Intelligent Detection of Underwater Defects in Concrete Dams Based on YOLOv8s-UEC by Chenxi Liang, Yang Zhao, Fei Kang

“…This study proposes a concrete dam underwater apparent defect detection algorithm named YOLOv8s-UEC for intelligent identification of underwater defects. …”
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Ship detection optimization method in SAR imagery based on multi-feature weighting by Quanhua ZHAO, Xiao WANG, Yu LI, Guanghui WANG

“…Aiming at the problem that the accuracy of traditional ship detection algorithms is not satisfying in complex scene with many false alarm targets,a ship detection optimization method in SAR imagery based on multi-feature weighting was proposed.Firstly,the marker-based watershed algorithm was employed to remove land from SAR amplitude image.Then,the CFAR algorithm based on log-normal distribution was used to obtain candidate targets from no land image.Furthermore,the length to width ratio,the ship area and the contrast ratio of the candidate targets were extracted.Finally,a variance coefficient method was proposed to distribute the weight of the three features,and the confidence levels were calculated by combining the normalized feature vectors of the candidate targets with the feature weight.By determining the best confidence level,false alarm targets among the candidate targets were removed to optimize ship detection results.In order to verify the proposed method,experiments were carried on with the GF-3 SAR images of different complex scenes.The experimental results show that the proposed method is feasible and effective.…”
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A feature-based intelligent deduplication compression system with extreme resemblance detection by Xiaotong Wu, Jiaquan Gao, Genlin Ji, Taotao Wu, Yuan Tian, Najla Al-Nabhan

“…We propose a content-defined chunking algorithm for duplicate detection and a Bloom filter-based resemblance detection algorithm. …”
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Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis by Yang ZHANG, Hua PENG, Ke-xian GONG

“…The proposed algorithm, not relying on any prior information, calculated gra-dients of sections for the power spectrum and detected the narrowband signals by adaptive double threshold, which im-proved the stability of wideband spectrum sensing through multi-scale technique. …”
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A Multiobjective Evolutionary Algorithm for Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Sensor Network by Weirong Liu, Gaorong Qin, Shuo Li, Jian He, Xiaoyong Zhang

“…The main objective of the proposed algorithm is to minimize the network energy consumption subjected to constraints on the detection performance by optimally deriving the censoring and sleeping probabilities. …”
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Event‐triggered attack detection and state estimation based on Gaussian mixture model by Lu Jiang, Di Jia, Jiping Xu, Cui Zhu, Kun Liu, Yuanqing Xia

“…Then, inspired by the clustering algorithm in machine learning, a detection mechanism based on Gaussian mixture model, which can set a confidence level for the measurement of each sensor is proposed. …”
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Research on Target-detection and Tracking of Intelligent Mine Trucks in Open-pit Mines by LI Yuanzhengyu, HU Yunqing, LONG Teng, HUANG Wenyu, PAN Wenbo, LI Peijie

“…To ensure the safety of mine trucks on unpaved roads and in dusty environments, it's necessary to improve the efficiency and robustness of targets detection and tracking. This paper proposes a multi-target detection and tracking algorithm based on the fusion of light detection and ranging (LiDAR) and millimeter-wave radar. …”
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Detection and Measurement of Displacement and Velocity of Single Moving Object in a Stationary Background by Amr Reda. R. Almaddah, Tauseef Ahmad, Abdullah Dubai

“…The scale invariant property applied to the Harris algorithm for improving the corner detection performance in different resolution of the same image with the same interest point. …”
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Anomaly detection with domain specific shapelet learning for sucker rod pump system by Xiangyu Li, Zhupei Liao, Chunhua Yuan

“…This paper proposes an unsupervised end-to-end learning algorithm designed for SRPS anomaly detection, denoted Anomaly Detection with Domain-specific Shapelet Learning algorithm (AD-DSL). …”
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Collision Detection and Recovery Control of Drones Using Onboard Inertial Measurement Unit by Xisheng Huang, Guangjun Liu, Yugang Liu

“…The collision detection algorithm compares the expected response of the drone with the measurements from the IMU to identify and characterize collisions. …”
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Generate vector graphics of fine-grained pattern based on the Xception edge detection. by Anqi Chen, Yicui Peng, Meng Li, Hao Chen, Chang Liu, Jinrong Hu, Xiang Wen, Guo Huang

“…We firstly adopt appropriate pre-processing methods, improved adaptive median filtering(IAMF) and non-local mean for the two different types of Qiang embroidery patterns to reduce image noise. Then, the Xception algorithm based on convolutional neural networks(CNNs) is used for edge detection and extraction to generate vector graphics of the patterns. …”
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Target Detection and Image Enhancement for Underwater Environment: Research on Improving YOLOv7 by Yang Luo, Wen Feng

“…Aiming at the common low accuracy and efficiency problems in underwater target detection, this paper designs an innovative algorithm based on the YOLOv7 framework. …”
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Seedling Stage Corn Line Detection Method Based on Improved YOLOv8 by LI Hongbo, TIAN Xin, RUAN Zhiwen, LIU Shaowen, REN Weiqi, SU Zhongbin, GAO Rui, KONG Qingming

“…YOLOv8-G, an improved object detection algorithm that combines YOLOv8 and GhostNetV2 for lightweight, high-speed performance, was used to detect the central points of crops. …”
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Multiple-Signal-Classification for Superior Target Detection in Subarray-MIMO Radar Systems by Selviyani Selviyani, Syahfrizal Tahcfulloh

“…One of the keys to ensuring optimal radar performance in various applications, from security to navigation, is a high target detection probability. This paper uses a multiple-signal-classification (MUSIC) algorithm to increase the detection probability which is implemented on a MIMO radar with subarrays in the transmit (Tx) and receiver (Rx) antenna array elements called the SMIMO radar. …”
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Deep learning and digital twin integration for structural damage detection in ancient pagodas by Sida Xu, Haonan Chen

“…To address these challenges, this paper proposes a detection method that integrates digital modeling with an improved YOLO algorithm. …”
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Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses by Jianbo Li, Hongmei Shi

“…The simulation results show that the proposed detection algorithm can accurately identify rail corrugation, the estimation error of rail corrugation wavelength is less than 0.25%, and the classification accuracy of rail corrugation depth is more than 99%.…”
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Using Mask Technique and Center Detection for Congenital Dislocation of the Hip (CDH) Diagnosis by Nidal AL-Assady, Mafaz Khalil Alanezi, Shahla Ahmad

“…The aim of this study, is the diagnosis of Congenital Dislocation of the Hip (CDH) from routine X-Ray Image by measuring the retardation of the growth center of the head of femur bone in the abnormal joint in comparison with the normal side in cases of unilateral CDH using  Mask Technique and algorithm of Center Detection and measurement. What is new about this study in comparison with the previous methods about diagnosis of CDH (which used artificial technique images matching subject to detect the diseased image only by compare the diseased images with normal image without giving any percent of disease) can be summarized by: 1.Going into the details of the X-Ray and cutting out the necessary parts ( head of femur ) for both the diseased and normal sides in cases of unilateral CDH, to make comparison between them instead of using the complete image. 2.Using Mask Technique and algorithm of Center Detection to extract the features (Center, Intensity value of the center, and Diameter ) from the two captured images. …”
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Optical Frequency Comb-Based 256-QAM WDM Coherent System with Digital Signal Processing Algorithm by Babar Ali, Ghulam Murtaza, Hafiz Muhammad Bilal, Tariq Mahmood, Muhammad Rashid, Zaib Ullah

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Hybrid convolutional neural network optimized with an artificial algae algorithm for glaucoma screening using fundus images by M. Shanmuga Eswari, S. Balamurali, Lakshmana Kumar Ramasamy

“…Methods We combined computer vision algorithms with a convolutional network for fundus images and applied a faster region-based convolutional neural network (FRCNN) and artificial algae algorithm with support vector machine (AAASVM) classifiers. …”
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Application of nine point logic control and predictive pid control algorithms in smart grid decision-making by Zhixin Ou

“…The smart grid operation and decision-making system has the characteristics of smart power detection, data cloud storage, and information fusion. …”
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