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    LiteTom-RTDETR: A Lightweight Real-Time Tomato Detection System for Plant Factories by Wenshuai Liu, Qingzheng Liu, Wenyong Quan, Junli Wang, Xiaomin Yao, Qiang Liu, Yuxiang Tian

    Published 2025-06-01
    “…The accuracy and speed of tomato detection were increased to facilitate fully automated harvesting by improving the Real-Time Detection Transformer (RTDETR) to develop a new lightweight tomato detection model called LiteTom-RTDETR. …”
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    Article
  3. 363

    Realizing depth measurement and edge detection based on a single metasurface by Yang Siwen, Wei Qunshuo, Zhao Ruizhe, Li Xin, Zhang Xue, Li Yao, Li Junjie, Jing Xiaoli, Li Xiaowei, Wang Yongtian, Huang Lingling

    Published 2023-07-01
    “…Double helix point source function is utilized, and three verification experiments are carried out, including double-helix beam calibration, 2D object and 3D object detection, respectively. …”
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    Synthesis, Microstructure, Optical Properties, and Sensitive Amoxicillin Detection of Carbon Dots by Yuni Aldriani Lubis, Saharman Gea, Muhammad Frassetia Lubis, Woei Wu Larry Pai, Marpongahtun Marpongahtun

    Published 2025-05-01
    “… The detection of amoxicillin has been successfully carried out using C-dot fluorescence probes made from d-glucose and urea.  …”
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    Article
  9. 369

    Pyrene‐diaminomaleonitrile‐based fluorescent probe for the turn‐on detection and bioimaging of hypochlorite by Bingbing Yue, Ruida Shi, Huiwen Yang, Caifeng Ding, Haitao Yu, Yanyu Qi

    Published 2025-05-01
    “…Abstract Hypochlorous acid (HClO), a key member of the reactive oxygen species, has an impact on both normal and abnormal functioning of a wide range of organisms. To deeply investigate the function of HClO in organisms and its impact on health status, there is an urgent need to develop efficient detection techniques in the biomedical field. …”
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  10. 370

    Vulnerability detection method for blockchain smart contracts based on metamorphic testing by Jinfu CHEN, Zhenxin WANG, Saihua CAI, Qiaowei FENG, Yuhao CHEN, Rongtian XU, KwakuKudjo Patrick

    Published 2023-10-01
    “…Aimed at the defects of existing test methods, a vulnerability detection method for blockchain smart contracts based on metamorphic testing was proposed, which could generate test cases for specific functions in blockchain smart contracts to detect possible vulnerabilities.According to the possible security vulnerabilities, different metamorphosis relationships were designed and then metamorphic testing was performed.Through verifying whether the metamorphic relationship between the source test case and the subsequent test case was satisfied, whether the smart contract had related security vulnerabilities was judged.The experimental results show that the proposed method can effectively detect the security vulnerabilities in the smart contracts.…”
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  11. 371

    Gas Detection and Classification Using Neural Network Based Gas Sensors by Munaf Ismail, Sri Arttini Dwi Prasetyowati

    Published 2023-07-01
    “…The MQ-3 gas sensor successfully reads liquid vapor in alcohol with levels of 30%, 50%, 70%, and other water-based liquids. …”
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  13. 373

    Fuzzy deep learning architecture for cucumber plant disease detection and classification by Anas Bilal, Junaid Ali Khan, Abdulkareem Alzahrani, Khalid Almohammadi, Maha Alamri, Xiaowen Liu

    Published 2025-05-01
    “…The proposed approach is efficient and feasible, offering a more stable and accurate disease detection system while utilizing fewer resources. This work demonstrates the potential of AI-driven solutions in agriculture, particularly in improving disease detection and crop yield through advanced machine learning techniques.…”
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  14. 374

    Plug-and-Play Robust Aerial Object Detection Under Hazy Conditions by Wei Wu, Hao Chang, Zhiwen Chen, Zhu Li

    Published 2024-01-01
    “…Moreover, we also propose a detection feature pyramid loss function to more accurately restore object features. …”
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  15. 375

    Utilize Data Augmentation and Flexi Corner Block for Road Damage Detection by Zhaohui Wu, Runjing Zhao, Xingliang Sun, Zhaojia Li

    Published 2025-01-01
    “…Current methods, integrating Single Shot Detector with MobileNet and Faster R-CNN, have successfully detected large potholes and long, deep cracks. …”
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  16. 376

    A review of deep learning models to detect malware in Android applications by Elliot Mbunge, Benhildah Muchemwa, John Batani, Nobuhle Mbuyisa

    Published 2023-12-01
    “…Android applications are indispensable resources that facilitate communication, health monitoring, planning, data sharing and synchronization, social interaction, business and financial transactions. …”
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  17. 377

    A Universal Tire Detection Method Based on Improved YOLOv8 by Chi Guo, Mingxia Chen, Junjie Wu, Haipeng Hu, Luobing Huang, Junjie Li

    Published 2024-01-01
    “…However, traditional methods of tire defect detection have encountered problems such as slow detection speed, complex tire defect backgrounds, and limited hardware resources. …”
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  18. 378

    ZnO-nanostructured electrochemical sensor for efficient detection of glyphosate in water by Zorica Novakovic, Zorka Z. Vasiljevic, Maria Vesna Nikolic, Nenad B. Tadic, Tijana Djordjevic, Marko Radovic, Ivana Gadjanski, Snežana Papović, Filip Vlahovic, Dalibor Stankovic, Jasmina Vidic

    Published 2025-12-01
    “…Eco-friendly ZnO NPs of only 7 nm crystallite sizes were obtained by green sol-gel synthesis using lemon (Citrus limon) waste aqueous extract as the green reducing and capping/stabilizing agent and Zn nitrate precursor as evidenced by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction and diffuse reflectance. SEM confirmed successful electrode functionalization with the synthesized nanoparticles. …”
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  19. 379

    Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

    Published 2025-07-01
    “…Unlike prior studies, our approach integrates domain-specific crop phenology to enhance the specificity of anomaly detection. We used a pixel-level random forest (RF) model to predict 11 key vegetation indices (VIs) as a function of historical meteorological conditions, specifically daytime and nighttime temperature from MODIS and precipitation from NASA GES DISC. …”
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