Analysis of crack development in loess deep filled ground based on physical modelling tests by Jingyuan CAO, Jianguo ZHENG, Yongtang YU, Jie CAO

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A quality-of-service-aware dynamic evolution model for space–ground integrated network by Zhuo Yi, Xuehui Du, Ying Liao, Lifeng Cao

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Validation of the early in-vessel phenomenon analysis model of the severe accident analysis code MOSAP by GUO Chao, WU Shihao, ZHAO Chuanqi, ZHANG Yapei, WEI Chao, WU Yingwei

“…BackgroundSevere accident is complex coupling processes involving multiple components, phases, and physical fields, and related research is a complex and challenging systematic engineering project. In recent years, relevant scientific research institutions have placed greater emphasis on the development of integrated analysis codes for severe accident in order to address the issue of program autonomy, and modular severe accident analysis program (MOSAP) is one of them independently developed by Xi'an Jiaotong University, China.PurposeThis study aims to validate the early in-vessel phenomenon analysis model of the self-developed integrated analysis code MOSAP for severe accident.MethodsThe MOSAP code and the internationally recognized severe accident analysis code were used to model and calculate experiments on international standard questions ISP31 and ISP46. …”
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Data-Driven Selection of Decontamination Robot Locomotion Based on Terrain Compatibility Scoring Models by Prithvi Krishna Chittoor, A. Jayasurya, Sriniketh Konduri, Eduardo Sanchez Cruz, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

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A Systematic Review of Continuum Modeling of Skeletal Muscles: Current Trends, Limitations, and Recommendations by Tien Tuan Dao, Marie-Christine Ho Ba Tho

“…Accounting for data uncertainty in skeletal muscle modeling will be also a challenging issue. This review provides, for the first time, a holistic view of current continuum models of skeletal muscles to identify potential gaps of current models according to the physiology of skeletal muscle. …”
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Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms by Yogita Dubey, Yashraj Tarte, Nikhil Talatule, Khushal Damahe, Prachi Palsodkar, Punit Fulzele

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Circulating Current Suppression in Modular Multilevel Converters Based on Hybrid Model Predictive Control by Xin Gu, Wenxuan Zhao, Guozheng Zhang, Xuqing Yao, Xuefeng Jin, Wei Chen, Chen Li

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Optimization and Evaluation of the PEDF System Configuration Based on Planning and Operating Dual-Layer Model by Tianhe Li, Pei Ye, Haiyang Wang, Weiyu Liu, Xinyue Huang, Ji Ke

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Slope Stability Prediction Based on Incremental Learning Bayesian Model and Literature Data Mining by Suhua Zhou, Wenjie Han, Minghua Huang, Zhiwen Xu, Jinfeng Li, Jiuchang Zhang

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A Self-Adaptive Escape Route Planning Model Based on Dynamic Wildfire Information by Hesun Wang, Junhao Sheng, Xindong Li, Hongyang Zhao, Dandan Li

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Study and Simulation Analysis of Vehicle Rear-End Collision Model considering Driver Types by Qiang Luo, Xinqiang Chen, Jie Yuan, Xiaodong Zang, Junheng Yang, Jing Chen

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Device deficiency and degradation diagnosis model of Perovskite solar cells through hysteresis analysis by Zi Shuai Wang, Yidan An, Xingang Ren, Hong Zhang, Zhanfeng Huang, Hin-Lap Yip, Zhixiang Huang, Wallace C. H. Choy

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A Joint Global and Local Temporal Modeling for Human Pose Estimation with Event Cameras by Feifan Du, Zhanpeng Shao, Xueping Wang, Jianyu Yang, Jianhua Dai

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Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining by Yuxin You, Zhen Liu, Xiangchao Wen, Yongtao Zhang, Wei Ai

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Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques by Raymond O. Kene, Thomas O. Olwal

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Flow simulation based on MISO and LSTM models in the Yangtze River-Dongting Lake System by Chenglong Li, Shenglian Guo, Zhen Cui, Xin Xiang

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A Talent Cultivation and Performance Evaluation Model Based on a Fuzzy Control Algorithm by Shanshan Jiang

“…The study suggests a technique to quantify how firms develop and employ talent to address this issue. An algorithm called the fuzzy optimized talent cultivation engine (FOTCE) is introduced to evaluate the effectiveness of talent development. …”
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Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction by Slawomir Koziel, Anna Pietrenko-Dabrowska

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Multiparadigm Modeling Framework to Evaluate the Impacts of Travel Patterns on Electric Vehicle Battery Lifespan by Shubham Agrawal, Srinivas Peeta, Mohammad Miralinaghi

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CIL-LLM: Incremental Learning Framework Based on Large Language Models for Category Classification by WANG Xiaoyu, LI Xin, HU Mianning, XUE Di

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