Effect of Thermal Treatment on Fractals in Acoustic Emission of Rock Material by Z. Z. Zhang, X. L. Xu, Q. P. Sun, Y. Dong

“…In this paper, AE signals of heated rock samples at different temperature under uniaxial compression were captured, and the correlation fractal dimensions (CFDs) of AE counts series at different stress level were calculated using Grassberger-Procaccia algorithm. The temperature effect on AE fractal behavior was revealed. …”
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Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

“…This shows that the model has successfully achieved the goal of lightweight while improving detection accuracy, and has broad application prospects.…”
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Single-Glazed Vacuum Tube Collector with SnAl₂O₃ Selective Flat Absorber Plate and Gravity Single-Stage Direct Water Flow: A Comprehensive Geometric Optimizat... by Aleksandar Nešović, Robert Kowalik

“…The results showed that the useful heat power has an increasing trend if the flat absorber plate width increases, while the thermal efficiency has a decreasing trend. …”
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Research on Numerical Calculation Methods for Modelling the Dynamics of Diesel Engine Crankshaft System Substructures by Zhongxu Tian, Zengbin Sun, Yun Zhou, You Zhou

“…A numerical method for free vibration analysis is developed using Cholesky decomposition and Jacobi iteration, while a dynamic response is computed based on the Newmark-β implicit integration algorithm. …”
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Prediction and Optimization for Multi-Product Marketing Resource Allocation in Cross-Border E-Commerce by Yi Xie, Heng-Qing Ye, Wenbin Zhu

“…The minimum-cost flow algorithm consistently outperforms the greedy approach, especially in large-scale instances. …”
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Advanced analysis of defect clusters in nuclear reactors using machine learning techniques by Shuai Ren, Xinyu Zhang, Huizhao Li, Changjun Hu, Dandan Chen

“…The contributions of this study are as follows: (1) Integration of a large-scale molecular dynamics (MD) dataset generated by cascade collisions and the application of machine learning (ML) techniques to investigate point defects and their clusters in reactor pressure vessel (RPV) materials; (2) Proposal of a novel clustering method based on physical characteristics, enabling efficient classification of defect clusters while effectively reducing data noise; (3) Development of a component-based defect cluster configuration recognition method using a dual-pointer lattice-filling technique, accurately capturing all defects and identifying several cluster morphologies observed in experiments; (4) Demonstration of the algorithm’s outstanding performance in handling systems containing millions of atomic coordinates, showcasing its scalability and robustness; (5) Visualization of the three-dimensional spatial distribution of defect clusters and provision of two-dimensional spatial density distribution maps for vacancy clusters and interstitial clusters, offering precise characterization of spatial relationships within defect clusters and new insights into the irradiation mechanisms of materials.…”
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Multiobjective optimization of external shading for west facing university dormitories in Kunming considering solar radiation and daylighting by Tong Chen, Liangbin Tan

“…A parametric modeling and simulation approach was adopted, and Pareto-optimal solutions were generated using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Results indicate that a shading configuration with a panel depth of 0.35 m, spacing of 0.27 m, and an upward horizontal tilt of 7° effectively minimizes seasonal fluctuations in solar heat gain while achieving a reasonable trade-off with daylighting. …”
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Land Use Transition and Regional Development Patterns Under Shared Socioeconomic Pathways: Evidence from Prefecture-Level Cities in China by Xiaodong Zhang, Mingjie Yang, Rui Guo, Yaolong Li, Fanglei Zhong

“…This study integrates the population–development–environment model with back propagation (BP) neural networks, a supervised learning algorithm, to analyze how differentiated development trajectories reshape land systems. …”
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Reliance on Russian Federation Energy Imports and Renewable Energy in the European Union by Anca Gabriela Ilie, Marinela Luminița Emanuela Zlatea, Cristina Negreanu, Dan Dumitriu, Alma Pentescu

“…The article divides EU countries into two groups using a clustering algorithm, revealing that Central and Eastern European countries share similar characteristics in terms of their reliance on Russian energy imports and energy mix, while Western European countries show significant variation between group members. …”
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Impact of rainy season on approach trajectories in high-altitude airport terminal maneuvering area: a clustering analysis by Jianxiong Chen, Jingtao Wang, Fan Li, Lin Zou

“…After data preprocessing, a clustering algorithm was used to identify trajectory patterns and detect outlier trajectories. …”
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RIS-assisted anti-spatial aliasing direct localization in NLOS scenarios via spatio-temporal-frequency information fusion by Jingjing Li, Jianhui Wang, Lihao Liu, Weijia Cui, Chunxiao Jian

“…Our proposed approach addresses these challenges through a cost-effective system and proposes a spatio-temporal-frequency information fusion (STFIF) direct localization algorithm that effectively resolves spatial aliasing issues in high-frequency applications. …”
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Multi-objective optimization to manage reservoir water quality and quantity via selective withdrawal and watershed control by Habib Abbasi, Mohammad taghi Aalami, Mohammad Hossein Niksokhan, Leila Malekan

“…Soil and Water Assessment Tool (SWAT) model was linked to a reservoir water quality simulation model (CE-QUAL-W2), the linked watershed-reservoir model was coupled with Multi-Objective Particle Swarm Optimization algorithm (MOPSO) to find the best set of decisions to optimize the reservoir outflow quality and quantity objectives. …”
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End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

“…The upper level focuses on training the power forecasting model, formulated as a combined forecasting problem, while the lower level aims to minimize microgrid operational costs. …”
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Deep Reinforcement Learning Based Transferable EMS for Hybrid Electric Trains by Yogesh Wankhede, Sheetal Rana, Faruk Kazi

“…The DDPG+TL agent consumes up to 3.9% less energy than conventional rule-based EMS while maintaining the battery's charge level within a predetermined range. …”
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Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle by Wenyuan Shao, Jianmin Hu, Yicai Ji, Jun Pan, Guangyou Fang

“…Array sparse optimization reduces the hardware cost of MIMO radar, while virtual aperture and the equivalent phase center (EPC) principle simplify the radar signal model and reduce the computation and complexity of imaging algorithms. …”
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Urban Land-use Features Mapping from LiDAR and Remote Sensing Images using Visual Transformer Network Model by Q. Yuan

“…LiDAR has relatively accurate three-dimensional spatial information, while remote sensing image has rich spectral information. …”
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Effect of Structure on Osteogenesis of Bone Scaffold: Simulation Analysis Based on Mechanobiology and Animal Experiment Verification by Jialiang Li, Zhongwei Sun, Xinyu Wei, Qinghua Tan, Xijing He

“…A tissue regeneration algorithm based on mechanical regulation theory was implemented in this study to evaluate the osteogenesis of classical scaffolds (Gyroid, I-WP, and Diamond). …”
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A Framework for Automatic IT Architecture Modeling: Applying Truth Discovery by Margus Välja, Robert Lagerström, Ulrik Franke, Göran Ericsson

“…We build upon previous research in modeling automation and propose a framework for merging data from multiple sources with a truth discovery algorithm to create multiple IT architecture models. …”
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A blockchain-based access control method for large-scale electronic medical records by Zhen Chu, Wangjie Qiu, Tianyu Lei, Jinchun He, Qinnan Zhang

“…The framework first introduces a real-time access behavior analysis algorithm. It then integrates Ethereum smart contract technology with the RBAC model to construct high-performance, scalable access control contracts. …”
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Sentiment Analysis of Public Satisfaction with the 'INFO BMKG' Application using Naive Bayes, SVM, and KNN by Natasya Aditiya, Pratomo Setiaji, Supriyono Supriyono

“…This research employs three classification algorithms—Naive Bayes, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN)—to categorize user reviews into positive, neutral, or negative sentiments. …”
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