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Showing 1,001 - 1,020 results of 2,583 for search '((( resource OR sourcess) selection functions ) OR ( sources detection functions ))', query time: 0.31s Refine Results
  1. 1001

    The Development and Use of a Genre Statement for Electronic Journals in the Sciences by Jennifer Weintraub

    Published 1998-02-01
    “… Selection of web-based resources affects every division of the academic library. …”
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    Article
  2. 1002
  3. 1003

    cogsworth: A Gala of COSMIC Proportions Combining Binary Stellar Evolution and Galactic Dynamics by Tom Wagg, Katelyn Breivik, Mathieu Renzo, Adrian M. Price-Whelan

    Published 2025-01-01
    “…Alternatively, several analytic models are available for galactic potentials and star formation histories. cogsworth can also transform the intrinsic simulated population into an observed population using dust maps, bolometric correction functions, and survey selection functions. We provide a detailed explanation of the functionality of cogsworth and demonstrate its capabilities through a series of use cases: (1) we predict the spatial distribution of compact objects and runaways in both dwarf and Milky Way–like galaxies; (2) using a star cluster from a hydrodynamical simulation, we show how supernovae can change the orbits of stars in several ways; and (3) we predict the separation of disrupted binary stellar companions on the sky and create a synthetic Gaia color–magnitude diagram. …”
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  4. 1004

    Co-UWSN: Cooperative Energy-Efficient Protocol for Underwater WSNs by S. Ahmed, N. Javaid, F. A. Khan, M. Y. Durrani, A. Ali, A. Shaukat, M. M. Sandhu, Z. A. Khan, U. Qasim

    Published 2015-04-01
    “…Destination and potential relays are selected that utilize distance and signal-to-noise ratio computation of the channel conditions as cost functions. …”
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    Article
  5. 1005

    A Gradient Grating Period Guided-Mode Resonance Spectrometer by Hsin-Yun Hsu, Yi-Hsuan Lan, Cheng-Sheng Huang

    Published 2018-01-01
    “…In this study, a GGP-GMR spectrometer less than 3 mm long that can achieve a wavelength detection range of 200 nm was demonstrated to reconstruct various incident spectra, including a single wavelength of light with a resolution of 0.5 nm, a single wavelength of light with varying intensity levels, and dual incident light sources.…”
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    Article
  6. 1006

    Collective Mapping of Gas Leakages to Determine Safe Routes Using Multi-Robot System by Ronnier Frates Rohrich, Luis Felipe Messias, Jose Lima, Andre Schneider de Oliveira

    Published 2024-01-01
    “…In this study, robot groups act as multiple composite sensors that can move independently according to their assigned functions. Autonomous detection, collective mapping, and collective decision-making of the robots are behaviors bioinspired by the cognitive mechanisms observed in bacterial colonies. …”
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    Article
  7. 1007

    Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

    Published 2025-05-01
    “…Additionally, we employed an enhanced Iforest-OCSVM anomaly detection model to assess the performance of the association rules in detecting abnormal estrus. …”
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    Article
  8. 1008

    Enhancing Value and Efficiency in Egyptian Construction Projects: A Framework for Contractor Performance Assessment Using Value Engineering by May Emam, Sherif El- Attar, Abdullah Mohammed

    Published 2025-05-01
    “…The proposed model integrates function-worth analysis in contractor selection and introduces a Value Index (VI) for real-time performance monitoring. …”
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  9. 1009
  10. 1010

    Signalling and the evolution of cooperative foraging in dynamic environments. by Colin J Torney, Andrew Berdahl, Iain D Couzin

    Published 2011-09-01
    “…In this work, we examine a seemingly altruistic behaviour, the active recruitment of conspecifics to a food resource through signalling. Here collective, cooperative behaviour may provide highly nonlinear benefits to individuals, since group functionality has the potential to be far greater than the sum of the component parts, for example by enabling the effective tracking of a dynamic resource. …”
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    Article
  11. 1011

    PROCESS MANAGEMENT SYSTEMS IN THE BUSINESS-ORIENTED MODEL OF ENTERPRISE DEVELOPMENT by Valentyna A. Pavlova

    Published 2022-12-01
    “…The evolution of management and information technologies is considered, the stages of functionality of business process management systems in which business functions are automated are given. …”
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    Article
  12. 1012

    Transformer-based ECG classification for early detection of cardiac arrhythmias by Sunnia Ikram, Amna Ikram, Harvinder Singh, Malik Daler Ali Awan, Sajid Naveed, Isabel De la Torre Díez, Henry Fabian Gongora, Thania Candelaria Chio Montero

    Published 2025-08-01
    “…However, deployment in real-time or resource-constrained settings will require further optimization and validation.…”
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  13. 1013

    New Inference Procedures for Semiparametric Varying-Coefficient Partially Linear Cox Models by Yunbei Ma, Xuan Luo

    Published 2014-01-01
    “…In biomedical research, one major objective is to identify risk factors and study their risk impacts, as this identification can help clinicians to both properly make a decision and increase efficiency of treatments and resource allocation. A two-step penalized-based procedure is proposed to select linear regression coefficients for linear components and to identify significant nonparametric varying-coefficient functions for semiparametric varying-coefficient partially linear Cox models. …”
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  14. 1014

    Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

    Published 2025-06-01
    “…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
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  15. 1015

    The influence of shot noise on the performance of phase singularity-based refractometric sensors by Maslova Valeria, Ermolaev Georgy, Andrianov Evgeny S., Arsenin Aleksey V., Volkov Valentyn S., Baranov Denis G.

    Published 2025-06-01
    “…This raises a natural question: What happens with the sensitivity and resolution of such a sensor when it operates close to a zero of the response function, where the detected signal may be greatly influenced by various noise sources? …”
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  16. 1016

    Uncertainty-Aware Active Meta-Learning for Few-Shot Text Classification by Sanghyun Seo, Hiskias Dingeto, Juntae Kim

    Published 2025-03-01
    “…Low-resource natural language understanding is one of the challenges in the field of language understanding. …”
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    Article
  17. 1017

    Assembly and comparative analysis of the complete mitochondrial of Spodiopogon sagittifolius, an endemic and protective species from Yunnan, China by Chao Xu, Wei Bi, Ren-yi Ma, Pin-rong Li, Feng Liu, Zhen-wen Liu

    Published 2025-03-01
    “…Synteny and dN/dS analyses revealed structural and functional conservation of mitochondrial genomes in closely related species, with most protein-coding genes under purifying selection (dN/dS < 1). …”
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  18. 1018

    Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

    Published 2024-12-01
    “…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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  19. 1019
  20. 1020

    A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-infrared Light Curves of Active Galactic Nuclei by Di Luo, Ning Jiang, Xin Liu

    Published 2024-01-01
    “…Analyzing a parent sample of 48,932 objects selected from about half a million AGNs, we have identified 28 candidate periodic AGNs with periods ranging from 1268 to 2437 days (in the observer frame), by fitting their WISE light curves with sinusoidal functions. However, our mock simulation of the parent sample indicates that stochastic variability can actually produce a similar number of periodic sources, underscoring the difficulty in robustly identifying real periodic signals with WISE light curves, given their current sampling. …”
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