Showing 261 - 280 results of 993 for search 'Resources detection function', query time: 0.16s Refine Results
  1. 261

    SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

    Published 2025-06-01
    “…The model incorporates the DWR-C2f module, which enhances multi-scale feature extraction and significantly improves the detection of small-sized subsidence funnels. Additionally, the innovative Inner-WIoU regression loss function improves the localization accuracy of detection boxes while also alleviates the imbalance between hard and easy samples. …”
    Get full text
    Article
  2. 262
  3. 263

    Ensuring Effective Functioning of Gas-Discharge Counters, Used in the Military Dose Rate Meters, in the Arctic Zone by A. V. Vasiliev, Yu. A. Glukhov, I. Y. Kulagin, K. S. Abaeva

    Published 2023-06-01
    “…At the same time, the region's rich natural resources create conditions for military conflicts and armed struggle of states for possession of these resources. …”
    Get full text
    Article
  4. 264

    Simple surface modification of poly(methyl methacrylate) microfluidic microplates for enhanced ultrasensitive multiplexed detection of infectious diseases by Sharma T. Sanjay, Sapna Kannan, XiuJun Li

    Published 2025-06-01
    “…Herein, we report a simple method of functionalization of poly(methyl methacrylate) (PMMA) with polylysine to be used as the microfluidic microplate substrate for enhanced ELISA, enabling rapid, ultrasensitive, and multiplexed detection of infectious diseases. …”
    Get full text
    Article
  5. 265

    DMM-YOLO: A high efficiency soil fauna detection model based on an adaptive dynamic shuffle mechanism by Jiehui Ke, Renbo Luo, Guoliang Xu, Yuna Tan, Zhifeng Wu, Liufeng Xiao

    Published 2025-08-01
    “…Abstract Soil fauna play a critical role in maintaining ecosystem functions and assessing environmental health, making accurate and efficient detection essential. …”
    Get full text
    Article
  6. 266

    Plasmonic optical fiber biosensors for ultra-low detection of respiratory syncytial virus via point-of-care tests by Federica Passeggio, Luigi Zeni, Massimiliano Galdiero, Francesco Arcadio, Carla Zannella, Anna De Filippis, Chiara Marzano, Ines Tavoletta, Fabiana Napolitano, Rosalba Pitruzzella, Giuseppe Portella, Nunzio Cennamo

    Published 2025-06-01
    “…Hence, the results establish the POF-based RSV biosensor as a sensitive, cost-effective, ultra-fast, capable of being connected to the Internet, and a scalable alternative to traditional RSV detection methods, offering a promising tool for improving diagnostic capabilities in clinical and resource-limited settings.…”
    Get full text
    Article
  7. 267

    Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

    Published 2025-08-01
    “…BackgroundThe Bronchial Provocation Test (BPT) is the gold standard for diagnosing airway hyperresponsiveness (AHR) in suspected asthma patients but is time-consuming and resource-intensive. This study explores the potential of baseline pulmonary function parameters, particularly small airway indices, in predicting AHR and develops a machine learning-based model to improve screening efficiency and reduce unnecessary BPT referrals.MethodsThis retrospective study analyzed baseline pulmonary function data and BPT results from Henan Provincial People’s Hospital (May to September 2024). …”
    Get full text
    Article
  8. 268
  9. 269
  10. 270
  11. 271

    RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

    Published 2025-01-01
    “…The accuracy of current apple picking detection algorithms is still limited when the distribution is dense and occlusion exists, and there is a significant challenge in deploying current high accuracy detection models on edge devices with limited computational resources. …”
    Get full text
    Article
  12. 272
  13. 273
  14. 274

    Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

    Published 2025-01-01
    “…Deep learning (DL) models show strong potential in detecting DoW attacks, where attackers disrupt services by exploiting system resources. …”
    Get full text
    Article
  15. 275

    Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine by Wei Zhang, Qiong Cao, Shuai Yang, Hao Guo

    Published 2025-04-01
    “…Through training and optimization, the support vector machine outputs the detection results of electricity stealing behavior according to the decision function, and realizes the accurate detection of electricity stealing behavior. …”
    Get full text
    Article
  16. 276

    Phenotypic variation of Thenus spp. (Decapoda, Scyllaridae) in the waters of southern Thailand and Malaysia using multivariate morphometric analysis by Ihsan Hani Radzi, Cheng-Ann Chen, Sukree Hajisamae, Kay Khine Soe

    Published 2025-01-01
    “…This study focuses on collecting population information on Thenus orientalis and Thenus indicus from selected sites in southern Thailand and Malaysia to inform sustainable fisheries management about the resources. Twenty-five size-adjusted morphometric measurements were analyzed using canonical discriminant function and dendrogram cluster analyses to examine patterns of phenotypic variation between sites. …”
    Get full text
    Article
  17. 277
  18. 278

    Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

    Published 2025-06-01
    “…Feature importance analysis highlighted specific wavelengths near 1,150 nm, 1,410 nm, and 1,927 nm, associated with water molecular states and liver function biomarkers (GPT, GOT, GGT), reinforcing the biological relevance of this approach.ConclusionsThese findings suggest that integrating NIRS and clinical data through machine learning enhances HCV diagnostic capabilities, offering a scalable and non-invasive alternative for early detection and risk assessment.…”
    Get full text
    Article
  19. 279
  20. 280

    BiEHFFNet: A Water Body Detection Network for SAR Images Based on Bi-Encoder and Hybrid Feature Fusion by Bin Han, Xin Huang, Feng Xue

    Published 2025-07-01
    “…Water body detection in synthetic aperture radar (SAR) imagery plays a critical role in applications such as disaster response, water resource management, and environmental monitoring. …”
    Get full text
    Article