Application of an improved pelican optimization algorithm based on comprehensive strategy in PV parameter identification by Xu Yong, Sang Bicong, Zhang Yi

“…Furthermore, this optimization method yields the smallest mean square error across all types of solar cells, demonstrating the superiority of the proposed algorithm.…”
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Enhanced Search Spring Algorithm for Green Agri-Food Supply Chain Network Design by Xiaoya Hu

“…The results show that ESSA is superior to state-of-the-art algorithms. In the benchmark tests, ESSA gained much lower mean fitness values (61% lower than GA and 59% lower than PSO) and execution times (32% lower than PSO execution time). …”
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An Improved AMCL Algorithm Based on Laser Scanning Match in a Complex and Unstructured Environment by Gang Peng, Wei Zheng, Zezao Lu, Jinhu Liao, Lu Hu, Gongyue Zhang, Dingxin He

“…The weighted mean pose of AMCL particle swarm is used as the initial pose of the scan matching process. …”
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Efficient detection technique in a MIMO system using the received signal compensation algorithm by Mahamat Saleh Idriss Mahamat, Luc Eyembe Ihonock, Joseph Salomon V. Tonga Manga, Bakhit Amine Adoum, Ali Mahamoud Ali, Jean-Francois Dikoundou Essiben, Mahamoud Youssouf Khayal, Yong Suk Joe

“…This article proposes a coupling of the algorithm for power compensation of received signals between zero forcing (ZF) and the minimum mean square error (MMSE) associated with the technique of successive interference cancellation (SIC) and a sorting system (Sort) without increasing complexity. …”
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Robust parameter inversion of coal mining subsidence based on the combination of RANSAC and DE algorithms by Yuanfei Chen, Lei Wang

“…To address this issue, this study presents the RANSAC-DE algorithm, which integrates the high precision, efficiency, and global search capabilities of the Differential Evolution (DE) algorithm with the high robustness of the Random Sample Consensus (RANSAC) algorithm. …”
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Multi-strategy improved gazelle optimization algorithm for numerical optimization and UAV path planning by Lu Li, Haonan Zhao, Lixin Lyu, Fan Yang

“…We evaluated MIGOA using the CEC2017 and CEC2020 benchmark test sets, comparing it with GOA and eight other algorithms. The results, validated by the Wilcoxon rank-sum test and the Friedman mean rank test, demonstrate that MIGOA achieves average rankings of 1.80, 2.03, 2.03, and 2.70 on CEC2017 (Dim = 30/50/100) and CEC2020 (Dim = 20), respectively, outperforming the standard GOA and other high-performance optimizers. …”
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GESC-YOLO: Improved Lightweight Printed Circuit Board Defect Detection Based Algorithm by Xiangqiang Kong, Guangmin Liu, Yanchen Gao

“…Experimental results demonstrate that, in contrast to the original YOLOv8n model, the GESC-YOLO algorithm boosts the mean Average Precision (mAP) of PCB surface defects by 0.4%, reaching 99%. …”
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DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects by Lihua Chen, Qi Sun, Ziyang Han, Fengwen Zhai

“…To enable accurate and efficient real-time detection of rail fastener defects under resource-constrained environments, we propose DP-YOLO, an advanced lightweight algorithm based on YOLOv5s with four key optimizations. …”
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Algorithm for non-invasive diagnosis of obliterating coronary atherosclerosis based on imaging and laboratory markers by O. M. Drapkina, V. A. Metelskaya, M. V. Dubinskaya, E. B. Yarovaya

“…Using the ultrasound characteristics of the carotid and femoral arteries and a number of laboratory blood parameters, develop an algorithm for non-invasive diagnosis of coronary atherosclerosis.Material and methods. …”
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Research on lightweight tunnel cable fire recognition algorithm based on multi-scale features by Zimeng Liu, Lei Zhang, Huiqiang Ma, Xuebing Chen, Molin Zhang

“…The training results show that the network’s mean Average Precision (mAP 99%) improved by 0.4% and the FPS (179) improved by 46.7% compared to YOLOv5. …”
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An Adaptive Fusion Path Tracking Strategy for Autonomous Vehicles Based on Improved ACO Algorithm by Jihan Zhang, Yuan Wang, Jinyan Hu, Hongwu You

“…Finally, an improved ACO (IMACO) algorithm is designed by establishing the natural logarithm function to address the blind search problem in the ACO algorithm. …”
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Evaluation of Traditional and Data-Driven Algorithms for Energy Disaggregation Under Sampling and Filtering Conditions by Carlos Rodriguez-Navarro, Francisco Portillo, Isabel Robalo, Alfredo Alcayde

“…This study compared the performance of traditional NILM algorithms (Mean, CO, Hart85, FHMM) and deep neural network-based approaches (DAE, RNN, Seq2Point, Seq2Seq, WindowGRU) under various experimental conditions. …”
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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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An improved SMOTE algorithm for enhanced imbalanced data classification by expanding sample generation space by Ying Li, Yali Yang, Peihua Song, Lian Duan, Rui Ren

“…This study compared the ISMOTE algorithm with seven mainstream oversampling algorithms, using three classifiers on thirteen public datasets from the KEEL, UCI, and Kaggle databases. …”
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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

“…The proposed method achieves a mean Average Precision (mAP) of 10.6% and 13% higher than baseline YOLOv7 and YOLOv5, respectively. …”
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Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…Findings indicate that the genetic artificial hummingbird algorithm-support vector machine outperforms the 13 rivals and the standard support vector machine in the six assessment measures with an accuracy score of 0.9986, precision of 0.9971, f_score of 0.9986, recall of 1, Matthews correlation coefficient of 0.9972, and g_mean of 0.9987. …”
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Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs by Cezary Kownacki, Slawomir Romaniuk, Marcin Derlatka

“…Abstract This study compares different neural networks as standalone control algorithms for position and trajectory tracking in holonomic UAVs, specifically quadcopters. …”
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New Energy Regional Power Prediction Algorithm Based on Statistical Upscaling in Ningbo Region by Wei WANG, Bo WANG, Jun ZHANG, Chunliang LU, Xu HE

“…It is found that the MI-mRMR-A-CS-4 and MI-mRMR-D-CS-9 algorithms have low prediction errors with their monthly root mean square error being 8.51% and 7.64% respectively. …”
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Hydroponic Chinese flowering cabbage detection and localization algorithm based on improved YOLOv5s. by Zhongjian Xie, Yaya Zhang, Weilin Wu, Yao Xiao, Xinwei Chen, Weiqi Chen, ZhuXuan Wan, Chunhua Lin

“…The experimental results showed that P-YOLOv5s-GRNF increased the mAP(mean average precision) by 0.8%, 4.3%, 3.2%, 0.7%, 19.3%, 9.8%, 3.1% compared to mainstream object detection algorithms YOLOv5s, YOLOv6s, YOLOv7-tiny, YOLOv8s, YOLOv5s-Shufflenetv2, YOLOv5s-Mobilenetv3, YOLOv5s-Ghost, respectively. …”
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Handwritten Words Image Character Extraction Adaptive Algorithm Based on the Multi-branch Structure by GUO Xiaojing, ZHAO Xiaoyuan, ZOU Songlin

“…This study applies a new method of multi-branch convolution, the Re-parameterized and Multi-branch Convolution Algorithm (RMCA), to enhance the recognition of complex structures and similar words, improving mean average precision (MAP) and identification efficiency. …”
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