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Showing 681 - 700 results of 2,583 for search '((\ source detection functions\ ) OR (( resource OR resources) selection function\ ))', query time: 0.31s Refine Results
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    Karbon dots (C-dots) dari Bahan Hayati untuk Deteksi Logam Berat by Cut Navita Rahmi, Sri Sugiarti, Alvian Dea Yuliani

    Published 2023-05-01
    “…This study aims to review carbon nanoparticles derived from natural sources for detecting heavy metals. C-dots derived from biological sources have been widely studied as selective heavy metal detection. …”
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    Article
  9. 689

    Newly Isolated Priestia megaterium LAMA1607 for Enhanced Biological Phosphorus Removal: A Genomic and Functional Characterization by Maria Eduarda Castro do Nascimento, Letícia Coelho Montagna, Laíza Manfroi, Yan de Oliveira Laaf, Luigi Ferrazza Maiochi, Marcus Adonai Castro da Silva, André Oliveira de Souza Lima

    Published 2024-12-01
    “…Assembly and annotation were performed using CLC Genomics Workbench v.24.0 (QIAGEN®) and Rapid Annotation using Subsystem Technology (RAST)/Pathosystems Resource Integration Center (PATRIC) server tools. …”
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    The Ecosystem Services Assessment of Wetlands based on the Classification of Hydrological-ecological Structures and Functions (Case study: Shadegan Wetland) by leila Rahimi, Bahram Malekmohammadi, Ahmad reza Yavari

    Published 2019-06-01
    “…Selecting Shadegan International Wetland as a case study in this research, the ecosystem services approach have been applied to ecological conditions assessment of the wetland based on biophysical structures, processes, functions and ecosystem services in a hydrological-ecological framework, which provides a valuable tool for optimal allocation of wetland resources and their effective management, as well as adopting rational and sustainable policies. 2-Materials and Methods The proposed framework can be considered as a hierarchical approach based on the characteristics of biophysical structure, functions and ecosystem services. …”
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    Optimal Planning of Wind-Based DG: A Two-Stage Approach Linking Penetration Factor, Turbine Type Selection, Capacity, and Power Factors to Minimize Line Losses by Sina Saboktakin, Tarek Medalel Masaud, Ehab F. El-Saadany

    Published 2025-01-01
    “…By aligning turbine type selection with the available wind resources at the site, the model maximizes energy production and operational efficiency. …”
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  14. 694

    A deep learning based intrusion detection system for CAN vehicle based on combination of triple attention mechanism and GGO algorithm by Hongwei Yang, Mehdi Effatparvar

    Published 2025-06-01
    “…Within the initial phase, the major features have been extracted, and TAN functions as a descriptor of feature. Then, the discriminating categorizer classifies the current features. …”
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  15. 695

    A comparative framework to develop transferable species distribution models for animal telemetry data by Joshua A. Cullen, Camila Domit, Margaret M. Lamont, Christopher D. Marshall, Armando J. B. Santos, Christopher R. Sasso, Mehsin Al Ansi, Kristen M. Hart, Mariana M. P. B. Fuentes

    Published 2024-12-01
    “…SDMs were fitted as resource selection functions and trained on data from the Gulf of Mexico with bathymetric depth, net primary productivity, and sea surface temperature as covariates. …”
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    Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

    Published 2025-01-01
    “…The proposed approach further integrates a variable-parameter PSO (VP-PSO) algorithm to optimize both fuzzy membership functions and controller parameters. Comprehensive simulations demonstrate 100% detection accuracy for both PV and wind farm islanding scenarios, significantly outperforming conventional methods: standard SFS (84-86%), type-1 fuzzy SFS (89-91%), and neural network approaches (94-95%). …”
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    A hybrid Bi-LSTM model for data-driven maintenance planning by Alexandros Noussis, Ryan O’Neil, Ahmed Saif, Abdelhakim Khatab, Claver Diallo

    Published 2025-06-01
    “…Hence, this paper develops a hybrid DL model using Monte Carlo dropout to generate RUL predictions which are used to construct empirical system reliability functions used for the optimization of the selective maintenance problem (SMP). …”
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    The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

    Published 2024-12-01
    “…The sett is a crucial resource for badgers, serving various functions and significantly influencing their spatial ecology. …”
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