Showing 821 - 840 results of 2,992 for search '((\ sources selection functions\ ) OR (( (resource OR source) OR sources) detection function\ ))', query time: 0.34s Refine Results
  1. 821
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    Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

    Published 2024-10-01
    “…However, it has limitations, such as a lack of recording functionality, dependence on the expertise and judgment of physicians, and the absence of noise-filtering capabilities. …”
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    Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection by Yang Tian, Lisa Kelso, Yiting Xiao, Chaitanya Pallerla, Ramesh Bist, Siavash Mahmoudi, Ziyu Liu, Haizheng Xiong, Jeyam Subbiah, Terry Howell, Dongyi Wang

    Published 2025-01-01
    “…By enabling timely and accurate detection of contaminants, this technology has the potential to significantly impact public health by reducing the incidence of foodborne illnesses, safeguarding environmental resources, and enhancing overall safety and health outcomes.…”
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    Relationship between early neurological function and motor skills in Brazilian preterm infants: a cross-sectional study by Wendy Gabrielle Franca de Sousa, Ana Luiza Righetto Greco, Maja de Medeiros, Alicia Jane Spittle, Cibelle Kayenne Roberto Formiga

    Published 2025-08-01
    “…Thus, monitoring their development is needed for early detection and targeted intervention. This study aimed to assess the correlation between neurological function and motor skills in preterm infants from 2 to 6 months of corrected age after hospital discharge in an outpatient follow-up program. …”
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  7. 827
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    A general spectral bandpass adjustment function (SBAF) for harmonizing landsat-sentinel over inland and coastal waters by Thainara M.A. Lima, Vitor S. Martins, Rejane S. Paulino, Cassia B. Caballero, Daniel A. Maciel, Claudia Giardino

    Published 2025-06-01
    “…To ensure compatibility and consistency in harmonized products for aquatic studies, spectral bandpass adjustment function (SBAF) for cross-calibration between OLI and MSI sensors must be carefully derived and applied. …”
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  9. 829
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    Enhanced YOLOv7-Tiny for Small-Scale Fire Detection via Multi-Scale Channel Spatial Attention and Dynamic Upsampling by Shihao Wu, Yi Xia

    Published 2025-01-01
    “…Furthermore, the Focaler-IoU loss function is employed to focus the model on hard samples, enhancing the accuracy of small fire detection. …”
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    Physicochemical and Functional Properties of Yanbian Cattle Bone Gelatin Extracted Using Acid, Alkaline, and Enzymatic Hydrolysis Methods by Song Zhang, Duanduan Zhao, Lu Yin, Ruixuan Wang, Zhiyan Jin, Hongyan Xu, Guangjun Xia

    Published 2025-03-01
    “…Yanbian cattle, a high-quality indigenous breed in China, were selected due to their unique biological characteristics, underutilized bone byproducts, and potential as a halal-compliant gelatin source, addressing the growing demand for alternatives to conventional mammalian gelatin in Muslim-majority regions. …”
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    Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

    Published 2025-09-01
    “…Furthermore, the proposed SWO-SRNN was trained using the selected features to predict the ground temperature and Coefficient of Performance (COP), which enables to make appropriate actions to optimize the functioning of GSHP. …”
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  18. 838

    Conscious and unconscious perception of pitch shifts in auditory feedback during vocalization: Behavioral functions and event-related potential correlates by Daniel Suchý, Roozbeh Behroozmand, Henry Railo

    Published 2025-07-01
    “…Source localization of the ERPs suggested that conscious pitch shift detection was associated with increased neural activity within the temporal, frontal and parietal cortical networks known to be involved in speech motor control. …”
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    LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification by Yongqi Xu, Dongcheng Li, Changcheng Li, Zheming Yuan, Zhijun Dai

    Published 2025-08-01
    “…LiSA-MobileNetV2 provides a high-accuracy, resource-efficient solution for real-time rice disease detection in smart farming systems.…”
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