Deep Reinforcement Learning-Based Motion Control Optimization for Defect Detection System by Yuhuan Cai, Liye Zhao, Xingyu Chen, Zhenjun Li

“…Specifically, the TD3 algorithm, featuring a dual-critic structure, is employed to enhance control precision within predefined state and action spaces. …”
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Deep Convolutional Generative Adversarial Network and Convolutional Neural Network for Smoke Detection by Hang Yin, Yurong Wei, Hedan Liu, Shuangyin Liu, Chuanyun Liu, Yacui Gao

“…Real-time smoke detection is of great significance for early warning of fire, which can avoid the serious loss caused by fire. …”
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YOLO-CSMD: Integrating Improved Convolutional Techniques for Manhole Cover Defect Detection by Zhiwang Xu, Haowei Luo, Huijie Zhu, Wanfa Sun, Shengying Yang

“…Recent detection algorithms for manhole cover defects exhibit limited detection capabilities, which frequently encounter the issue of missed detection. …”
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Application of GPR Underground Pipeline Detection Technology in Urban Complex Geological Environments by Xiaoqiang Liang, Da Hu, Yongsuo Li, Yunyi Zhang, Xian Yang

“…To address different kinds of complex conditions, this experiment in the present paper takes ground penetrating radar as the research basis and uses a self-correction and screening algorithm to innovatively detect underground pipelines. …”
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Unsupervised Anomaly Detection on Metal Surfaces Based on Frequency Domain Information Fusion by Wenfei Wu, Tao Tao, Jinsheng Xiao, Yichu Yao, Jianfeng Yang

“…The limited number of defect samples, unpredictable defect characteristics, and the interference of metal grain bring great challenges to metal surface defect detection. For this reason, this paper proposes an unsupervised algorithm, FFnet, based on the fusion of frequency domain information, which introduces the frequency domain features into the unsupervised detection. …”
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A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving by Hai Wang, Junhao Liu, Haoran Dong, Zheng Shao

“…In the field of autonomous driving, multi-sensor fusion object detection has become a hot research topic. To further explore the future development trends of multi-sensor fusion object detection, we introduce the mainstream framework Transformer model of the multi-sensor fusion object detection algorithm, and we also provide a comprehensive summary of the feature fusion algorithms used in multi-sensor fusion object detection, specifically focusing on the fusion of camera and LiDAR data. …”
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YOLO Model-Based Eye Movement Detection During Closed-Eye State by Shigui Zhang, Junhui He, Yuanwen Zou

“…Eye movement detection technology holds significant potential across medicine, psychology, and human–computer interaction. …”
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Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…However, the field still faces specific challenges, primarily concerning the accuracy of identifying student behaviors within complex and variable classroom environments, as well as the real-time capabilities of detection algorithms. To address these challenges, we propose an efficient and straightforward algorithm based on the YOLO architecture. …”
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Automatic Feature Engineering-Based Optimization Method for Car Loan Fraud Detection by Jian Yang, Zixin Tang, Zhenkai Guan, Wenjia Hua, Mingyu Wei, Chunjie Wang, Chenglong Gu

“…To tackle this issue, this paper proposed an optimized deep feature synthesis (DFS) method in the automatic feature engineering scheme to improve the car loan fraud detection. Problems like feature dimension explosion, low interpretability, long training time, and low detection accuracy are solved by compressing abstract and uninterpretable features to limit the depth of DFS algorithm. …”
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An Effective Network Intrusion Detection System Using Recursive Feature Elimination Technique by Narendra Singh Yadav, Vijay Prakash Sharma, D. Sikha Datta Reddy, Saswati Mishra

“…Machine learning facilitates the growth of an intrusion detection system (IDS) in the context of cyber security. …”
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Detection and Tracking of Environmental Sensing System for Construction Machinery Autonomous Operation Application by Junyi Chen, Qipeng Cai, Xinhai Hu, Qihuai Chen, Tianliang Lin, Haoling Ren

“…The superiority of the optimized detection model is verified through real-time target detection tests at different speeds and under different states. …”
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Spatiotemporal Correlation Based Fault-Tolerant Event Detection in Wireless Sensor Networks by Kezhong Liu, Yang Zhuang, Zhibo Wang, Jie Ma

“…In the high-level global stage, a Bayesian fusion algorithm is adopted to reach a consensus among individual detection decisions made by sensor nodes. …”
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Characterization of Phytoplankton Composition in Lake Maggiore: Integrated Chemotaxonomy for Enhanced Cyanobacteria Detection by Elisabetta Canuti, Martina Austoni

“…The study demonstrates that pigment-based classification methods, when combined with statistical analyses, offer a reliable alternative for identifying cyanobacteria and other phytoplankton groups, with potential applications in support of remote sensing algorithm development.…”
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PRNet: 3D Object Detection Network-Based on Point-Region Fusion by Yufei Fu, Yuhao Guo, Hui Hu

“…Object detection is a pivotal task in the realm of autonomous driving, where reliance on single-modality information often proves inadequate for high-precision detection tasks. …”
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Video Analysis and Frame Prediction Based on Improved Object Detection and ConvGRU by Xijuan Wang, Ru Chen

“…The results demonstrated that the improved algorithm has significantly improved its detection performance after introducing improvement measures, with a detection accuracy of 0.988, a floating-point calculation count of 5.732G, and a detection speed of 270.646 fps. …”
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A Dynamic Mode Decomposition Based Edge Detection Method for Art Images by Chongke Bi, Ye Yuan, Ronghui Zhang, Yiqing Xiang, Yuehuan Wang, Jiawan Zhang

“…In this paper, we propose a dynamic mode decomposition algorithm (DMD) based method for edge detection of art images. …”
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A hybrid ensemble framework with particle swarm optimization for network anomaly detection by Narinder Verma, Neerendra Kumar, Gourav Kumar, Kuljeet Singh

“…Traditional IDS approaches often struggle to detect sophisticated attacks due to their reliance on predefined patterns. …”
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Near real-time monitoring of carbon effects from continuous forest change in rapidly urbanizing region of China from 2000 to 2020 by Dou Zhang, Xiaojing Tang, Shuaizhi Lu, Xiaolei Geng, Zhaowu Yu, Yujing Xie, Si Peng, Xiangrong Wang

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Flexi-YOLO: A lightweight method for road crack detection in complex environments. by Jiexiang Yang, Renjie Tian, Zexing Zhou, Xingyue Tan, Pingyang He

“…Road crack detection is critical to global infrastructure maintenance and public safety, and complex background environments and nonlinear damage crack patterns challenge the need for real-time, efficient, and accurate detection.This paper proposes a lightweight yet robust Flexi-YOLO model based on the YOLOv8 algorithm. …”
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The Automatic Detection of Pedestrians under the High-Density Conditions by Deep Learning Techniques by Cheng-Jie Jin, Xiaomeng Shi, Ting Hui, Dawei Li, Ke Ma

“…We train the detection model by using Yolo v3, a very popular deep learning model among many available detection models in recent years. …”
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