Research Progress on Rapid Detection of Pyrethroid Pesticide Residues by Xiaoyao WANG, Siyao ZHONG, Xuping SHENTU, Zihong YE, Haizhi HUANG, Xiaoping YU

“…Traditional laboratory detection has been faced with the challenges such as expensive equipment, complex operation, and lengthy procedures. …”
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Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…The model demonstrates strong cross-dataset generalization, balancing accuracy and efficiency. These findings contribute to advancements in small drone target detection.…”
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Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

“…In light of the shortcomings pertaining to UAV small target detection, the detection of complex scenes, and the detection of multi-scale targets, a time-frequency dual-domain feature extraction algorithm, TF-DETR, has been proposed. …”
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Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture by Yingbiao Yao, Xiaojuan Li

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Research on pedestrian detection technology for mining unmanned vehicles by ZHOU Libing, YU Zhengqian, WEI Jianjian, JIANG Xueli, YE Baisong, ZHAO Yexin, YANG Siliang

“…The working environment of mining unmanned vehicles features complex lighting conditions, leading to frequent occurrences of missed detections in pedestrian detection, which undermines the reliability and safety of these vehicles. …”
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Improved printed circuit board defect detection scheme by Lufeng Bai, Wen Hao Xu

“…Furthermore, in order to further enhance the interaction and fusion of multi-scale features, we also add a SlimNeck module to the neck structure, which realizes efficient information transfer through streamlined design and reduces computational complexity at the same time. …”
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YOLO-MFD: Object Detection for Multi-Scenario Fires by Fuchuan Mo, Shen Liu, Sitong Wu, Ruiyuan Chen, Tiecheng Song

“…Fire refers to a disaster caused by combustion that is uncontrolled in the temporal and spatial dimensions, occurring in diverse complex scenarios where timely and effective detection is crucial. …”
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A comprehensive review of direct, indirect, and AI-based detection methods for milk powder by Xiaodong Song, Song Shen, Guanjun Dong, Haohan Ding, Haohan Ding, Zhenqi Xie, Long Wang, Wenxu Cheng

“…The indirect detection methods of milk powder mainly use microscopic imaging, spectral analysis, electronic nose system, environmental parameter monitoring and other technologies to establish complex mathematical models and provide a fast and non-destructive alternative. …”
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Detecting global financial crises with scarce data by multivariate nonlinear filtering by Cécile Bastidon, Antoine Parent, Patrice Abry, Pierre Borgnat, Pablo Jensen, Barbara Pascal

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Deep Learning-Based Algorithm for Road Defect Detection by Shaoxiang Li, Dexiang Zhang

“…However, challenges remain, such as insufficient detection precision for detection precision for road defect recognition and issues of missed or false detections in complex backgrounds. …”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…However, the complex marine environment, poor resolution, color distortion in underwater optical imaging, and limited computational resources all affect the accuracy and efficiency of underwater object detection. …”
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Machine learning algorithm for intelligent detection of WebShell by Hua DAI, Jing LI, Xin-dai LU, Xin SUN

“…WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learning algorithm was put forward to detect WebShell intelligently.By learning the features of existing WebShell and non-existing WebShell pages,the algorithm can make prediction of the unknown pages,and the flexibility and adaptability were both very good.Compared with the traditional WebShell detection methods,the experiment proves that the algorithm has higher detection efficiency and accuracy,and at the same time there is a certain probability to detect new types of WebShell.…”
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Multi-Agents Indexing System (MAIS) for Plagiarism Detection by Samia Zouaoui, Khaled Rezeg

“…Developing such a system that can covers the content of all Arabic documents using ontology as a semantic resource would be a complex and time-consuming task and would require intelligent natural language-processing capabilities.In the context of Arabic plagiarism detection systems using an Arabic ontology and permitting these systems to support semantic representation to more efficiently verify the originality of the research and meet the needs of researchers, this paper presents a novel approach for addressing plagiarism named Multi-agents Indexing System. …”
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DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum by Kun Jiang, Kexiao Peng, Yuan Feng, Xia Guo, Zuping Tang

“…Detecting narrowband signals under broadband environments, especially under low-signal-to-noise-ratio (SNR) conditions, poses significant challenges due to the complexity of time–frequency features and noise interference. …”
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Deep learning for automated encrustation detection in sewer inspection by Wasiu Yusuf, Hafiz Alaka, Mubashir Ahmad, Wusu Godoyon, Saheed Ajayi, Luqman Olalekan Toriola-Coker, Abdullahi Ahmed

“…Additionally, we analyze the time complexities associated with training models with and without data augmentation, providing valuable insights into the efficiency of our approach.…”
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Vibration-Based Damage Detection With Structural Modal Characteristics by Yonggang Wang, Yulong Pei, Yangdon Zhao

“…To address this issue, a novel technique, referred to as damage estimator with modal parameters of structure before and after damage, is applied to detect the location and estimate the severity of existing damage of complex structures. …”
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An Approach for Detecting Tomato Under a Complicated Environment by Chen-Feng Long, Yu-Juan Yang, Hong-Mei Liu, Feng Su, Yang-Jun Deng

“…The results indicate that the improved Graph-CenterNet method significantly enhances the accuracy and robustness of tomato detection in complex environments.…”
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Visual detection of screen defects in occlusion and missing scenes by YIN Dongfu, DU Mingchen, HU Tianhao, LI Youming, ZHANG Xiaohong, YU Fei Richard

“…To improve the intelligent level and solve the difficult problem of defect detection in complex scenarios, a visual detection system for screen defects in occluded and missing scenes is constructed based on object detection and matching, as well as image difference technology. …”
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Lightweight object detection model for food freezer warehouses by Jiayu Yang, Zhihong Liang, Mingming Qin, Xingyu Tong, Fei Xiong, Hao An

“…The YOLOv8-RSS is designed to meet the complex detection demands in food freezer warehouses, enabling precise and rapid detection of personnel and forklifts. …”
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UAV Detection Using Template Matching and Centroid Tracking by Muhammad Hanzla, Muhammad Ovais Yusuf, Touseef Sadiq, Naif Al Mudawi, Hameedur Rahman, Abdulwahab Alazeb, Aisha Ahmed AlArfaj, Asaad Algarni

“…Our approach offers robust vehicle detection and tracking over a range of sizes and positions in complicated backgrounds, while also efficiently segmenting the region of interest. …”
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