Target Tracking Algorithm Based on Adaptive Scale Detection Learning by Dawei Yang

“…In this paper, to better solve the problem of low tracking accuracy caused by the sudden change of target scale, we design and propose an adaptive scale mutation tracking algorithm using a deep learning network to detect the target first and then track it using the kernel correlation filtering method and verify the effectiveness of the model through experiments. …”
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An intelligent algorithm to fast and accurately detect chaotic correlation dimension by Mengyan Shen, Miaomiao Ma, Zhicheng Su, Xuejun Zhang

“…Therefore, it is necessary to propose a fast and intelligent algorithm to solve the above problem. This study implies the distinct windows tracking technique and fuzzy C‐means clustering algorithm to accurately identify the scaling range and estimate the correlation dimension values. …”
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Underground helmet detection algorithm based on improved YOLOv8s by Jiaru YANG, Yinan QIN, Tianxu LI, Han ZHUANG

“…In order to solve the above problems, this study proposes a detection algorithm for underground safety helmets based on improved YOLOv8s, which is called PBSS-YOLOv8. …”
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Robust UAV Target Tracking Algorithm Based on Saliency Detection by Hanqing Wu, Weihua Wang, Gao Chen, Xin Li

“…However, the robustness of existing trackers is still poor when facing complex scenes, such as background clutter, occlusion, camera motion, and scale variations. In response to this problem, this paper proposes a robust UAV target tracking algorithm based on saliency detection (SDBCF). …”
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Overcoming Fairness and Latency Challenges in BBR With an Adaptive Delay Detection by Zewei Han, Go Hasegawa

“…In 2016, Google introduced a new congestion control algorithm called Bottleneck Bandwidth and Round-trip propagation time (BBR). …”
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DCW-YOLO: Road Object Detection Algorithms for Autonomous Driving by Hongge Ren, Fangke Jing, Song Li

“…Aiming at the problems of multiple parameters and poor detection accuracy of object detection network in automatic driving scenarios, an object detection algorithm based on improved YOLOv8 is proposed. …”
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Unveiling the Efficacy of AI-based Algorithms in Phishing Attack Detection by Tajamul Shahzad, Kashif Aman

“…To give the brief knowledge of phishing attacks and their types of the objective of this work is to investigate various AI algorithms. Through a detail literature 14 AI algorithms which are repeatedly used for detection, and these are Random Forests, Convolutional Neural Network, Naïve Bayes, K-Nearest Neighbours algorithm, Decision Trees, long short-term memory, gated recurrent unit, Artificial Neural Network, AdaBoost, Logistic Regression, Gradient Boost, Multi-layer perceptron, Recurrent Neural Network, Extreme gradient boosting, and Support Vector Machine to detect phishing attacks. …”
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Nighttime Vehicle Detection Algorithm Based on Improved YOLOv7 by Fan Zhang

“…Aiming at the problems of low visibility, fuzzy target features and high leakage rate of small targets in nighttime vehicle detection, this paper proposes a nighttime vehicle detection algorithm E-YOLOv7 based on the improved YOLOv7. …”
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Pig Detection Algorithm Based on Sliding Windows and PCA Convolution by Longqing Sun, Yan Liu, Shuaihua Chen, Bing Luo, Yiyang Li, Chunhong Liu

“…In order to solve the problems of low computational efficiency and low precision in pig detection algorithm based on sliding windows, this paper proposed a simple and efficient pig detection algorithm. …”
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Weed detection on embedded systems using computer vision algorithms by D. Shadrin, S. Illarionova, R. Kasatov, M. Akimenkova, G. Rudensky, E. Erhan

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Robotic arm target detection algorithm combined with deep learning by ZHANG Lei, ZHANG Wang, YUAN Yuan

“…To address these problems, an improved YOLOv5 target detection algorithm was proposed. …”
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Improved SOR signal detection algorithm in massive MIMO-TRDMA systems by Mingyue WANG, Fangwei LI, Xiaorong JING, Haibo ZHANG, Junzhou XIONG

“…In the massive multi-input multi-output time-reversal division multiple access (MIMO-TRDMA) systems, the traditional linear minimum mean square error (MMSE) algorithm achieved approximately the best performance.However, the matrix inversion of the MMSE algorithm was too complicated to ensure real-time processing of signal detection.To solve this problem, an improved successive over-relaxation (SOR) signal detection optimization algorithm was proposed.The proposed algorithm reasonably upgraded the solution of linear equations to prevent the complicated calculation of matrix inversion.Meanwhile, the steepest descent idea was used to provide an effective search direction for the SOR signal detection algorithm, achieving a rapid convergence rate and stronger inspection performance.The simulation results show that the proposed algorithm has the similar best performance with fewer update times compared with the traditional MMSE algorithm, and the calculation complexity is reduced from O(M³)to O(²).…”
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Improved SOR signal detection algorithm in massive MIMO-TRDMA systems by Mingyue WANG, Fangwei LI, Xiaorong JING, Haibo ZHANG, Junzhou XIONG

“…In the massive multi-input multi-output time-reversal division multiple access (MIMO-TRDMA) systems, the traditional linear minimum mean square error (MMSE) algorithm achieved approximately the best performance.However, the matrix inversion of the MMSE algorithm was too complicated to ensure real-time processing of signal detection.To solve this problem, an improved successive over-relaxation (SOR) signal detection optimization algorithm was proposed.The proposed algorithm reasonably upgraded the solution of linear equations to prevent the complicated calculation of matrix inversion.Meanwhile, the steepest descent idea was used to provide an effective search direction for the SOR signal detection algorithm, achieving a rapid convergence rate and stronger inspection performance.The simulation results show that the proposed algorithm has the similar best performance with fewer update times compared with the traditional MMSE algorithm, and the calculation complexity is reduced from O(M³)to O(²).…”
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Optimization and Validation of Wafer Surface Defect Detection Algorithm Based on RT-DETR by Ao Xu, Yanwei Li, Hongbo Xie, Rui Yang, Jianjie Li, Jiaying Wang

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The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

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Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

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Position related lightweight Sybil detection approach in VANET by Yan XIN, Xia FENG, Ting-ting LI

“…In VANET,the Sybil attack simultaneously using multiple forged identities can easily cause the injustice of resource usage and make networks in a mess by distributing false messages.To solve this problem,an event-driven lightweight algorithm was proposed,which could identify vehicles false position quickly.When one vehicle appeared inside another's safety zone,a geometrical cross-recognition algorithm to calculate the overlap between vehicles to detect false position claiming was presented.At the same time,according to the neighbors within the confirming vehicle's radio range,position deviation matrix was established further to identify the Sybil node of two overlap vehicles.The performance analysis and simulation results show that the lightweight algorithm driven by safety zone demonstrates fast identification and high detection rate,especially when GPS error is very low.The imported safety zone can also balance the communication load impacting by heavy vehicular density.And the communication processing delay is lower than other approaches.…”
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M-APSK phase detection algorithm and parallel carrier synchronization method by Hao HUAN, Kexue REN

“…In order to realize the precise phase correction of high order modulation in M-APSK modem, the Q-power non-data aided phase detection method recommended by DVB-S2 standard for 16APSK and 32APSK was extended to 64APSK, 128APSK and 256APSK.An improved algorithm was proposed to solve the problem of unstable loop operation when the proportion of constellation points used for phase detection in high-order modulation was low.By using threshold judgment on the amplitude of the received symbol after power normalization, phase detection was performed only when the amplitude was higher than the threshold, and the filter state and phase compensation value were not changed when the amplitude was lower than the threshold, so as to improve the phase detection effectiveness and reliability of constellation points and reduce the lock threshold.Aiming at the problem that the symbol rate of high-speed data transmission was very high but the working clock frequency of the processor was relatively low, a parallel carrier synchronization method for M-APSK was proposed, which could meet the needs of the receiver’s working clock.Compared with the traditional constant coding and modulation (CCM) carrier synchronization loop, the parallel method could also be applied to the frequency tracking of variable coding and modulation (VCM) system.…”
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PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels by Wang Yin, Zhao Jingyong, Xie Gang, Zhao Zhicheng, Hu Xiao

“…However, the rapid growth of PV power deployment also brings important challenges to the maintenance of PV panels, and in order to solve this problem, this paper proposes an innovative algorithm based on PA-YOLO. …”
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Detecting Floating-Point Expression Errors Based Improved PSO Algorithm by Hongru Yang, Jinchen Xu, Jiangwei Hao, Zuoyan Zhang, Bei Zhou

“…The method presented in this paper is based on two insights: (1) treating floating-point error detection as a search problem and selecting reliable heuristic search strategies to solve the problem; (2) fully utilizing the error distribution laws of expressions and the distribution characteristics of floating-point numbers to guide the search space generation and improve the search efficiency. …”
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