Showing 701 - 720 results of 2,295 for search '(( resource detection function ) OR (( source OR sources) selection function ))', query time: 0.35s Refine Results
  1. 701
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    Aligning metrics with meaning: considerations for measurement selection in disability evaluation by Elizabeth Marfeo, Elizabeth Marfeo, Elizabeth K. Rasch, Kathleen Coale, Julia Porcino, Leighton Chan

    Published 2025-08-01
    “…In contrast, performance-based assessments, while useful in certain clinical scenarios, are often resource-intensive and may not accurately reflect real-world functioning. …”
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    Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasksMendeley Data by Ali Nirabi, Faridah Abd Rahman, Mohamed Hadi Habaebi, Khairul Azami Sidek, Siti Yusoff

    Published 2025-06-01
    “…This study's foundation is crucial for advancing stress classification research, with significant implications for cognitive function and well-being.…”
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    Extension Doping with Low‐Resistance Contacts for P‐Type Monolayer WSe2 Field‐Effect Transistors by Sihan Chen, Yue Zhang, William P. King, Rashid Bashir, Arend M. van der Zande

    Published 2025-06-01
    “…Abstract Source/Drain extension doping is crucial for minimizing the series resistance of the ungated channel and reducing the contact resistance of field‐effect transistors (FETs) in complementary metal–oxide–semiconductor (CMOS) technology. 2D semiconductors, such as MoS2 and WSe2, are promising channel materials for beyond‐silicon CMOS. …”
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  8. 708

    HGCS-Det: A Deep Learning-Based Solution for Localizing and Recognizing Household Garbage in Complex Scenarios by Houkui Zhou, Chang Chen, Zhongyi Xia, Qifeng Ding, Qinqin Liao, Qun Wang, Huimin Yu, Haoji Hu, Guangqun Zhang, Junguo Hu, Tao He

    Published 2025-06-01
    “…Finally, the Slide Loss function is applied to dynamically weight hard samples arising from the complex detection environments to improve the recognition accuracy of hard samples. …”
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  9. 709

    Toward Compliance and Transparency in Raw Material Sourcing With Blockchain and Edge AI by Abderrahim Khiari, Anas Osman, Massimo Vecchio, Mattia Antonini, Miguel Pincheira

    Published 2025-01-01
    “…This low-power device enables real-time detection of shipment anomalies such as tampering or unauthorized access, even in offline and resource-limited environments. …”
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  10. 710
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    Waste SMD LEDs from End-of-Life Residential LED Lamps: Presence and Characterisation of Rare Earth Elements and Precious Metals as a Function of Correlated Colour Temperature by Konstantinos M. Sideris, Ioannis Katsiris, Dimitrios Fragkoulis, Vassilis N. Stathopoulos, Panagiotis Sinioros

    Published 2024-12-01
    “…Due to their structure, LED lamps are expected to generate specific waste electrical and electronic equipment (WEEE) streams. LEDs are the main source of luminous flux, and their elemental composition is of particular interest to the recycling sector. …”
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  12. 712

    Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con... by Xiaogang Ma, Bing Shi

    Published 2025-04-01
    “…Conversely, alpha event-related synchronization (ERS) in the parietal and occipital regions, as well as ERS in the frontal, central, and temporal regions, were significantly lower in the experimental group compared to the control group. The source-functional connectivity results revealed that the primary differences between the experimental and control groups were concentrated between the left V1 and right V1, as well as among the posterior parietal cortex (PPC), dorsolateral prefrontal cortex (DLPFC), and primary motor cortex (M1). …”
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  13. 713

    Development of an embedded diagnostic tool for visual misalignment screening by Daniel Soto Rodriguez, Andres Eduardo Rivera Gomez, Ruthber Rodriguez Serrezuela

    Published 2025-09-01
    “…A novel treatment validation mechanism was implemented by analyzing pupil-to-stimulus distance frame-by-frame, confirming reliable eye tracking and the system’s potential for detecting microstrabismus. This open-source, portable prototype is suitable for community health screening and educational use, particularly in low-resource settings.…”
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    AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

    Published 2025-01-01
    “…The incorporation of the Adown module, GMA attention mechanism, and WIoUv3 loss function effectively reduced the model's parameters and computational complexity, while significantly improving the accuracy and robustness of levee crack detection. …”
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    A Census of the Stellar Populations in the Sco-Cen Complex by K. L. Luhman

    Published 2021-01-01
    “…I have used high-precision photometry and astrometry from the early installment of the third data release of Gaia (EDR3) to perform a survey for members of the stellar populations within the Sco-Cen complex, which consist of Upper Sco, UCL/LCC, the V1062 Sco group, Ophiuchus, and Lupus. Among Gaia sources with σ _π < 1 mas, I have identified 10,509 candidate members of those populations. …”
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  19. 719

    Effect of microstructure on lipolysis behavior of milk fat globules during gastrointestinal digestion by Xinyun Zhou, Ting Guo, Chen Chen, Hadiatullah Hadiatullah, Yunping Yao, Changmo Li, Xingguo Wang

    Published 2025-05-01
    “…Milk fat globules (MFG) are the primary source of energy and functional factor in dairy-based products. …”
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  20. 720

    Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR by Tingwei Zhang, Xin Shen, Lin Cao

    Published 2025-05-01
    “…Tree-level structural parameters estimation plays a key role in the researches and practice in sustainable forest management, carbon storage estimation, as well as ecological function evaluation. However, single Light Detection and Ranging (LiDAR) platform exhibits limitations when acquiring complete (i.e., including over-story and under-story) point cloud data for forest stands, e.g., UAV LiDAR systems tend to overlook details of the tree trunk or the lower ground, while Backpack LiDAR systems struggle to capture the treetop, etc. …”
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