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Showing 821 - 840 results of 2,685 for search '((( resource OR success) detection functions ) OR ( sources detection functions ))', query time: 0.37s Refine Results
  1. 821
  2. 822

    The Capabilities of Optical and C-Band Radar Satellite Data to Detect and Understand Faba Bean Phenology over a 6-Year Period by Frédéric Baup, Rémy Fieuzal, Clément Battista, Herivanona Ramiakatrarivony, Louis Tournier, Serigne-Fallou Diarra, Serge Riazanoff, Frédéric Frappart

    Published 2025-06-01
    “…These double logistic functions are capable of reproducing the differences in phenological development observed between fields and years, providing a reference set of functions that can be used to monitor the phenological development of faba beans in real time. …”
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    Article
  3. 823

    PAMFPN: Position-Aware Multi-Kernel Feature Pyramid Network with Adaptive Sparse Attention for Robust Object Detection in Remote Sensing Imagery by Xiaofei Yang, Suihua Xue, Lin Li, Sihuan Li, Yudong Fang, Xiaofeng Zhang, Xiaohui Huang

    Published 2025-06-01
    “…Deep learning methods have achieved remarkable success in remote sensing object detection. Existing object detection methods focus on integrating convolutional neural networks (CNNs) and Transformer networks to explore local and global representations to improve performance. …”
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    Article
  4. 824

    An innovative and mass-sensitive quartz tuning fork (QTF) biosensor for GFAP detection: A novel approach for traumatic brain injury diagnosis by Burcu Özcan, İnci Uludağ Anıl, Mehmet Altay Ünal, Fikret Arı, Mustafa Kemal Sezgintürk, Sibel Ayşıl Özkan

    Published 2025-08-01
    “…This biosensor is designed to facilitate the highly sensitive and selective detection of GFAP in human serum. In contrast to conventional neuroimaging methods, which are resource-intensive and frequently inaccessible in emergency situations, this innovative biosensor offers a portable, cost-effective, and efficient alternative for rapid GFAP measurement. …”
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    Article
  5. 825
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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
  7. 827

    Rapid Detection of Trace Toxicants in Blood Using Thermal Desorption Coupled to Continuous Atmospheric Pressure Interfaced Ion Trap Mass Spectrometry by Hui-wen RUAN, Gui-yun SONG, Zhi-gang FAN, Suo-suo YANG, Jian KANG, Lei HUA, Wei-guo WANG

    Published 2025-07-01
    “…Given its cost-effectiveness and ease of operation, this instrument holds significant potential for widespread application in county-level hospitals with limited analytical resources, enabling rapid diagnosis of acute poisoning, real-time monitoring of drug levels, and disease detection. …”
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    Article
  8. 828
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    ENHANCEMENT OF SENSOR PANEL TACTILE TOUCH INTERFACE by Oleksandr Karpin, Zinovii Liubun, Vasyl Mandziy, Oleh Tereshchuk, Nestor Hotsiy

    Published 2025-03-01
    “…The proposed classification algorithm exhibits satisfactory accuracy in identifying the two signals within a minimal timeframe and requires minimal computational resources. Therefore, it can be employed cost-effectively to enhance the functionality of touch panels. …”
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    Article
  11. 831
  12. 832

    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. 833

    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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  14. 834
  15. 835

    A High Selective and Sensitive Spectrophotometric Cholesterol Detection Using B-Cyclodextrin/Fe3O4 Composite as the Identification Agent by Vanya Dharmawan, Isnaini Rahmawati, Afiten Rahmin Sanjaya, Beti Ernawati Dewi, Endang Saepudin, Tribidasari A. Ivandini

    Published 2025-03-01
    “…The results showed that cholesterol concentration could be determined from the released amount of MB detected by UV-vis spectrometer. To enhance the sensitivity of signal responses of the sensors, BCD was functionalized with citrate before being deposited on Fe3O4 magnetic nanoparticles. …”
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  16. 836

    Integrating smartwatch-based out-of-hospital cardiac arrest detection into resuscitation systems: a focus group study of community responder perspectives by Marijn Eversdijk, Babette J.W. van der Eerden, Dick L. Willems, Willem J. Kop, Mirela Habibović, Marieke A.R. Bak

    Published 2025-09-01
    “…Conclusion: This study identifies target topics that require attention in order to optimise community responders involvement in the implementation of smartwatch-based OHCA detection. Community responders indicated communication with the emergency dispatch centre, training with smartwatch-initiated scenarios and opt-in functionalities for responding to potential impactful situations as key factors to enhance the acceptability and feasibility. …”
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    Article
  17. 837

    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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    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
    “…Recent developments in artificial intelligence (AI) and deep learning have facilitated the automation of seizure detection from EEG signals with improved accuracy. …”
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