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    YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning by Chenxing Wu, Changlong Cai, Feng Xiao, Jiahao Wang, Yulin Guo, Longhui Ma

    Published 2025-05-01
    “…To address challenges such as large-scale variations, high density of small targets, and the large number of parameters in deep learning-based target detection models, which limit their deployment on UAV platforms with fixed performance and limited computational resources, a lightweight UAV target detection algorithm, YOLO-LSM, is proposed. …”
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  3. 583

    Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system by XU Miao, YUE Dianwu, SUN Yu, WU Xiangkai, YUAN Meng

    Published 2025-01-01
    “…To address the issues of poor communication quality, high demand for radar detection, and scarce scarcity of spectrum resources for maritime users in coastal waters, an offshore dual-function radar communication (DFRC) system assisted by a shipborne active reconfigurable intelligent surface (ARIS) was studied. …”
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  4. 584

    Application of CRISPR-Cas System in Human Papillomavirus Detection Using Biosensor Devices and Point-of-Care Technologies by Chang He, Yongqi Li, Jinkuan Liu, Zhu Li, Xue Li, Jeong-Woo Choi, Heng Li, Shan Liu, Chen-zhong Li

    Published 2025-01-01
    “…Therefore, the development of rapid, high-throughput, and sensitive HPV detection platforms is important, especially in regions with limited access to advanced medical resources. …”
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  5. 585

    Discrimination of mercury, cadmium and lead polluted rice leaves based on near infrared spectroscopy technology by ZHANG Long, PAN Jiarong, ZHU Cheng

    Published 2013-01-01
    “…There are hundreds of sources of heavy metal pollution, including the industries of coal, natural gas, paper, and mining. …”
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    FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices. by Junjie Lu, Yuchen Zheng, Liwei Guan, Bing Lin, Wenzao Shi, Junyan Zhang, Yunping Wu

    Published 2025-01-01
    “…The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”
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    Improved Building Information Modeling Based Method for Prioritizing Clash Detection in the Building Construction Design Phase by Iman Bitaraf, Ali Salimpour, Pedram Elmi, Ali Akbar Shirzadi Javid

    Published 2024-11-01
    “…The proposed method substantially improves clash detection and prioritization efficiency and accuracy, yielding considerable benefits in project management and resource allocation.…”
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  15. 595

    Research on a Target Detection Algorithm for Common Pests Based on an Improved YOLOv7-Tiny Model by He Gong, Xiaodan Ma, Ying Guo

    Published 2024-12-01
    “…In agriculture and forestry, pest detection is critical for increasing crop yields and reducing economic losses. …”
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  16. 596

    STar-DETR: A Lightweight Real-Time Detection Transformer for Space Targets in Optical Sensor Systems by Yao Xiao, Yang Guo, Qinghao Pang, Xu Yang, Zhengxu Zhao, Xianlong Yin

    Published 2025-02-01
    “…Optical sensor systems are essential for space target detection. However, previous studies have prioritized detection accuracy over model efficiency, limiting their deployment on resource-constrained sensors. …”
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    YOLOv8-CBSE: An Enhanced Computer Vision Model for Detecting the Maturity of Chili Pepper in the Natural Environment by Yane Ma, Shujuan Zhang

    Published 2025-02-01
    “…Additionally, SRFD and DRFD modules are introduced to replace the original convolutional layers, effectively capturing features at different scales and enhancing the diversity and adaptability of the model through the feature fusion mechanism. To further improve detection accuracy, the EIoU loss function is used instead of the CIoU loss function to provide more comprehensive loss information. …”
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    Hierarchical Deep Learning Model Optimization Using Enhanced Evolutionary-based Approach for Fake News Detection by Deepti Nikumbh, Anuradha Thakare

    Published 2025-01-01
    “…Comparative analysis shows that DLECA outperforms Random Walk and Bayesian Optimization in multimodal fake news detection, offering a more efficient and accurate solution.…”
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