Showing 361 - 380 results of 1,441 for search 'sources utilization function', query time: 0.13s Refine Results
  1. 361

    Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

    Published 2025-08-01
    “…Secondly, renewable energy sources such as wind-solar-EV are integrated with the aforesaid systems for lowering fuel cost, emission, active power loss (APL), aggregated voltage deviation (AVD), voltage stability index (VSI) and also cost, emision, APL, AVD, VSI are reduced simultaneously considering different cases for multi-objective functions.Proposed sine-cosine algorithm (SCA) embedded with quasi-oppositional based learning (QOBL), known as QOSCA is used to balance the exploration and exploitation ability in order to overcome shortcomings and provide global optimal solutions. …”
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  2. 362
  3. 363

    An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

    Published 2025-01-01
    “…Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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    Article
  4. 364

    The Impact of Differences in Renovation Models of Abandoned Boiler Rooms on Community Vitality—A Case Study of Shenyang, China by Lei Chen, Yahang Cheng, Zixi Zhou, Yibo Wen

    Published 2025-05-01
    “…We identify a “functional hybridization–spatial permeability–usage sustainability” mechanism underlying renovation efficacy and recommend the community service center paradigm as a priority strategy. …”
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    Article
  5. 365

    Assessment of Fresh Water Reallocation by Treated Wastewater for Irrigation by Mohammad A. Tabieh, Emad K. Al-Karablieh, Tala H. Qtaishat, Amer Z. Salman, Nael H. Thaher, Nehaya K. Al-Karablieh, Madi T. Al-Jaghbir, Tharaa M. Al-Zghoul, Ahmad I. Jamrah

    Published 2025-03-01
    “…Despite its potential to mitigate water scarcity, concerns about soil health, crop yield, and land utilization hinder widespread adoption. The research measures farm profitability and farmers' willingness to embrace TWW through various blending scenarios with traditional surface water sources, incorporating a yield response function to salinity within the profit function. …”
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    Article
  6. 366

    Revisiting the Conventional Extraction of Protein Isolates from Faba Beans: Recovering Lost Protein from Sustainable Side Streams by Abraham Badjona, Robert Bradshaw, Caroline Millman, Martin Howarth, Bipro Dubey

    Published 2025-05-01
    “…SDS-PAGE and FTIR analyses confirmed the structural diversity among the recovered fractions, with albumin-rich and globulin-rich profiles exhibiting unique spectral and electrophoretic signatures. Functionally, fractions B and D exhibited superior water- and oil-holding capacities, indicating their potential utility in food formulations requiring enhanced moisture and lipid retention. …”
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  7. 367
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  9. 369

    Power and Frequency Control of Active Generator used for Smart Grid Applications by Ehsan Limouchi, Seyed Abbas Taher, Babak Ganji

    Published 2024-02-01
    “…Nowadays, renewable energy sources such as photovoltaic and active generators are utilized frequently in modern power systems especially micro-grid. …”
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  10. 370

    Kolmogorov–Arnold Networks for Interpretable Crop Yield Prediction Across the U.S. Corn Belt by Mustafa Serkan Isik, Ozan Ozturk, Mehmet Furkan Celik

    Published 2025-07-01
    “…This study presents a state-of-the-art explainable artificial intelligence (XAI) method to estimate corn yield prediction over the Corn Belt in the continental United States (CONUS). We utilize the recently introduced Kolmogorov–Arnold Network (KAN) architecture, which offers an interpretable alternative to the traditional Multi-Layer Perceptron (MLP) approach by utilizing learnable spline-based activation functions instead of fixed ones. …”
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  11. 371

    Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

    Published 2025-04-01
    “…Principal component analysis and information entropy performed better in identifying construction and corridor areas, whereas nonlinear fusion showed advantages in source area identification. This study makes three key contributions: (1) it establishes a novel methodological framework for incorporating vertical geological factors into ESP construction, addressing a significant gap in traditional approaches; (2) it quantitatively reveals the spatial heterogeneity of land subsidence impacts on different functional ecological zones, providing evidence-based guidance for targeted management; and (3) it demonstrates the effectiveness of deep learning and multisource data fusion techniques in complex ecological-geological system modeling. …”
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  12. 372

    Environmental adaptations in metagenomes revealed by deep learning by Johanna C. Winder, Simon Poulton, Taoyang Wu, Thomas Mock, Cock van Oosterhout

    Published 2025-08-01
    “…In this study, we applied a transfer learning approach using the ESM-2 protein structure prediction model and our own smaller ANN to classify proteins containing the domain of unknown function 3494 (DUF3494) by their source environments. …”
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  13. 373
  14. 374

    Cropland non-agriculturization and agricultural green development: Evidence from the Yangtze River Economic Belt, China by Chunxia Zhu, Yangyang Sun, Haolun Xu

    Published 2025-01-01
    “…Employing the biennial non-radial directional distance function and Luenberger index, the agricultural green total factor productivity (AGTFP) has been measured under the dual constraints of “carbon source” and “carbon sink”. …”
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  15. 375
  16. 376

    Plug-and-Play PRNU Enhancement Algorithm with Guided Filtering by Yufei Liu, Yanhui Xiao, Huawei Tian

    Published 2024-12-01
    “…Previous studies have not successfully identified the effective frequency band of PRNU, leaving low-frequency interference insufficiently suppressed and impacting PRNU’s utility in scenarios such as source camera identification, image integrity verification, and identity verification. …”
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  17. 377

    A Strategy for Enhanced Post-FRT Active Power Recovery in Expandable Point-to-Point VSC-HVdc Links by Arcadio Perilla, Jose Luis Rueda Torres

    Published 2025-01-01
    “…The proposed strategy is developed by defining exponentially decaying functions, which, depending on the HVDC network configuration of the expandable HVDC system, alter the active current reference in a voltage source converter (VSC) affected by an AC network’s disturbance, without utilizing proportional-integral (PI) controllers. …”
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  18. 378

    Urban Traffic State Sensing and Analysis Based on ETC Data: A Survey by Yizhe Wang, Ruifa Luo, Xiaoguang Yang

    Published 2025-06-01
    “…Meanwhile, ETC data-based urban traffic management is transitioning from passive responses to proactive prediction, from single functions to comprehensive services, and from isolated systems to integrated platforms. …”
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  19. 379

    A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

    Published 2025-07-01
    “…The proposed method enhances flexibility and ultimately increases system stability while maintaining diversity in energy sources. Additionally, the utilization of equipment such as various storage devices and P2G enhances system resilience, reducing load fluctuations and improving resource utilization. …”
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  20. 380

    A novel speaker verification approach featuring multidomain acoustics based on the weighted city-block Minkowski distance by Khushboo Jha, Sumit Srivastava, Aruna Jain

    Published 2025-04-01
    “…Parameters are computed based on the confusion matrix, template matching distance functions, dynamic acoustic conditions, and additive white Gaussian noise. …”
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