Node optimization coverage method under link model in passive monitoring system of three-dimensional wireless sensor network by Zhanjun Hao, Nanjiang Qu, Xiaochao Dang, Jiaojiao Hou

“…In the process of optimal coverage, the traditional genetic algorithm and particle swarm optimization algorithm are introduced and improved. …”
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Location of the Voltage Sag Source Based on Negative Sequence Power Flow by WEN Lei

“…Voltage sag is a severe problem of dynamic power quality problem. Voltage sag source location is the important basis for detecting weak part and solving the responsibility’s problems between customers and suppliers. …”
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In situ fully vectorial tomography and pupil function retrieval of tightly focused fields by Xin Liu, Shijie Tu, Yiwen Hu, Yifan Peng, Yubing Han, Cuifang Kuang, Xu Liu, Xiang Hao

“…When combined with our decoding algorithm, this strategy mitigates the imperfections in the detection path. …”
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Observability-Based Gaussian Sum Cubature Kalman Filter for Three-Dimensional Target Tracking Using a Single Two-Dimensional Radar by Haonan Jiang, Yingjie Zhang, Xiaotong Wang, Yuanli Cai

“…Built within the Gaussian sum framework and based on the height-parameterized strategy, this novel algorithm uses a set of independent fifth-degree cubature Kalman filters, each of which can detect the system observability variation and enhance the tracking accuracy by using a Gaussian splitting scheme under low-degree observability. …”
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Current Tasks in Identifying Invalid Events in Critical Information Infrastructure by D. A. Evdokimova, A. A. Mikryukov

“…Approaches to identifying invalid events in CII have been analyzed. Problems related to large data volumes, the complexity of event processing, the considerable time required for their detection, and technological limitations were considered. …”
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Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering by Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan

“…The results show that the Manhattan algorithm performs better in medical contexts, particularly for detecting positive cases, with a recall of 0.57 and an F1-score of 0.695, although it has a slightly lower precision of 0.88. …”
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Swin‐YOLOX for autonomous and accurate drone visual landing by Rongbin Chen, Ying Xu, Mohamad Sabri bin Sinal, Dongsheng Zhong, Xinru Li, Bo Li, Yadong Guo, Qingjia Luo

“…GPS‐based methods will not work in places where GPS signals are not available; multi‐sensor combination navigation is difficult to be widely used because of the high equipment requirements; traditional vision‐based methods are sensitive to scale transformation, background complexity and occlusion, which affect the detection performance. In this paper, we address these problems and apply deep learning methods to target detection in the UAV landing phase. …”
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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…Important characteristics of obstacle detection and avoidance algorithms include convergence, computation time, and memory requirements in the system. …”
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Transfer Learning of High-Dimensional Stochastic Frontier Model via Elastic Net by Jiahao Chen, Wenjun Chen, Yunquan Song

“…When the transferable source is unknown, this paper designs a corresponding algorithm to detect the transferable source. Finally, the effectiveness of the method is proved by simulation experiments and actual cases.…”
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Fault Location on Radial Distribution Systems Using Wavelets and Artificial Neural Networks with a New Data Processing Feature by NERI Jr., A. L., MOREIRA, F. A., de SOUZA, B. A.

“…Under permanent fault conditions, maintenance crew has the duty to detect the problem, repair the defect and recover the power supply system. …”
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Study on water quality analysis and early-warning technology based on rough set and evidence theory by ZHU Qiong-yao, ZHANG Guang-xin, FENG Tian-heng, HUANG Ping-jie, HOU Di-bo

“…Aiming to treat these problems, a new method for a water monitoring system is needed to study on.In this study, the rough set and Dempster-Shafer (D-S) evidence theories were researched, and the water quality analysis and early-warning algorithm based on rough set and D-S evidence theories were presented. …”
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CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

“…The optical flow algorithm (OF) is one the main methods for calculating image velocity field and has many applications in space weather. …”
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3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition by Binbin Wang, Tingli Su, Xuebo Jin, Jianlei Kong, Yuting Bai

“…This paper used an optimal gait recognition algorithm to improve the accuracy of gait detection. …”
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Title not available by Flinth, Axel, de Gournay, Frédéric, Weiss, Pierre

“…We propose an adaptive refinement algorithm to solve total variation regularized measure optimization problems. …”
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Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network by Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

“…Using the retrieved attributes, a Weighted Naive Bayes Classification (WNBC) detected masks in the images. Additionally, a deep neural network-based, the faster Region-Based Convolutional Neural Networks (R-CNN) algorithm combined with Adaptive Galactic Swarm Optimization (AGSO) is being used to identify appropriate and incorrect face mask wear in images, as well as to monitor social distancing among individuals in crowded areas. …”
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Widefield ultra-high-density optical breast tomography system supplementing x-ray mammography by Miguel Mireles, Edward Xu, Morris Vanegas, Ailis Muldoon, Rahul Ragunathan, Shijie Yan, Bin Deng, Jayne Cormier, Mansi Saksena, Stefan A. Carp, Qianqian Fang

“…The OMCI system utilizes large field-of-view structured light illumination and single-pixel-camera based detection techniques to produce ultra-high spatial sampling density while ensuring that the inverse problem remains compact via the development of a unique target-adaptive pattern optimization technique to achieve compressive-sensing based measurements. …”
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Semi-automated annotation for video-based beef cattle behavior recognition by Zhiyong Cao, Chen Li, Xiujuan Yang, Shuai Zhang, Ling Luo, Hao Wang, Hongbo Zhao

“…Data annotation was automated using the YOLOv8 target detection model and the ByteTrack multi-target tracking algorithm to annotate each beef cow’s coordinates and identity codes. …”
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Back pain in therapeutic practice by N. A. Varavin, А. L. Vertkin

“…The article considers the standard of examination with the participation of therapists, general practitioners, offers a specially developed algorithm for managing patients with back pain. The formation of the skills of curation of patients with back pain by primary outpatient physicians is necessary for the appointment of a full-fledged complex of therapy in case of its non-specific nature and timely referral to a specialist in case of specific reasons for its detection. …”
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Anytime Optimal Trajectory Repairing for Autonomous Vehicles by Kailin Tong, Martin Steinberger, Martin Horn, Selim Solmaz, Daniel Watzenig

“…Our paper introduces a groundbreaking approach by formulating an optimal trajectory repairing problem and proposing an innovative and efficient framework for critical timing detection and trajectory repairing. …”
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Improving Electrical Distance Accuracy for Cable Fault Location Based on the Prony Method by Xiang Ren, Zhiqiang Feng, Kai Zhou, Xueming Zhou, Jianjun Yuan, Yefei Xu, Li Zhang

“…In recent years, the cable fault detection method centered on the traveling wave method has been widely used. …”
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