mo>=</mo><mn>0.8950</mn></mrow></semantics></math></inline-formula>), followed closely by CatBoost (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mo>=</mo><mn>0.9826</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>RMSE</mi><mo>=</mo><mi>$</mi><mn>3.83</mn><mo>/</mo><msup><mi>km</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula>). …”
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Research of worm-propagation prediction based on stochastic experiment by LIU Ting1, ZHENG Qin-hua1, GUAN Xiao-hong1, QU Yu1, WANG Na1

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