Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

“…Abstract Aiming at the problems of low detection accuracy and poor generalization ability of underwater disease targets in inland waterways, an underwater disease target detection algorithm for inland waterways based on improved YOLOv5 is designed, which is denoted as YOLOv5-GBCE. …”
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A secure and size efficient algorithm to enhance data hiding capacity and security of cover text by using unicode by Allah Ditta, Muhammad Azeem, Shahid Naseem, Khurram Gulzar Rana, Muhammad Adnan Khan, Zafar Iqbal

“…With the advancement of technology, the maximum data hiding capacity and security of cover objects have become a very challenging task for researchers, particularly in text carrier. Text carrier depicts low hiding capacity but more secure for the detection of confidential information. …”
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Fractional-Order Adaptive P-Laplace Equation-Based Art Image Edge Detection by Ming Chen

“…In this paper, we propose a fractional-order adaptive P-Laplace equation image edge detection algorithm for the problem of image edge detection in which the edge and texture information of the image is lost. …”
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3D Reconstruction and Deformation Detection of Rescue Shaft Based on RGB-D Camera by Hairong Gu, Bokai Liu, Lishun Sun, Mostak Ahamed, Jia Luo

“…The approach captures depth and color data from the shaft’s low-texture walls and employs advanced feature extraction and matching algorithms to generate a high-precision 3D point cloud. …”
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Unknown intrusion traffic detection method based on unsupervised learning and open-set recognition by Jun Fang, Cunxiang Xie

“…To address problems relating to the low classification accuracy of current intrusion traffic detection algorithms and that most of the current research focus on closed set detection, this paper proposes a detection and classification model for open set traffic based on information maximization generative adversarial network and OpenMax algorithm. …”
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Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data by Jiali Wang, Jia Chen

“…A fast diagnostic method based on Boosting and big data is proposed to address the low accuracy and efficiency of fault diagnosis in new energy vehicle power batteries. …”
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A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sediments by Rongxin Zhang, Fei Yuan, En Cheng

“…With a proper window width and the corresponding Bayes optimum threshold, the proposed approach performs well in simulations, in terms of a low system-level false alarm probability and a low system-level miss alarm probability.…”
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Full-diversity design criterion for multi-user STBC based on integer-forcing detection by Guoquan LI, Xiangyun ZHOU, Jinzhao LIN, Yongjun XU, Yu PANG, Jiacheng WANG

“…Multi-user space time block code systems have the problem of high decoding complexity.To ensure good system performance with low decoding complexity at the same time,low complexity integer-forcing (IF) detection algorithm was applied to multi-user space time block code.Then the upper bound of error probability for IF detection was derived by minimizing the equivalent noise power.To obtain good multi-user space time block code when decoded with IF detection,a full-diversity design criterion was proposed.It was proved that full diversity could be achieved if every user’s space time block code had property of non-vanishing singular value.Simulation result shows that the code gain is found related to the minimum singular value.…”
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Full-diversity design criterion for multi-user STBC based on integer-forcing detection by Guoquan LI, Xiangyun ZHOU, Jinzhao LIN, Yongjun XU, Yu PANG, Jiacheng WANG

“…Multi-user space time block code systems have the problem of high decoding complexity.To ensure good system performance with low decoding complexity at the same time,low complexity integer-forcing (IF) detection algorithm was applied to multi-user space time block code.Then the upper bound of error probability for IF detection was derived by minimizing the equivalent noise power.To obtain good multi-user space time block code when decoded with IF detection,a full-diversity design criterion was proposed.It was proved that full diversity could be achieved if every user’s space time block code had property of non-vanishing singular value.Simulation result shows that the code gain is found related to the minimum singular value.…”
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Secure cloud computing: leveraging GNN and leader K-means for intrusion detection optimization by Raman Dugyala, Premkumar Chithaluru, M. Ramchander, Sunil Kumar, Arvind Yadav, N. Sudhakar Yadav, Diaa Salama Abd Elminaam, Deema Mohammed Alsekait

“…However, this rapid adoption has introduced significant security challenges, particularly in intrusion detection, where traditional systems often struggle with low detection accuracy and high processing times. …”
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Enhanced YOLOv8-based pavement crack detection: A high-precision approach. by ZuXuan Zhang, HongLi Zhang, TongJia Zhang

“…Experimental results show that the Precision, Recall, F1-score, mAP50 and FPS of the YOLOv8-DGS algorithm in pavement crack detection are 91.6%, 90%, 90.8%, 92.4% and 85 frames, respectively. …”
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Efficient tuna detection and counting with improved YOLOv8 and ByteTrack in pelagic fisheries by Yuanchen Cheng, Zichen Zhang, Yuqing Liu, Jie Li, Zhou Fu

“…This paper proposes an automatic tuna counting method based on the YOLOv8n-DMTNet target detection algorithm combined with the improved ByteTrack tracking algorithm. …”
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An Efficient and Cost-Effective Vehicle Detection and Tracking System for Collision Avoidance in Foggy Weather by Naeem Raza, Muhammad Asif Habib, H. M. Sajid Imran, Abdul Qayum, Sajida Perveen, Sohail Jabbar, Shahzad Sarwar, Mudassar Ahmad

“…The proposed ECE-VDT system encompasses an optimized SimYOLO-V5s algorithm and its five variants for vehicle detection, while the optimized deep-SORT algorithm is proposed for vehicle tracking. …”
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Low Signal-to-Noise Ratio Optoelectronic Signal Reconstruction Based on Zero-Phase Multi-Stage Collaborative Filtering by Xuzhao Yang, Hui Tian, Fan Wang, Jinping Ni, Rui Chen

“…Traditional signal processing algorithms fail to effectively suppress phase distortion and boundary effects under extremely low SNR conditions, creating a technical bottleneck that severely constrains system detection performance. …”
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YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images by Ke Zhang, Ningxuan Zhang, Chaojun Shi, Qiaochu Lu, Xian Zheng, Yujie Cao, Xiaoyun Zhang, Jiyuan Yang

“…To address existing issues in remote sensing image application algorithms such as difficulties in power target feature extraction, low detection accuracy, and false positives/missed detections, this paper proposes the YOLOv9-GDV power tower detection algorithm specifically for power tower detection in high-resolution satellite remote sensing images. …”
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Domain Knowledge-Enhanced Process Mining for Anomaly Detection in Commercial Bank Business Processes by Yanying Li, Zaiwen Ni, Binqing Xiao

“…However, traditional process mining techniques frequently neglect the detection of significant low-frequency abnormalities due to their dependence on frequency and the inadequate incorporation of domain-specific knowledge. …”
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A Deep Reinforcement Learning Method with a Low Intercept Probability in a Netted Synthetic Aperture Radar by Longhao Xie, Ziyang Cheng, Ming Li, Huiyong Li

“…The LPI performance is achieved by minimizing NCEVR within the constraints of SAR detection performance. The powers in multiple moments are optimized using the DRL proximal policy optimization algorithm with the designed reward and observation. …”
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Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems by Lihui Zheng, Xu Fan, Zongshan Kang, Xinjun Jin, Wenchao Zheng, Xiaofen Fang

“…Specifically, the VToMe algorithm achieves stable detection of medium to long term system faults, while the BiGRU network achieves rapid fault prediction in the short term. …”
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APPROACH OF PROCESSING, CLASSIFICATION AND DETECTION OF NEW CLASSES AND ANOMALIES IN HETEROGENIOUS AND DIFFERENT STREAMS OF DATA by R. A. Bagutdinov

“…The level of false positives in the developed algorithm is rather low and can be considered insignificant. …”
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MDCFVit-YOLO: A model for nighttime infrared small target vehicle and pedestrian detection. by Huiying Zhang, Qinghua Zhang, Yifei Gong, Feifan Yao, Pan Xiao

“…An MDCFVit-YOLO model based on the YOLOv8 algorithm is proposed to address issues in nighttime infrared object detection such as low visibility, high interference, and low precision in detecting small objects. …”
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