Coalmine image super-resolution reconstruction via fusing multi-dimensional feature and residual attention network by Jian CHENG, Lifei MI, Hao LI, Heping LI, Guangfu WANG, Yongzhuang MA

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Investigating the tensile cracking mechanisms of rock masses containing random fissures from the perspective of meshless numerical method by Jinyu Chen, Yi Sun, Yi Sun, Wei Li, Bufan Zhang, Shuyang Yu

“…This paper focuses on the tensile cracking mechanisms of rock masses containing random fissures and conducts research based on the meshless numerical method. In view of the shortcomings in traditional research on rock crack propagation, such as the difficulty of experiments in reflecting stress changes, the inapplicability of theoretical research to complex geometric conditions, and the limitations of existing numerical simulation methods, this paper proposes an improved Smooth Particle Hydrodynamics (SPH) method. …”
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Assessing cross-boundary wildfire hazard, transmission, and exposure to communities in the Italy-France Maritime cooperation area by Michele Salis, Liliana Del Giudice, Fermin Alcasena-Urdiroz, Roghayeh Jahdi, Bachisio Arca, Grazia Pellizzaro, Carla Scarpa, Pierpaolo Duce

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Transport Capacity Maximization in Rail Mass Transit Stations Under Uncertainty by Adrian Fernandez-Rodriguez, Maria Dominguez, Asuncion P. Cucala, Antonio Fernandez-Cardador

“…At the upper level, a genetic algorithm determines the optimal sequence of train services and platform assignments. …”
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Prediction of the Charging Probability of Electric Vehicles with Different Power Levels by Wei Zeng, Jun-Jie Xiong, Xin Li, Xiang-Yu Liu, Zhao-Xia Xiao

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A Blockchain Network Communication Architecture Based on Information-Centric Networking by Yufei Zhou, Rui Han, Yang Li

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Interpretable Machine Learning for Multi-Energy Supply Station Revenue Forecasting: A SHAP-Driven Framework to Accelerate Urban Carbon Neutrality by Zhihui Zhao, Minjuan Wang, Jin Wei, Xiao Cen, Shengnan Du, Ziwen Wu, Huanying Liu, Weiqiang Wang

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LAX phases: A family of novel stable layered materials, informatics‐based discovery by Ehsan Alibagheri, Mohammad Khazaei, Mehdi Estili, Alireza Seyfi, Hiroshi Mizoguchi, Kaoru Ohno, Hideo Hosono, S. Mehdi Vaez Allaei

“…Advanced techniques for predicting the crystal structure of materials, coupled with data‐driven materials research and machine learning algorithms, were employed to investigate the stable structures containing transition metals from the last groups of the d‐block elements. …”
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A modular and adaptable approach for automated morphological feature extraction in meibography images by Itziar Fernández, Andrea Novo-Diez, María J. González-García

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Streamlining ICI Transformed as a Nonnegative System by David Hyland

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Modeling and Verification of A Novel Vector Hysteron Model by Kai DENG, Yongjian LI, Hao CHENG, Xuehai GONG, Fuyao YANG

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Applications of Multi-Robotic Arms to Assist Agricultural Production: A Review by Xiaojian Gai, Chang Xu, Yajia Liu, Qingchun Feng, Shubo Wang

“…This paper summarizes the key technologies used in current research, including heuristic algorithms, fast search rapidly exploring random trees, reinforcement learning algorithms, etc., and focuses on reviewing the present applications of cutting-edge reinforcement learning algorithms in agricultural robotic arms. …”
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Embedding Moving Baseline RTK for High-Precision Spatiotemporal Synchronization in Virtual Coupling Applications by Susu Huang, Baigen Cai, Debiao Lu, Yang Zhao, Miao Zhang, Linyu Shang

“…To further enhance synchronization performance, a decentralized distributed synchronization algorithm was introduced, reducing communication overhead and improving real-time responsiveness. …”
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Apply Ridge Regression Model to Predict the Lateral Velocity Difference of Tight Reservoirs by HAN Longfei, ZHANG Yongfei, WANG Miaomiao, LI Yu

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Dam Deformation Data Preprocessing with Optimized Variational Mode Decomposition and Kernel Density Estimation by Siyu Chen, Chaoning Lin, Yanchang Gu, Jinbao Sheng, Mohammad Amin Hariri-Ardebili

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Optimizing urban infrastructure resilience: Analyzing cascading failures and critical node dependencies through multilayer network models by Cong Lu, Jianjun She, Hezhi Pan, Zihao Guo, Xuanling Zhou, Zhijian Li

“…Utilizing the implicit interdependency model, we construct a multilayer network that delineates interconnections and dependencies across infrastructure sectors. The PageRank algorithm is used to identify critical nodes by evaluating their network centrality, thereby highlighting key components within the system. …”
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Application of CBERS-04 IRS data to land surface temperature inversion: A case study based on Minqin arid area by Lu Zhao, Wang Daqing, Zhang Hongjun, Shi Yue, Huang Yong, Wang Yi, Yu Dehao, Xu Haoli, Cheng Zijian, Zhao Jiazheng, Lian Xiaoying

“…Three methods such as the radiative transfer equation method (RTE), the mono-window algorithm (MWA), and the single channel algorithm (SC) were used to retrieve land surface temperature in the Minqin arid area in this research. …”
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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

“…Consequently, Emperor Penguins Colony (EPC) optimization algorithm was also employed for selecting the essential features, which reduces the data dimensionality and assists the predictive algorithm to focus on important features in its training phase. …”
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Satellite observation mission planning issues: hotspots and trends analysis by WANG Yi, LIU Desheng, LIU Jiatong, YANG Yang, HU Qinying

“…First of all, by using science knowledge mapping tool CiteSpace, the visualization analysis of keywords in this field is carried out, drawing a conclusion that the main hotspots are distributed collaboration mission planning methods and planning solving algorithms. Then, the researches on these two issues are respectively discussed. …”
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Urban agglomeration transportation resilience: evaluation and evolution analysis using a data-driven model by Zihao Guo, Xuanling Zhou, Cong Lu, Shixin Li, Yunlong Zhu, Yinhang Liu, Zhijian Li

“…Building on this, this research further investigates the evolving characteristics and patterns of urban transportation resilience, aiming to provide valuable insights for resilience research and strategic planning in urban transportation. …”
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