Synchronous End-to-End Vehicle Pedestrian Detection Algorithm Based on Improved YOLOv8 in Complex Scenarios by Shi Lei, He Yi, Jeffrey S. Sarmiento

“…Based on the above background, this paper proposes a synchronous end-to-end vehicle pedestrian detection algorithm based on improved YOLOv8, aiming to solve the detection problem in complex scenes. …”
Get full text

A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention by Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian

“…Background Aiming at the problems of complex and diverse field symptoms of citrus Huanglong disease (HLB), low efficiency and insufficient recognition accuracy of traditional detection methods, this study proposes an efficient detection algorithm based on improved You Only Look Once (YOLO)v8. …”
Get full text

Furniture design based on image color extraction algorithm by Binglu Chen, Guanyu Chen, Qianqian Hu

“…With the increasing demand for personalized and customized home products, how to realize the innovative design of furniture and improve the design efficiency has become a research hotspot for related professionals. Aiming at these problems, the study extracts the main color of furniture images by optimizing the K-mean clustering algorithm, uses the simulated annealing algorithm to color-match the furniture, and reconstructs the image by edge detection to design a furniture design method based on image color extraction. …”
Get full text

Improved fish swarm algorithm based on chaos and its application in abnormal detection of industrial control network by Yaping WU, Hongzhao DONG, Yingying LIN, Jing LIU

“…Artificial fish swarm algorithm as a new type of bionic swarm intelligence optimization algorithm has been successfully used in a variety of optimization problems and practical engineering field,but when faced with the complex optimization problems,especially the multiple extreme value of peak and multimodal function optimization problems,due to the objective function has many local minima,inevitably there are defects such as premature and slow convergence speed.The random and ergodic theory was introduced into the basic artificial fish swarm algorithm,and an improved algorithm was constructed to make artificial fish swarm search avoid possible local extremum.The effectiveness of the algorithm was validated in the simulation application in industrial control network anomaly detection.Compared with the basic artificial fish school algorithm,the chaos improved artificial fish swarm algorithm can effectively avoid the long-term search of the algorithm near the local extreme value.The algorithm has better performance in terms of global convergence and the search efficiency is more prominent.…”
Get full text

Proposing Lane and Obstacle Detection Algorithm Using YOLO to Control Self-Driving Cars on Advanced Networks by Phat Nguyen Huu, Quyen Pham Thi, Phuong Tong Thi Quynh

“…The paper mentions two main problems, namely, lane detection and obstacle detection (road signs, traffic lights, vehicles ahead, etc.) through image processing algorithms. …”
Get full text

Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms by Hossam M. J. Mustafa, Masri Ayob

“…Hence, this paper proposes an enhanced connectivity measure based on the outlier detection approach for multi-objective data clustering problems. …”
Get full text

Defect Detection in the DR Images of Aluminum and Magnesium Alloy Castings Based on the Improved YOLOv8 Algorithm by Mingfei CHEN, Shuai TIAN

“…Existing algorithms can miss detecting small target defects owing to the complex background structure and noise in the DR images of aluminum and magnesium alloy castings. …”
Get full text

Design of intelligent detection method for electricity transmission line equipment defect based on data mining algorithm by Xiang Yin, Ya Zuo, Gaoshan Fu

“…In order to find the problems in the electricity transmission line in time, this paper applied the data mining algorithm to the intelligent detection method of electricity transmission line equipment defects. …”
Get full text

A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images by Shilong Zhou, Haijin Zhou, Lei Qian

“…Abstract Detecting small objects in complex remote sensing environments presents significant challenges, including insufficient extraction of local spatial information, rigid feature fusion, and limited global feature representation. …”
Get full text

Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm by Alaa O. Khadidos, Ayman Yafoz

“…The DL-based methods remove the features autonomously and classify and detect the objects. This paper proposes a novel Object Detection Model for Visually Impaired Individuals with a Metaheuristic Optimization Algorithm (ODMVII-MOA) technique. …”
Get full text

Research on Lightweight Open-Pit Mine Driving Obstacle Detection Algorithm Based on Improved YOLOv8s by Bo Xu, Wubin Xu, Bing Li, Hanwen Zhang, Yuanbin Xiao, Weixin Zhou

“…In view of the fact that the current obstacle detection algorithm struggles to strike a balance between high precision and real-time performance, and there are problems such as difficulty in model deployment or unsuitability for practical applications, a lightweight open-pit mine driving obstacle detection algorithm based on improved YOLOv8s is proposed, which is committed to improving the driving safety of unmanned engineering machinery in open-pit mines. …”
Get full text

Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…Deep Neural Networks (DNNs) have been widely used to solve complex problems in natural language processing, image classification, and autonomous systems. …”
Get full text

IDS alert clustering algorithm based on chaotic particle swarm optimization by Xiao-bo XU, Qin-qin JIANG, Kang-feng ZHENG, Bin WU, Yi-xian YANG

“…The CPSO algorithm could overcome the problem of premature and local opti-mization, and take the center of cluster to find the global optimal solution. …”
Get full text

Adaptive SOM-GA Hybrid Algorithm for Grasping Sequence Optimization in Apple Harvesting Robots: Enhancing Efficiency in Open-Field Orchards by Li Zhang, Zhihui He, Haobin Zhu, Zhanhong Wei, Juan Lu, Xiongkui He

Get full text

Kans-Unet Model and Its Application in Image Patch-Shaped Detection by Xingsu Li, Zhong Li, Jianping Huang, Ying Han, Kexin Zhu, Bo Hao, Junjie Song, Yumeng Huo

“…It is found that a wide range of patch-shaped anomaly regions are distributed in the VLF band power spectrum image of the space ionospheric electric field, and these patch-shaped anomaly regions are effectively detected by using the Kans-Unet model. The experimental results show that the KANs-Unet algorithm exhibits better detection performance compared to current mainstream semantic segmentation algorithms in the task of detecting abnormal speckle areas. …”
Get full text

Application of FMICW technology based on stagger algorithm in automotive radar by Yuanhui ZHANG, Jian YANG, Junjiang ZHU, Xiaolu LI, Yuchen HE

“…The problem of spurious spectral peaks produced by the traditional method of using a single switching frequency in automotive FMICW radar was focused by the proposed scheme.The system accuracy depended on the previously estimated range if a bandpass filter was utilized to eliminate the spurious spectral peaks,and the noise floor could be too high to achieve the required dynamic detection range if the random interrupted sequence method was utilized.A stagger algorithm based on multiple switching frequencies was used,in which the spurious peaks from the frequency domain could be removed by minimizing each frequency position on multiple spectrums.Simulation results show that the proposed method is close to the equivalent FMCW radar detection performance,and is good in multiple targets scenario.…”
Get full text

Change-Point Estimation and Detection for Mixture of Linear Regression Models by Wenzhi Zhao, Tian Cheng, Zhiming Xia

“…This paper studies the estimation and detection problems in the mixture of linear regression models with change point. …”
Get full text

Efficient parallel MAP timing recovery algorithm for TDS-OFDM systems by Yangguang LI, Jianrong BAO, Bin JIANG, Chao LIU

“…According to the problems of the existing timing recovery algorithm with the time-domain orthogonal frequency division multiplexing (TDS-OFDM) modulation in the wireless multimedia transmissions of 5G communications,such as slow processing speed and big theoretical distance,a parallel MAP timing recovery algorithm was proposed.Specifically,the Lagrangian interpolation was used and the amplitude and polarity change of the optimal sampling points were extracted to detect the timing error efficiently.Meanwhile,with the parallel maximum a posteriori (MAP) criterion,the timing error estimate was obtained at high speed.The simulation results show that the accuracy of the proposed algorithm is improved,when comparing with the existing MM algorithm,Gardner algorithm and others.The estimation result is very close to the MAP timing recovery algorithm,the difference is about 2 dB.…”
Get full text

Fault location and isolation technology for power grid automation based on intelligent algorithms by Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang

“…Conclusion This study provides an innovative method of power grid fault management that employs intelligent algorithms for fault localization and isolation. The use of SVM for fault localization and decision-tree-based fault isolation improves fault detection accuracy while reducing operational delays. …”
Get full text

Multi-keyword partial matching algorithm based on text fragments by LIAO Wei-qi, ZOU Wei

“…A novel multi-keyword partial matching algorithm was also de- signed and realized which could detect the fraction of keywords in data block without re-flow or re-file. …”
Get full text