A dynamic predictive model for evaluating the impact of physical and social factors on energy conservation in buildings by Le Na Tran, Anbang Dai

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Research on permanent magnet reduction gear for trams by YING Zhiding, LI Chenxin, LI Yi

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Analysis and Prediction of Landscape Ecological Risk in Yellow River Basin by Du Wentao, Li Xinping, Song Jiawei, Meng Chengzhen, Wang Zhixiao

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EMI Reduction in Grid-Connected Converters Using the Nonlinear Behavior of Multi-Layer Ceramic Capacitors by Yusuf Kosesoy, Henk Huisman, Jan M. Schellekens

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Bifurcation Branch in a Spatial Heterogeneous Predator–Prey Model with a Nonlinear Growth Rate for the Predator by Lei Kong

“…We also proved that the bounded curve is monotone <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="bold">S</mi></semantics></math></inline-formula>-shaped or fish-hook-shaped (⊂-shaped), as the values of the parameters of the model vary; in the latter case, the model has multiple positive steady-state solutions caused by the spatial heterogeneity of the environment.…”
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Deep learning based predictive models for real time accident prevention in autonomous vehicle networks by Ahmed Almutairi, Abdullah Faiz Al Asmari, Fayez Alanazi, Tariq Alqubaysi, Ammar Armghan

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Challenges in developing reliable phosphorus predictive models: Unpredictable release under soil redox changes by Filippo Saiano, Riccardo Scalenghe

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Optimizing the Portuguese wildfire fuel reduction program by Alan Ager, Bruno A. Aparício, José M.C. Pereira

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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

“…Great coaches can bring an average increase of 0.2 to 0.5 medals for each athlete. The proposed models, through an innovative integration of clustering, dimensionality reduction, and predictive algorithms, provide reliable forecasts and data-driven insights for optimizing national sports strategies. …”
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Number of Repetitious States in One Dimensional Hubbard Model: a Density Matrix Renormalization Group Perspective by M. Solaimani

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Pollution and carbon reduction effects of the pilot policy on clean winter heating in Northern China: Evidence from the county level by Yan Chen, Jiaqi Li, Yue Zhang, Fan Yang

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Calculation Model for the Degree of Hydration and Strength Prediction in Basalt Fiber-Reinforced Lightweight Aggregate Concrete by Yanqun Sun, Haoxuan Jia, Jianxin Wang, Yanfei Ding, Yanfeng Guan, Dongyi Lei, Ying Li

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Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy. by Xiaohua Zeng, Changzhou Liang, Qian Yang, Fei Wang, Jieping Cai

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Toward Intelligent Fading Channel Prediction: A Comprehensive Survey by Ramoni Adeogun

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Guided Regularizers for Structured Reduction of Neural Networks by Ali Haisam Muhammad Rafid, Adrian Sandu

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Methods and Algorithms for Predictive Analytics of Time Series in Energy Consumption by Aleksandr Karmanov

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MODELING AS A TOOL FOR PREDICTING THE PRODUCTIVE CAPACITY OF WOOD HARVESTING: APPROACH OF FELLER-BUNCHER AND HARVESTER by Francisco de Assis Costa Ferreira, Cássio Furtado Lima, Luciano José Minette, Roldão Carlos Andrade Lima, Luis Carlos de Freitas, Fernanda Araujo Lima, Lucas Moraes Rufini de Souza, Bruno Leão Said Schettini, Arthur Araújo Silva, Leonardo França da Silva, Pedro Paulo Almeida Junior, Elton da Silva Leite, Leonardo Carneiro Freitas de Oliveira

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Mathematical prediction model for ground vibrations of nearby territories induced by high dam flood discharge by Wenjiao Zhang, Jijian Lian, Fang Liu, Xing Zhao, Chao Liang

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Machine learning for predicting distant metastasis in nasopharyngeal carcinoma patients by Hong Sun, Jijie Zhu, Ling Li, Xiu Xin, Jingchao Yan, Taomin Huang

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Speed Control of PMSM drive using Model Predictive Control Based Field Oriented Control by Sri Charan Vanamala, Kiran Kumar Danduprolu

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