Showing 181 - 200 results of 2,295 for search '((( source OR sources) selection function ) OR ( resource detection functions ))', query time: 0.35s Refine Results
  1. 181

    Analysis of Facial Cues for Cognitive Decline Detection Using In-the-Wild Data by Fatimah Alzahrani, Steve Maddock, Heidi Christensen

    Published 2025-06-01
    “…Video-based analysis offers a promising, low-cost alternative to resource-intensive clinical assessments. This paper investigates visual features (eye blink rate (EBR), head turn rate (HTR), and head movement statistical features (HMSFs)) for distinguishing between neurodegenerative disorders (NDs), mild cognitive impairment (MCI), functional memory disorders (FMDs), and healthy controls (HCs). …”
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  2. 182
  3. 183

    Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model by Yuan Liu, Yilong Liu, Xiaoyan Guo, Xi Ling, Qingyi Geng

    Published 2025-04-01
    “…Abstract This paper addresses the industrial demand for precision and efficiency in metal surface defect detection by proposing SLF-YOLO, a lightweight object detection model designed for resource-constrained environments. …”
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    Article
  4. 184

    Rationale for obtaining protein concentrate of industrial hemp seeds of Cannabis sativa L. of modern selection based on mathematical modeling and its application in food production by A. V. Petrenko, E. S. Tarasov, O. N. Kaminir, E. N. Guba, E. A. Kalinyuk

    Published 2024-01-01
    “…In general, the studies have shown the feasibility of using protein concentrates from industrial hemp seeds of Cannabis Sativa L of modern selection in food products as a functional and technological ingredient.…”
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  5. 185
  6. 186

    Spatial behavior of mesocarnivores living in seasonal ecosystems: A case study in arid landscapes in northern-central Chile by Darío Moreira-Arce, Pablo M. Vergara, Alex Oporto, Alberto J. Alaniz, Claudia Hidalgo-Corrotea, Alfredo H. Zúñiga, Alejo Gutiérrez, Sebastián Moreno, Daniela Araya, Simone Ciuti

    Published 2025-01-01
    “…Home ranges and Resource Selection Functions were fitted to the GPS data of seven foxes tracked year-round and related to ecological landscape and site-level attributes derived from remote sensing. …”
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  7. 187
  8. 188

    Optical Coherence Tomography in Retinal Detachment: Prognostic Biomarkers, Surgical Planning, and Postoperative Monitoring by Humza Zaidi, Jayanth Sridhar

    Published 2025-03-01
    “…We evaluated studies employing spectral-domain OCT, swept-source OCT, OCT angiography, adaptive optics OCT, and en face OCT to assess photoreceptor integrity, retinal detachment height, intraretinal cystic cavities, outer retinal corrugations and undulation, and macular involvement. …”
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  9. 189

    An Optimized FPGA-Based FDIR System for Sensor Fault Detection in Satellite Attitude Estimation by Xianliang Chen, Zhicheng Xie, Jiashu Wu, Xiaofeng Wu

    Published 2025-01-01
    “…To solve this problem, a Fault Detection, Isolation, and Recovery (FDIR) was proposed, which integrates an adaptive unscented Kalman filter (AUKF), a radial basis function (RBF) neural network for fault detection, and a QUEST-based estimator. …”
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  10. 190

    SECURITY ASSESSMENT OF MOODLE-BASED DISTANCE LEARNING SYSTEM COMPONENTS USING STATIC ANALYSIS TOOLS by Vladislav K. Kuchmin, Grigory O. Krylov

    Published 2025-07-01
    “…Moodle is one of the most popular open source solutions used in university environments, and its modular architecture requires regular security audits due to continuous functional expansion. …”
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  11. 191
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  13. 193

    Dynamic participation in local energy communities with peer-to-peer trading [version 2; peer review: 2 approved, 2 approved with reservations] by Theresia Perger, Hans Auer

    Published 2024-10-01
    “…Conclusions The added value of this work is that the proposed method can be seen as a basis for a selection process between a large number of potential new community members. …”
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  14. 194

    YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

    Published 2025-08-01
    “…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
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  15. 195

    Western spotted skunk spatial ecology in the temperate rainforests of the Pacific Northwest by Marie I. Tosa, Damon B. Lesmeister, Taal Levi

    Published 2024-08-01
    “…Using these home ranges, we fitted a resource selection function using environmental covariates that we assigned to various hypotheses such as resources, predator avoidance, thermal tolerance, and disturbance. …”
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  16. 196

    Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning by Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong, Xiang Zhang, Conghui He, Haohuan Fu

    Published 2025-03-01
    “…In the second stage, to further optimize the pseudo-labels, we effectively utilize the geometric spatial relationships between GIS map data and panoramic street-view images, integrating the building function information with facade detection results. …”
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    SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

    Published 2025-01-01
    “…These results indicate that SDES-YOLO successfully combines efficiency and precision in fall detection. Through these innovations, SDES-YOLO not only improves detection accuracy but also optimizes computational efficiency, making it effective even in resource-constrained environments.…”
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  20. 200

    Quality assessment of garden strawberries of foreign selection by I. M. Novikova, O. M. Blinnikova, A. S. Ilyinsky

    Published 2024-04-01
    “…The importance of using local plant, fruit and other raw materials, which are a source of many deficient vitamins, minerals, insoluble and soluble dietary fiber, as well as other valuable nutrients should be noted. …”
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