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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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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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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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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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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Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization by Khadija Kanwal, Khawaja Tehseen Ahmad, Aiza Shabir, Li Jing, Helena Garay, Luis Eduardo Prado Gonzalez, Hanen Karamti, Imran Ashraf

“…The goal targets compact efficient image feature vectors that process data in parallel regardless of input color or grayscale consistency and work across different datasets and semantic categories. …”
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Interpretable Deep Learning for Efficient Code Smell Prioritization in Software Development by Maaeda M. Rashid, Mohd Hafeez Osman, Khaironi Yatim Sharif, Hazura Zulzalil

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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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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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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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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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Parameter Adaptive LCD Screen Defect Detection Framework by LIU Wang, SHAO Huili, HE Yongjun, XIE Yining, CHEN Deyun

“…It is necessary to detect defects in the production process of LCD screens for quality improvements Manual detection brings a heavy workload and low accuracy Therefore, an efficient and accurate automatic detection method is urgently needed To this end, this paper proposes a new defect detection framework, which mainly includes screen area extraction, preprocessing, threshold segmentation and defect selection By adaptive adjustment of parameters, the detection method can adapt to various complex situations In order to eliminate the influence of illumination changes, the defect region is segmented by automatic parameter adjustment in the threshold segmentation First, the maximum grayscale value of the image is calculated, and then the fixed parameters and the coefficient of the defect image are determined according to the nodefect image, and finally the maximum value which was selected as the minimum threshold of the threshold segmentation from the fixed parameters and the product of the maximum grayscale value and the coefficient In addition, in order to solve the problem that the brightness difference of the images captured by lowresolution cameras is too small to detect defects in the saturation condition, selfadaptive adjustment of exposure parameters was used to collect images to process different parts of images with large difference in light and shade Experiments show that the method can achieve high performance and efficiency in detecting defects such as points, lines, Mura, saturation…”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning (DL)) to build more efficient and reliable intrusion detection systems (IDSs). …”
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Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases by Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Saravanapriya Kumar, Ayodele Lasisi, Quadri Noorulhasan Naveed, Anjanabhargavi Kulkarni, Abdulrajak Buradi, Addisu Frinjo Emma, Naoufel Kraiem

“…Abstract In our data-driven world, the healthcare sector faces significant challenges in the early detection and management of Non-Communicable Diseases (NCDs). …”
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Tennis ball detection based on YOLOv5 with tensorrt by Xiulei Zhang, Bin Li

“…First, YOLOv5 is used for target detection to achieve efficient tennis feature extraction. …”
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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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Advances in electrochemical biosensors for the detection of tumor-derived exosomes by Jun Chen, Zhou Zhao, Honglin Zhu, Xiaobing Li

“…Nevertheless, the nanoscale size and relatively low abundance of exosomes, as well as complex body liquid matrix pose daunting challenges for efficient isolation and sensitive detection of T-EXOs. …”
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Vision transformers for automated detection of pig interactions in groups by Gbadegesin Taiwo, Sunil Vadera, Ali Alameer

“…The model's ability to recognize contextual spatial data enables strong detection even in complex contexts, due to the use of Gaussian Error Linear Unit (GELU) an activation function responsible for introduction of non-linear data to the model and Multi Head Attention feature that ensures all relevant details contained in a data are captured in Vision Transformer. …”
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