Hierarchical Swarm Model: A New Approach to Optimization by Hanning Chen, Yunlong Zhu, Kunyuan Hu, Xiaoxian He

“…This paper presents a novel optimization model called hierarchical swarm optimization (HSO), which simulates the natural hierarchical complex system from where more complex intelligence can emerge for complex problems solving. …”
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The Application and Research of the GA-BP Neural Network Algorithm in the MBR Membrane Fouling by Chunqing Li, Zixiang Yang, Hongying Yan, Tao Wang

“…So this paper used genetic algorithm to optimize the initial weights and the threshold of BP neural network and established the membrane fouling prediction model based on GA-BP network. …”
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A Study of Multi-distributed Resource Equalization Allocation for Virtual Power Plants Based on Genetic-heuristic Algorithm by Haifeng Li, Tao Jin, Xian Xu, Lin Shi

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Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…First, data enhancement is implemented in the training strategy to ensure the model’s efficient learning and generalization ability in complex environments; then the Coordinate Attention mechanism is introduced to highlight the key features of the image and improve detail detection; Secondly, the Bidirectional Feature Pyramid Network structure is used to optimize the feature fusion and strengthen the information exchange between different layers through bidirectional connectivity; then, the loss function is optimized to improve the bounding box localization accuracy; and finally, the combined with the binocular vision stereo matching algorithm Semi-Global Block Matching to obtain the spatial location information of Kiwifruit. …”
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Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion by Yongjun Qi, Hailin Tang, Altangerel Khuder

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Research on a Streamlined Causal Tree Algorithm Based on Factor Space Theory by Kaile Lin, Fanhui Zeng, Xiaotong Liu, Ying Wang, Kaijie Zhang

“…In order to better reduce the size of causal trees and improve the classification accuracy, based on factor space theory and aiming at the elimination of noise and special samples in the dataset using the extension decision degree criteria, the conditional factor corresponding to the optimal extension decision degree is used as the branch node of the tree, and the abnormal state object is removed from the conditional factor, recurring to obtain the streamlined causal tree algorithm. …”
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Small object detection algorithm based on improved YOLOv10 for traffic sign by Yukang Zou, Scarlett Liu

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Hybrid Crow Search Algorithm–LSTM System for Enhanced Stock Price Forecasting by Chang-Long Jiang, Yi-Kuang Tsai, Zhen-En Shao, Shih-Hsiung Lee, Cheng-Che Hsueh, Ko-Wei Huang

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An industrial carbon block instance segmentation algorithm based on improved YOLOv8 by Runjie Shi, Zhengbao Li, Zewei Wu, Wenxin Zhang, Yihang Xu, Gan Luo, Pingchuan Ma, Zheng Zhang

“…Abstract Automatic cleaning of carbon blocks based on machine vision is currently an important aspect of industrial intelligent applications. The recognition of carbon block types and center point localization are the core contents of this task, but existing instance segmentation algorithms perform poorly in this task. …”
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SLAM Algorithm for Mobile Robots Based on Improved LVI-SAM in Complex Environments by Wenfeng Wang, Haiyuan Li, Haiming Yu, Qiuju Xie, Jie Dong, Xiaofei Sun, Honggui Liu, Congcong Sun, Bin Li, Fang Zheng

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LSTM-DQN-APF Path Planning Algorithm Empowered by Twins in Complex Scenarios by Ying Lu, Xiaodan Wang, Yang Yang, Man Ding, Shaochun Qu, Yanfang Fu

“…The algorithm relies on a twin system, integrating multi-sensor fusion technology and Kalman filtering to input obstacle information and UAV trajectory predictions into the DQN, which outputs action decisions for intelligent obstacle avoidance. …”
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User Recruitment Algorithm for Maximizing Quality under Limited Budget in Mobile Crowdsensing by Weijin Jiang, Pingping Chen, Wanqing Zhang, Yongxia Sun, Chen Junpeng, Qing Wen

“…The experimental results show that the recruitment algorithm with known user cost is close to the optimal algorithm, and the recruitment algorithm with unknown user cost is more than 75% of the optimal algorithm result, and the gap tends to decrease as the budget cost increases, compared with other comparisons. …”
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A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture by Guoqing Zhang, Jiandong Liu, Wei Luo, Yongxiang Zhao, Ruiyin Tang, Keyu Mei, Penggang Wang

“…Therefore, drones equipped with this algorithm are expected to make outstanding contributions to the development of precision agriculture through intelligent navigation and obstacle avoidance.…”
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Optimization of high-dimensional expensive multi-objective problems using multi-mode radial basis functions by Jiangtao Shen, Xinjing Wang, Ruixuan He, Ye Tian, Wenxin Wang, Peng Wang, Zhiwen Wen

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Dynamic Updating the Three-Way Regions for the Optimal Rules by Xiaohua Wei, Jiangang Ye, Jin Qian, Qiaowen Deng

“…Experiment results demonstrate that our proposed incremental updating algorithms for the optimal rules can significantly accelerate the knowledge updating.…”
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NAVIGATING THE LANDSCAPE OF INNOVATIVE TECHNOLOGIES IN CONSTRUCTION PROJECT MANAGEMENT: A COMPREHENSIVE REVIEW by Houljakbe Houlteurbe Dagou, Asli Pelin Gurgun Yildiz, Kerim Koc, Handan Kunkcu

“…This study was initiated with thorough investigation to determine the optimal Market Basket Analysis (MBA) algorithms for the Co-Market Intelligent Application using Association Rule Mining (ARM). …”
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Enhancing BVR Air Combat Agent Development With Attention-Driven Reinforcement Learning by Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro

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Energy management in autonomous hybrid electric vehicles: A review by Abid H., Kissaoui M., Raihani A., Zaggaf M.H.

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An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

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Area Coverage Optimization using Networked Mobile Robots with State Estimation by Isaiah Chism, Daniel Plante, Md Suruz Miah

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