Study of the ternary correlation quantum-behaved PSO algorithm by Tao WU, Xi CHEN, Yu-song YAN

“…The novel algorithm changed the information independent ran-dom processing method of standard QPSO and established internal relations during particles' own experience information, group sharing information and the distance from the particles' current location to the population mean best position using normal copula functions.Then, the method of generating ternary correlation factors was given by using the Cholesky square root formula. …”
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A weighted and distributed algorithm for multi-hop localization by Juan Cota-Ruiz, Rafael Gonzalez-Landaeta, Jose David Diaz-Roman, Boris Mederos-Madrazo, Ernesto Sifuentes

“…Also, under rough initial position estimates, the proposed algorithm achieves root mean square error values less than the radio range of unknown sensors, in average, with only a few iterations.…”
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Application of Genetic Algorithm to Hexagon-Based Motion Estimation by Chih-Ming Kung, Wan-Shu Cheng, Jyh-Horng Jeng

“…The character would help the proposed scheme to search the mean square error closer to the algorithm of full search than those fast algorithms. …”
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Sequentially Modified Gravitational Search Algorithm for Image Enhancement by Ferzan Katırcıoğlu, Uğur Güvenç

“…Each function is run 30 times and the best, mean and median values are obtained. The achieved results are compared with the Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and GSA among the heuristic optimization algorithms. …”
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GOHBA: Improved Honey Badger Algorithm for Global Optimization by Yourui Huang, Sen Lu, Quanzeng Liu, Tao Han, Tingting Li

“…Compared with seven algorithms, the GOHBA achieves the optimal mean value on 14 of the 23 tested functions. …”
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A Suggested Algorithm for Video Motion and Applicate It to Basketball by Basil Thanoon, Abeer Thanoon

“…ActiveX Control is used to display video sequence inside MATLAB6.5 language thorough using Graphical User Interface. Also Root Mean Square Error is adopted as a measure for the adjacent position to the real position of the ball within the video sequence and the position that is found by using algorithm. …”
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Road damage detection based on improved YOLO algorithm by Luyao Ma, Ming Chen

“…Experimental results show that compared to existing methods, this algorithm boosts the retrieval rate by 2.3%, increases the average value by 0.3, and improves the harmonic mean F1 by 0.7 relative to other models. …”
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Algorithms for Increasing the Accuracy of Solid-State Wave Gyroscopes by K. A. Smirnov, E. A. Zarubailo

“…The use of the developed algorithm for reducing the instability of the zero-velocity signal allowed its root-mean-square deviation at startup to be decreased by 76.4 %. …”
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Dust detection algorithm based on improved YOLOv5 by Qinghua CHEN, Junwei ZHANG, Yingsong CHENG, Xu ZHANG, Jianhua CHENG

“…Finally, ablation experiments and comparative experiments were designed to verify the effectiveness of the improved algorithm. The experimental results show that the mean Average Precision (mAP) of the improved algorithm can reach 92.11% and the detection speed reaches 37 frames persecond.…”
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Flower fertilization optimization algorithm with application to adaptive controllers by Hazim Albedran, Shaymaa Alsamia, Edina Koch

“…Abstract This article presents the Flower Fertilization Optimization Algorithm (FFO), a novel bio-inspired optimization technique inspired by the natural fertilization process of flowering plants. …”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…Monitoring marine life through underwater object detection technology serves as a primary means of understanding biodiversity and ecosystem health. …”
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Adversarial patch defense algorithm based on PatchTracker by Zhenjie XIAO, Shiyu HUANG, Feng YE, Liqing HUANG, Tianqiang HUANG

“…The application of deep neural networks in target detection has been widely adopted in various fields.However, the introduction of adversarial patch attacks, which add local perturbations to images to mislead deep neural networks, poses a significant threat to target detection systems based on vision techniques.To tackle this issue, an adversarial patch defense algorithm based on PatchTracker was proposed, leveraging the semantic differences between adversarial patches and image backgrounds.This algorithm comprised an upstream patch detector and a downstream data enhancement module.The upstream patch detector employed a YOLOV5 (you only look once-v5) model with attention mechanism to determine the locations of adversarial patches, thereby improving the detection accuracy of small-scale adversarial patches.Subsequently, the detected regions were covered with appropriate pixel values to remove the adversarial patches.This module effectively reduced the impact of adversarial examples without relying on extensive training data.The downstream data enhancement module enhanced the robustness of the target detector by modifying the model training paradigm.Finally, the image with removed patches was input into the downstream YOLOV5 target detection model, which had been enhanced through data augmentation.Cross-validation was performed on the public TT100K traffic sign dataset.Experimental results demonstrated that the proposed algorithm effectively defended against various types of generic adversarial patch attacks when compared to situations without defense measures.The algorithm improves the mean average precision (mAP) by approximately 65% when detecting adversarial patch images, effectively reducing the false negative rate of small-scale adversarial patches.Moreover, compared to existing algorithms, this approach significantly enhances the accuracy of neural networks in detecting adversarial samples.Additionally, the method exhibited excellent compatibility as it does not require modification of the downstream model structure.…”
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Multi-Level Particle System Modeling Algorithm with WRF by Julong Chen, Bin Wang, Rundong Gan, Xuepeng Mou, Shiping Yang, Ling Tan

“…Based on the multi-scale mean-shift clustering algorithm, Adaptive Kernel Density Estimation (AKDE) is introduced to map density to bandwidth, achieving adaptive adjustment of clustering bandwidth while reducing computational resources and improving cloud hierarchy. …”
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Spline shaft hob cutter accuracy increase by the means of theoretical profile approximation by the circle involute section by М. V. Frolov

“…One of the most wide spread and efficient spline shafts manufacturing methods is their cutting by the means of generating process by hob cutters. In this case, hob cutter’s theoretical profile, taking in to account its inadaptability to manufacture, traditionally is approximated by the section(s) of one or two circles. …”
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Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…Compared to existing techniques such as Fuzzy C-means (FCM) and hybrid Self-Organizing Mapping-K-means (SOM-FKM), the proposed method demonstrates statistically significant improvements in tissue segmentation and classification. …”
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Does advancement in marker-less pose-estimation mean more quality research? A systematic review by Shivam Bhola, Shivam Bhola, Hyun-Bin Kim, Hyeon Su Kim, BonSang Gu, Jun-Il Yoo, Jun-Il Yoo

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Revised Harmonious Fuzzy Technique for Solving Fully Fuzzy Multi-Objective Linear Fractional Programming Problems by Maher A. Nawkhass

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A Hybrid Monkey Search Algorithm for Clustering Analysis by Xin Chen, Yongquan Zhou, Qifang Luo

“…Clustering is a popular data analysis and data mining technique. The k-means clustering algorithm is one of the most commonly used methods. …”
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Genetic Algorithm Application for Synthesis and Analysis of Electromechanical Systems by Bohdan Kopchak, Lidiya Kasha

“…Application of genetic algorithm method with the usage of fractional order reference models is an effective means of electromechanical systems transition processes approximation by fractional models as well as the selection of parameters of fractional controllers during their synthesis.…”
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Matrix-qubit algorithm for semantic analysis of probabilistic data by Ilya A. Surov

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