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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SD-YOLO: A Robust and Efficient Object Detector for Aerial Image Detection by Shuaihui Qi, Yi Sun, Xiaofeng Song, Jiting Li, Tongfei Shang, Li Yu

“…Aerial image detection remains challenging due to the varying scales of objects and complex backgrounds. …”
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Infrared Ship Detection in Complex Nearshore Scenes Based on Improved YOLOv5s by Xiuwen Liu, Mingchen Liu, Yong Yin

“…Accurate ship identification and classification are central to this objective, underscoring the critical importance of ship detection technology. However, compared to open-sea surface, dense vessel distributions and complex backgrounds in nearshore areas substantially limit detection efficacy. …”
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Tea Disease Detection Method Based on Improved YOLOv8 in Complex Background by Junchen Ai, Yadong Li, Shengxiang Gao, Rongsheng Hu, Wengang Che

“…Experimental results show that the proposed YOLO-SSM algorithm has obvious advantages in accuracy and model complexity and can provide reliable theoretical support for efficient and accurate detection and identification of tea leaf diseases in natural scenes.…”
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Enhanced YOLOv8 for Robust Pig Detection and Counting in Complex Agricultural Environments by Jian Li, Wenkai Ma, Yanan Wei, Tan Wang

“…Previous approaches often struggle with complex agricultural environments where lighting conditions, pig postures, and crowding levels create challenging detection scenarios. …”
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YOLO-RDM: Innovative Detection Methods for Eggplants and Stems in Complex Natural Environment by Qin Liu, Zhibin Zhou, Lu Xiong, Meilian Lu, Jingwen Ouyang

“…To achieve rapid identification of eggplants and stems in complex environments and enhance overall accuracy, this study establishes a database for eggplants and stems and proposes an efficient detection model based on the YOLOv8n network. …”
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Investigation towards nanomechanical sensor array for real-time detection of complex gases by Md. Abdul Momin, Masaya Toda, Zhuqing Wang, Mai Yamazaki, Krzysztof Moorthi, Yasuaki Kawaguchi, Takahito Ono

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An enhanced lightweight model for apple leaf disease detection in complex orchard environments by Ge Wang, Wenjie Sang, Fangqian Xu, Yuteng Gao, Yue Han, Qiang Liu

“…However, in complex natural environments, factors such as light variations, shading from branches and leaves, and overlapping disease spots often result in reduced accuracy in detecting apple diseases. …”
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Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems by Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein

“…These findings affirm the potential of mHLOA as a powerful optimization framework for advanced feature selection and complex optimization problems.…”
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Binocular Vision-Based Target Detection Algorithm by Huiguo Zhang

“…In this study, the Feffol network model is proposed to achieve excellent performance in complex detection tasks. In the feature extraction stage, the Feffol network model carefully chooses Efficient-v2 as the backbone network structure, which can provide a solid foundation for subsequent detection by taking advantage of its efficient feature extraction capability. …”
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GLS-YOLO: A Lightweight Tea Bud Detection Model in Complex Scenarios by Shanshan Li, Zhe Zhang, Shijun Li

“…To address the demand for high-precision yet lightweight tea bud detection, this study proposes the GLS-YOLO detection model, based on YOLOv8. …”
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A review: Multi-Objective Algorithm for Community Detection in Complex Social Networks by Mariwan Wahid Ahmed, Kamaran Faraj

“…Recently, research on multi-objective optimization algorithms for community detection in complex networks has grown considerably. …”
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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

“…This research applies bottom detection radar to urban underground pipeline detection technology under complex conditions for the first time, innovatively uses the action mechanism of bottom detection radar, integrates its high precision and high efficiency into underground pipeline detection technology, and ensures the effectiveness of the detection work.…”
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Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data by Hanan Alolaiyan, Maryam Liaqat, Abdul Razaq, Umer Shuaib, Abdul Wakil Baidar, Qin Xin

“…Precise and reliable decision-making methods are critical for identifying the most effective method of detecting diabetes mellitus. This research work highlights the resolution of the aforementioned decision-making scenarios by utilizing dynamic aggregation operators in the complex bipolar fuzzy (CBF) framework. …”
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Robust Miner Detection in Challenging Underground Environments: An Improved YOLOv11 Approach by Yadong Li, Hui Yan, Dan Li, Hongdong Wang

“…The Efficient Channel Attention (ECA) mechanism was integrated into the YOLOv11 model to enhance the model’s ability to focus on key features, thereby significantly improving detection accuracy. …”
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INDICATORS AND CRITERIA FOR ASSESSMENT OF MULTIFUNCTIONAL DEVELOPMENT OF RURAL TERRITORIES by O. V. Kosenchuk, A. V. Zinich

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Enhancing wind turbine blade damage detection with YOLO-Wind by Zhao Zhanfang, Li Tuo

“…Furthermore, a newly added P2 detection layer enhances multi-scale defect recognition in complex environments. …”
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Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images by Jie Luo, Zhicheng Liu, Yibo Wang, Ao Tang, Huahong Zuo, Ping Han

“…We propose an efficient small-object YOLO detection model (ESOD-YOLO) based on YOLOv8n for Unmanned Aerial Vehicle (UAV) object detection. …”
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Incorporating long-tail data in complex backgrounds for visual surface defect detection in PCBs by Liying Zhu, Sen Wang, Mingfang Chen, Aiping Shen, Xuangang Li

“…Nevertheless, most of the existing methods for PCB surface defect detection neglect the fact that PCB surface defects in complex backgrounds are prone to long-tailed data distributions, which in turn affects the effectiveness of defect detection. …”
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Non-orthogonal Discrete Multi-tone With Low Decoding Complexity Utilizing Symmetric Compression in Time–Frequency Space by Pengcheng Wei, Qi Sui, Zibin Li, Fan Li, Xingwen Yi, Zhaohui Li

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