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Showing 101 - 120 results of 2,295 for search '((( resourcessssss OR resources) detection functions ) OR ( sources selection functions ))', query time: 0.27s Refine Results
  1. 101

    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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  2. 102
  3. 103

    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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  4. 104
  5. 105

    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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    Article
  6. 106

    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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  7. 107

    New source of cellulase production using a metagenomic technique by Safaa M. Ali, Nadia A. Soliman

    Published 2019-12-01
    “…In the outlook, the metagenomic guide approachs may be functional to the elevated selection of novel cellulase from the environment.…”
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  8. 108

    Research on Interference Resource Optimization Based on Improved Whale Optimization Algorithm by Xuyi Chen, Mingxi Ma, Chengkui Liu, Haifeng Xie, Shaoqi Wang

    Published 2025-01-01
    “…In this problem, this paper establishes an interference resource optimization model with radar detection probability, interference effectiveness, and interference bandwidth utilization as the objective functions. …”
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  9. 109
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  13. 113

    A review on WSN based resource constrained smart IoT systems by Shreeram Hudda, K. Haribabu

    Published 2025-05-01
    “…DL), D2D communication, Computer Vision, and Network Function Virtualization (i.e. NFV). Additionally, it emphasizes assessing and offloading specific IoT application functions onto the network’s edge to enhance performance. …”
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    Article
  14. 114

    Functions of Intertextual Inclusions in Contemporary Publicist Discourse by M. N. Nikolaeva, O. V. Trunova

    Published 2023-11-01
    “…In this case communicative, axiological and pragmatic functions are considered to be the leading ones in linguistic and non-linguistic expressions.Methodology and sources. …”
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  15. 115

    Rice Disease Detection: TLI-YOLO Innovative Approach for Enhanced Detection and Mobile Compatibility by Zhuqi Li, Wangyu Wu, Bingcai Wei, Hao Li, Jingbo Zhan, Songtao Deng, Jian Wang

    Published 2025-04-01
    “…This study aims to develop a rice disease detection model that is highly accurate, resource efficient, and suitable for mobile deployment to address the limitations of existing technologies. …”
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  16. 116
  17. 117

    Phenotypic variation of Thenus spp. (Decapoda, Scyllaridae) in the waters of southern Thailand and Malaysia using multivariate morphometric analysis by Ihsan Hani Radzi, Cheng-Ann Chen, Sukree Hajisamae, Kay Khine Soe

    Published 2025-01-01
    “… Thenus spp. are slipper lobsters which are commercially significant as a food source with good aquaculture potential. This study focuses on collecting population information on Thenus orientalis and Thenus indicus from selected sites in southern Thailand and Malaysia to inform sustainable fisheries management about the resources. …”
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  18. 118

    Biomimetic Microfluidic Pumps for Selective Oil–Water Separation by Zhaolong Wang, Yinfeng Li, Mingzhu Xie, Ziheng Zhan, Wenhao Li, Qihui Xie, Yong Shuai, Zhichao Dong, Zuankai Wang

    Published 2025-07-01
    “…The findings underscore the potential of 3D bionic functional spring microchannels for selectively separating a wide range of oil‐water mixtures with exceptional efficiency.…”
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  19. 119

    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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  20. 120

    A versatile framework for attitude tuning of beamlines at light source facilities by Peng-Cheng Li, Xiao-Xue Bi, Zhen Zhang, Xiao-Bao Deng, Chun Li, Li-Wen Wang, Gong-Fa Liu, Yi Zhang, Ai-Yu Zhou, Yu Liu

    Published 2025-07-01
    “…It supports flexible input/output ports, easy integration of diverse evaluation functions and free selection of optimization algorithms. …”
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