Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling by Dejiang Wang, Bolong Liu, Haili Jiang, Panpan Liu

“…Path planning is a key technology in the automation of construction robots, and its implementation mainly relies on navigation algorithms and the generation of environment maps. However, the original A* algorithm has issues such as not considering dimensional constraints, a high number of turning nodes, and unsmooth paths. …”
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Slope stability prediction under seismic loading based on the EO-LightGBM algorithm by Ning Ma, Ning Ma, Yuqi Zhang, Zaizhen Yao

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A Novel YOLOv10-Based Algorithm for Accurate Steel Surface Defect Detection by Liefa Liao, Chao Song, Shouluan Wu, Jianglong Fu

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Comparison and Prediction of Breast Cancer Using Discriminant Analysis Algorithm in Active and Inactive Women by Leila Fasihi, Hamid Agha-Alinejad, Reza Gharakhanlou, Francisco J. Amaro Gahete

“…Results: The results showed that using 15 risk factors, the differential analysis algorithm has an accuracy of 79.7% and a precision of 77.5% in predicting breast cancer in active women, while it achieved an accuracy of 71.6% and a precision of 69.3% in inactive women. …”
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Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm by Muhammad Haris, Haewoon Nam

“…Additionally, the algorithm’s realworld applicability is evaluated through a smart vehicle simulation, assessing its ability to identify safe and efficient paths while minimizing overall path length. …”
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Estimation and Assessment of Partial Shading Patterns in Large PV Farms Using ANN Algorithm by Efendi S Wirateruna, Mochamad Ashari, Dedet Candra Riawan

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Cybersecure XAI Algorithm for Generating Recommendations Based on Financial Fundamentals Using DeepSeek by Iván García-Magariño, Javier Bravo-Agapito, Raquel Lacuesta

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Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning by Chaoli Tang, Wenyan Li, Tao Han, Lu Yu, Tao Cui

“…For this reason, this paper proposes a Multi-strategy Improved Harris Hawk Optimization (MIHHO) algorithm. First, the double adaptive weight strategy is used to enhance the search capability of the algorithm to significantly improve the convergence accuracy and speed of path planning; second, the Dimension Learning-based Hunting (DLH) search strategy is introduced to effectively balance exploration and exploitation while maintaining the diversity of the population; and then, Position update strategy based on Dung Beetle Optimizer algorithm is proposed to reduce the algorithm’s possibility of falling into local optimal solutions during path planning. …”
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Defect Detection of Gas Insulation Switch by Infrared Thermography Technology With an Improved Yolo Algorithm by Ma Tianci, Chen Xiangping, Li Bo, Bai Jie

“…To address those issues, this study has proposed an infrared thermography-based defect detection method by combing with an enhanced YOLOv7 algorithm for accurate and efficient defect localization identification and depth estimation. …”
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Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing by Andrea Venturi, Mauro Andreolini, Mirco Marchetti, Michele Colajanni

“…The results show that the algorithm using A2C DRL agent outperforms the others because it is more adaptable to unknown hosts and converges faster. …”
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Fast Identification and Detection Algorithm for Maneuverable Unmanned Aircraft Based on Multimodal Data Fusion by Tian Luan, Shixiong Zhou, Yicheng Zhang, Weijun Pan

“…Experimental results demonstrate superior performance with 99.3% mAP@50 (17.4% improvement over baseline YOLOv11), while maintaining lightweight characteristics (2.54M parameters, 7.8 GFLOPS). …”
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Diesel Engine Urea Injection Optimization Based on the Crested Porcupine Optimizer and Genetic Algorithm by Xu Chen, Changhai Ma, Quanli Dou, Shuzhan Bai, Ke Sun, Zhenguo Li

“…Finally, the Nondominated Sorting Genetic Algorithm II (NSGA-II) was used to optimize the urea injection volume for all conditions. …”
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Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State by Fazliddin Makhmudov, Dilmurod Turimov, Munis Xamidov, Fayzullo Nazarov, Young-Im Cho

“…Drowsiness while driving is a major factor contributing to traffic accidents, resulting in reduced cognitive performance and increased risk. …”
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Handwritten Words Image Character Extraction Adaptive Algorithm Based on the Multi-branch Structure by GUO Xiaojing, ZHAO Xiaoyuan, ZOU Songlin

“…Deep convolution layers are known for learning features at different abstraction levels, while lower layers capture more localized details. …”
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RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph by Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng, Tao Hou

“…In order to overcome this defect, a graph convolution neural network algorithm based on rough graph is proposed in this paper. …”
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Detection Algorithm for Air Duct Clamp on Trains Based on RSA-YOLOv10n by WANG Dairong, ZHAO Yuhong, QU Xiaozhang, LIU Yi

“…To address challenges in the detection of air duct clamps due to factors such as dim environments and small objects in train detection, such as insufficient detection accuracy and low detection efficiency, this paper proposes a RSA-YOLOv10n-based detection algorithm, developed utilizing a dataset of air duct clamps collected from trains. …”
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm by Xiu Luo, Zhouxin Yi

“…The multi-objective particle swarm algorithm combines a segmented pulse module and a cloud adaptation module. …”
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Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Youtao Xue, Yuxin Yang, Shaobo Yao, Wenwen Zhao, Lihua Chen

“…This study introduces an SBO framework tailored for Gaussian process regression models, featuring an automatic kernel construction algorithm coupled with a beam search strategy (AKC-GPR). …”
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YOLO-SAG: An improved wildlife object detection algorithm based on YOLOv8n by Lingli Chen, Gang Li, Shunkai Zhang, Wenjie Mao, Mei Zhang

“…This paper proposes a wildlife target detection algorithm based on improved YOLOv8n - YOLO-SAG, which aims to balance accuracy and speed. …”
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Development of algorithms for constructing two-dimensional optimal boundary-adaptive grids and their software implementation by A. E. Chistyakov, V. V. Sidoryakina, S. V. Protsenko

“…It is noted that the use of adaptive grids in calculations makes it possible to improve the accuracy and efficiency of computational algorithms without increasing the number of nodes. This approach is especially efficient when calculating nonstationary problems. …”
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