Grey-Box Modelling of District Heating Networks Using Modified LPV Models by Olamilekan E. Tijani, Sylvain Serra, Patrick Lanusse, Rachid Malti, Hugo Viot, Jean-Michel Reneaume

“…For a single pipe, the grey-box model achieved a 91.5% fit with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula> value of 0.993 and operated 5 times faster than the reference model. …”
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Intelligent hybrid method to predict generated power of solar PV system by Prashant Singh, Navneet Kumar Singh, Asheesh Kumar Singh

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Data-Driven Method for Probabilistic Response Prediction of Cable-Stayed Bridges by Minsun Kim, Jaebeom Lee, Kyoung-Chan Lee, Jeong Hwan Jang, Young-Joo Lee

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Bayesian Methods for Predicting the Shape of Chinese Yam in Terms of Key Diameters by Mitsunori Kayano, Koki Kyo, Mitsuru Hachiya

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Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow by Arash Rasaizadi, Seyedehsan Seyedabrishami

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Prediction of fracture strength factor for the fracture behavior of 304 stainless steel by Bin Cai, Zhengyang Yu

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Predicting Hospitalization Length in Geriatric Patients Using Artificial Intelligence and Radiomics by Lorenzo Fantechi, Federico Barbarossa, Sara Cecchini, Lorenzo Zoppi, Giulio Amabili, Mirko Di Rosa, Enrico Paci, Daniela Fornarelli, Anna Rita Bonfigli, Fabrizia Lattanzio, Elvira Maranesi, Roberta Bevilacqua

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Context-Aware Trust Prediction for Optimal Routing in Opportunistic IoT Systems by Abdulkadir Abdulahi Hasan, Xianwen Fang, Sohaib Latif, Adeel Iqbal

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Random Forest–Based Coal Mine Roof Displacement Prediction and Application by Hongxia Li, Rong Wu, Jianan Gao

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Prediction of Skid Resistance Value of Glass Fiber-Reinforced Tiling Materials by Sadik Alper Yildizel, Yesim Tuskan, Gökhan Kaplan

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PREDICTION OF CUTTING LOAD OF DRUM SHEARER BASED ON DEEP BELIEF NETWORK by MAO Jun, GUO Hao, CHEN HongYue

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Exposure of perfluorohexane sulfonate alters platelet homeostasis: From epidemiological evidence to mechanistic insights by Juxiao Li, Yue Luo, Xinrong Guo, Wenzheng Zhuo, Li Li, Ming Shi, Juan Ma, Lining Xu, Jiahuang Qiu

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Mapping prediction with recurrent neural networks for future LISP enabled networks by Yue Li, Shuai Guo, Qipeng Song, Yao Wang, Xiaomin Wei, Jianfeng Ma

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Simulation Study to Predict Generation Power of a Vehicle Photovoltaic System by Shiwu Li, Minghao Fu, Xueda Li, Mengzhu Guo, Mingyang Li, Xueping Yao, Bingkui Ji

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A Fractal Approach for Predicting Unsaturated Hydraulic Conductivity of Deformable Clay by Gaoliang Tao, Xueliang Zhu, Jianchao Cai, Henglin Xiao, Qingsheng Chen, Yin Chen

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Predicting Optimum Moisture Content by the individual and hybrid approach of machine learning by Yinghui Yang, Yahui Dai, Qunting Yang

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Prediction of Train Arrival Delay Using Hybrid ELM-PSO Approach by Xu Bao, Yanqiu Li, Jianmin Li, Rui Shi, Xin Ding

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EV charging demand prediction based on city grid attribute division by ZHANG Meixia, XU Licheng, YANG Xiu

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MicroForest: Lightweight Bottleneck Prediction for Manufacturing Processes on Edge Devices by Seungmin Yoo, Chanyoung Oh

“…However, manufacturing environments often lack high-performance computing resources and must rely on cost-effective, resource-constrained embedded devices, making fast and accurate prediction challenging. We present MicroForest, a lightweight decision tree-based model designed to predict multiple process bottlenecks simultaneously under such resource-constrained environments. …”
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Prediction on the Remaining Useful Life of Rolling Bearings Using Ensemble DLSTM by Miao Jiang, Yang Xiang

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