Showing 301 - 320 results of 1,810 for search '((( resource OR source) detection functions ) OR ( sources detection function ))', query time: 0.23s Refine Results
  1. 301

    Saponins from <i>Solanum nigrum</i> L. Fruit: Extraction Optimization, Structural Characterization, and Dual-Functional Efficacy by Shuyuan Chen, Weiyun Guo, Tonghe Zhang, Jianfang Chen, Li Huang, Jihong Huang, Ruqiang Huang

    Published 2025-07-01
    “…., a widely consumed Asian medicinal edible plant, is a promising source of bioactive saponins for functional food applications. …”
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    Article
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    Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

    Published 2025-01-01
    “…Thirdly, it presents the FocalEloU-Loss function, which significantly enhances detection accuracy by refining bounding box predictions. …”
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    Article
  5. 305

    An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

    Published 2024-10-01
    “…Finally, combining the optimal threshold and loss function, we propose a model named MIX_LSTM for anomaly detection in IIoT. …”
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    Article
  6. 306

    A near-optimal resource allocation strategy for minimizing the worse-case impact of malicious attacks on cloud networks by Yu-Fang Chen, Frank Yeong-Sung Lin, Kuang-Yen Tai, Chiu-Han Hsiao, Wei-Hsin Wang, Ming-Chi Tsai, Tzu-Lung Sun

    Published 2025-08-01
    “…The proposed model integrates Virtual Machine (VM) initiation decisions and employs the Contest Success Function (CSF) within a two-player max–min game framework to dynamically allocate resources. …”
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    Article
  7. 307

    Compact Laser-Induced Fluorescence Detector with Adjustable Laser Focal Spot for Multiple Purposes by Zihe Xu, Xi Chen, Fangwu Liu

    Published 2024-09-01
    “…The influence of the excitation power on the detection limit was studied through experiments, and the configuration results for LED/LD as light sources and 487/450 nm wavelengths were compared and optimized. …”
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    Article
  8. 308

    Enhanced high-sensitivity multi-layer neutron detector based on LiF:ZnS(Ag) scintillator by Ilan Cohen Zada, Alon Osovizky, Itzhak Orion

    Published 2024-12-01
    “…Each layer consists of a LiF: ZnS(Ag) scintillator coupled with a transparent neutron moderator that also functions as a light guide for the Silicon Photomultiplier (SiPM) light sensor. …”
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    Article
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  10. 310

    PATHOLOGICAL SIGNS OF EPILEPTIC AND NON-EPILEPTIC ORIGIN DETECTED IN AWAKE/SLEEP EEG PATTERNS DURING OUTPATIENT AND INPATIENT MONITORING: PROBLEMS OF INTERPRETATION by V. V. Gnezditskiy, O. S. Korepina, V. A. Karlov, G. B. Novoselova

    Published 2017-08-01
    “…The aims of this study were: (a) to elucidate the role of prolonged computerized EEG in assessing the brain function in patients with focal lesions (stroke consequences, tumor, etc.), and (b) to summarize the experience of using outpatient and inpatient EEG monitoring in neurological practice.Materials and methods. …”
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    Article
  11. 311

    Reconstructed Phase Space-Based Damage Detection Using a Single Sensor for Beam-Like Structure Subjected to a Moving Mass by Zhenhua Nie, Tuan Ngo, Hongwei Ma

    Published 2017-01-01
    “…This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. …”
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    Article
  12. 312

    Dip‐Pen Nanolithography‐Based Fabrication of Meta‐Chemical Surface for Heavy Metal Detection: Role of Poly‐Methyl Methacrylate in Sensor Sensitivity by Rahma Okbi, Mohammed Alkrenawi, Krishna Kumar Yadav, Dror Shamir, Haya Kornweitz, Yael Peled, Moshe Zohar, Ariela Burg

    Published 2025-02-01
    “…The nanosize, the surface‐to‐volume ratio (18.6 and 23.1 μm−1 for DAN‐ and D‐PA‐based ink, respectively), and the binding strength between the ligand and the cation (2.21 and −21.37 kcal mol−1 for DAN‐ and D‐PA‐based ink, respectively) are found to be the source of their high sensitivity, with limit of detection values of 0.40 and 0.30 ppb for DAN and D‐PA, respectively. …”
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    Article
  13. 313

    Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes by Chenmeng Zhao, Like Zhao, Ka Zhang, Yinghua Ren, Hui Chen, Yehua Sheng

    Published 2025-03-01
    “…Owing to the demand for smoke and flame detection in natural scenes, this paper proposes a lightweight deep learning model, SF-YOLO (Smoke and Fire-YOLO), for video smoke and flame detection in such environments. …”
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    Article
  14. 314

    Multi-layer feature fusion and attention-enhanced YOLOv9 for rapid field detection of greenhouse blueberry maturity at long and short distances by Ziwei Pan, Lei Xu, Wanjin Zhao, Cong Fan, Xihao Zhang, Weihui Chen, Yonglin Shen, Nengcheng Chen

    Published 2025-08-01
    “…Given the dense growth of blueberry plants and small fruit size, detecting blueberry maturity at long distances poses significant challenges. …”
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    Revealing Potential Initial Mass Function Variations with Metallicity: JWST Observations of Young Open Clusters in a Low-metallicity Environment by Chikako Yasui, Natsuko Izumi, Masao Saito, Ryan M. Lau, Naoto Kobayashi, Michael E. Ressler

    Published 2024-01-01
    “…A total of 52 and 91 sources were extracted in mass- A _V -limited samples in the two clusters, from which initial mass functions (IMFs) were derived by model-fitting the F200W band luminosity function, resulting in IMF peak masses (hereafter M _C ) $\mathrm{log}{M}_{C}/{M}_{\odot }\simeq -1.5\pm 0.5$ for both clusters. …”
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    Article
  19. 319

    Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

    Published 2025-09-01
    “…Electroencephalograms (EEGs) are essential for diagnosing epilepsy, but conventional detection techniques depend on manual analysis, which can be labor-intensive and susceptible to inaccuracies. …”
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    Article
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