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Showing 461 - 480 results of 2,295 for search '(( resources detection functions ) OR (( source OR sources) selection functions ))', query time: 0.35s Refine Results
  1. 461
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    DECISION TREE WITH HILL CLIMBING ALGORITHM BASED SPECTRUM HOLE DETECTION IN COGNITIVE RADIO NETWORK by N Suganthi, R Meenakshi, A Sairam, M Parvathi

    Published 2025-06-01
    “…The approach integrates a Decision Tree (DT) algorithm for rapid initial classification of Primary User (PU) activity, followed by a Hill Climbing (HC) optimization algorithm that fine-tunes the detection based on a fitness function. Entropy and throughput metrics are employed as decision conditions at each sensing channel, enhancing uncertainty measurement and maintaining detection robustness under low Signal-to-Noise Ratio (SNR) conditions. …”
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  3. 463
  4. 464

    TCE-YOLOv5: Lightweight Automatic Driving Object Detection Algorithm Based on YOLOv5 by Han Wang, Zhenwei Yang, Qiaoshou Liu, Qiang Zhang, Honggang Wang

    Published 2025-05-01
    “…Finally, the EIOU loss function is introduced to measure the overlap between the predicted box and the real box more accurately and improve the detection accuracy. …”
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  5. 465

    YOLOv8n-DDSW: an efficient fish target detection network for dense underwater scenes by Jinwang Yi, Wei Han, Fangfei Lai

    Published 2025-04-01
    “…Therefore, the YOLOv8n-DDSW fish target detection algorithm was proposed in this article to resolve the detection difficulties resulting from fish occlusion, deformation and detail loss in complex intensive aquaculture scenarios. (1) The C2f-deformable convolutional network (DCN) module is proposed to take the place of the C2f module in the YOLOv8n backbone to raise the detection accuracy of irregular fish targets. (2) The dual-pooling squeeze-and-excitation (DPSE) attention mechanism is put forward and integrated into the YOLOv8n neck network to reinforce the features of the visible parts of the occluded fish target. (3) Small detection is introduced to make the network more capable of sensing small targets and improving recall. (4) Wise intersection over union (IOU) rather than the original loss function is used for improving the bounding box regression performance of the network. …”
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  6. 466

    Securing Wireless Communications with Energy Harvesting and Multi-antenna Diversity by Nguyen Quang Sang, tran Cong Hung, tran Trung Duy, minh Tran, byung Seo Kim

    Published 2025-04-01
    “…A time-switching protocol enables the source node S to alternate between energy harvesting and secure data transmission. …”
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    Elucidating the role of compositional and processing variables in tailoring the technological functionalities of plant protein ingredients by Lorenzo Barozzi, Stella Plazzotta, Ada Nucci, Lara Manzocco

    Published 2025-01-01
    “…However, other extraction, purification, and drying methods can be properly combined, resulting in specific PP ingredient functionalities. Overall, this review highlights that, besides protein purity and source, knowledge of the processing history is required to select PP ingredients with desired functionalities.…”
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  10. 470
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    Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction by P. Kumudha, R. Venkatesan

    Published 2016-01-01
    “…Effective prediction of software modules, those that are prone to defects, will enable software developers to achieve efficient allocation of resources and to concentrate on quality assurance activities. …”
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  12. 472
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    A High‐Quality Reference Genome and Comparative Genomics of the Widely Farmed Banded Cricket (Gryllodes sigillatus) Identifies Selective Breeding Targets by Shangzhe Zhang, Kristin R. Duffield, Bert Foquet, Jose L. Ramirez, Ben M. Sadd, Scott K. Sakaluk, John Hunt, Nathan W. Bailey

    Published 2025-03-01
    “…The high‐quality G. sigillatus genome assembly plus accompanying comparative genomic analyses serve as foundational resources for both applied and basic research on insect farming and behavioural biology, enabling researchers to pinpoint trait‐associated genetic variants, unravel functional pathways governing those phenotypes, and accelerate selective breeding efforts to increase the efficacy of large‐scale insect farming operations.…”
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  14. 474

    Spatio-temporal dynamics of ecosystem service value functions in response to landscape fragmentation in Boma-Gambella trans-boundary landscape, Southwest Ethiopia and East South Su... by Azemir Berhanu Getahun, Amare Bantider Dagnew, Desalegn Yayeh Ayal

    Published 2025-07-01
    “…Abstract The study investigates the effects of landscape fragmentation on ecosystem services in the Boma-Gambella Trans-Boundary Landscape, which spans Southwest Ethiopia and East South Sudan. The data sources include satellite imagery acquired from the United States Geological Survey. …”
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  15. 475

    Estimating Leaf Chlorophyll Fluorescence Parameters Using Partial Least Squares Regression with Fractional-Order Derivative Spectra and Effective Feature Selection by Jie Zhuang, Quan Wang

    Published 2025-02-01
    “…While hyperspectral reflectance offers a promising data source for estimating ChlF parameters, previous studies have relied primarily on spectral indices derived from specific datasets, which often lack robustness. …”
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    Detection of Greenhouse and Typical Rural Buildings with Efficient Weighted YOLOv8 in Hebei Province, China by Bingkun Wang, Zhiyuan Liu, Jiangbo Xi, Siyan Gao, Ming Cong, Haixing Shang

    Published 2025-05-01
    “…The large-scale detection of greenhouses and rural buildings is important for natural resource surveys and farmland protection. …”
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  19. 479

    The Artificial Intelligence-Enhanced Echocardiographic Detection of Congenital Heart Defects in the Fetus: A Mini-Review by Khadiza Tun Suha, Hugh Lubenow, Stefania Soria-Zurita, Marcus Haw, Joseph Vettukattil, Jingfeng Jiang

    Published 2025-03-01
    “…We envision that, through the combination of tele-echocardiography and AI, low-resource medical facilities may gain access to the effective detection of CHD at the prenatal stage.…”
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  20. 480

    A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

    Published 2025-01-01
    “…Abstract Electrochemical energy conversion technologies include proton exchange membrane fuel cells (PEMFCs) where proton interchange is an alternative to diesel distributed generation, and PEMFCs are considered as a promising backup power source and a tool to regulate power consumption. Some of the major benefits of these PEMFCs especially in power system applications include low emission of carbon, fast load following capability, no noise and high start-up reliability. …”
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