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Showing 981 - 1,000 results of 2,583 for search '((\ source detection functions\ ) OR (( resources OR resource) selection function\ ))', query time: 0.33s Refine Results
  1. 981

    Water quality anomaly detection research based on GRU-PINN model by Zhao Xinyu

    Published 2025-01-01
    “…Maintaining high-quality water resources is essential for sustainable urban water resource management and public health. …”
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    Article
  2. 982

    BUILDING AND DEVELOPING A PROJECT TEAM ON THE BASIS OF A MULTICRITERIA MODEL by Nataliia Kosenko, Alona Kolomiiets

    Published 2017-11-01
    “…The methods used are: multicriteria assessment and optimization methods, utility function. The following results are obtained. The general task of managing human resources and building a team for a new project was analyzed. …”
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    Article
  3. 983

    Exploring genetic diversity and genomic inbreeding across local beef cattle breeds by G. Gomez Proto, E. Mancin, A. Quaglia, F. Sbarra, R. Mantovani, C. Sartori

    Published 2025-07-01
    “…Beef cattle breeds from Central and Southern Italy, such as Marchigiana, Chianina, Romagnola, Maremmana, and Podolica, represent a unique genetic resource shaped by centuries of natural and artificial selection. …”
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    Article
  4. 984

    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
  5. 985

    Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring by Rui Zhu, Enting Zhao, Chunhe Hu, Jiangjian Xie, Junguo Zhang, Huijian Hu

    Published 2025-07-01
    “…By integrating K-means clustering for sample selection and a triplet loss function for model optimization, the approach effectively distinguishes subtle feature differences in false-triggered images. …”
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    Article
  6. 986
  7. 987

    Load balancing method of service cluster based on mean-variance by Xiaoan BAO, Xue WEI, Lei CHEN, Guoheng HU, Na ZHANG

    Published 2017-01-01
    “…When a large number of concurrent requests are allocated,the load scheduling mechanism is to achieve the load balancing of nodes in the network by minimizing the response time and maximizing the utilization ratio of nodes.In the load balancing algorithm based on genetic algorithm,the fitness function is designed to have an important influence on the load balancing efficiency.A service cluster load balancing method based on mean-variance was proposed to optimize the fitness function.The investment portfolio selection model mean-variance was used to minimize the response time,which was used to get the weight of each server's resource utilization,so as to obtain the optimal allocation combination.This method improves the accuracy and efficiency of the fitness function.Compared with other models in different service environment,the simulation results show that the load balancing algorithm makes the service cluster get a better balance performance in terms of node utilization and response time.…”
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  8. 988

    IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks by Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang

    Published 2025-04-01
    “…Network pruning is a deep learning model compression technique aimed at reducing model storage requirements and decreasing computational resource consumption. However, mainstream pruning techniques often encounter challenges such as limited precision in feature selection and a diminished feature extraction capability. …”
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    Article
  9. 989

    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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    Article
  10. 990

    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
  11. 991

    Does tinnitus and emotional distress influence central auditory processing? A comparison of acute and chronic tinnitus in normal-hearing individuals. by Qian Zhou, Wenling Jiang, Haibin Sheng, Qinjie Zhang, Dian Jin, Haifeng Li, Meiping Huang, Lu Yang, Yan Ren, Zhiwu Huang

    Published 2025-01-01
    “…<h4>Design</h4>This study compared the auditory afferent and efferent functions of normal-hearing patients with acute tinnitus, chronic tinnitus, and control group using gap detection test, the Mandarin Hearing in Noise Test (MHINT), and contralateral suppression of transient evoked otoacoustic emissions (TEOAEs).…”
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  12. 992

    Urinary Exosomes by Irena Dimov, Ljubinka Jankovic Velickovic, Vladisav Stefanovic

    Published 2009-01-01
    “…Thus, UE have valuable potential as a source of biomarkers for early detection of various types of diseases, monitoring the disease evolution and/or response to therapy. …”
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    Article
  13. 993
  14. 994
  15. 995

    A Bio-Inspired QoS-Oriented Handover Model in Heterogeneous Wireless Networks by Daxin Tian, Jianshan Zhou, Honggang Qi, Yingrong Lu, Yunpeng Wang, Jian Wang, Anping He

    Published 2014-01-01
    “…Furthermore, the comparative analysis also shows that the bio-inspired model outperforms the utility function based handover decision scheme in terms of ensuring a better QoS satisfaction and a better fairness of network resources allocation in dynamic heterogeneous wireless networks.…”
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    Article
  16. 996

    Multifunctional Evaluation and Spatio-temporal Evolution Analysis of Cultivated Land in Guangdong Province by Junmei ZANG, Xiao FU, Shengxiang LIU, Hui LI

    Published 2025-01-01
    “…【Objective】The study aims to investigate the spatio-temporal dynamics of cultivated land use functions in 21 prefecture-level cities in Guangdong Province, and to promote the sustainable utilization of cultivated land resources and optimal allocation of cultivated land use functions in Guangdong Province.…”
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  17. 997

    Data‐sharing strategies in medical consortium based on master‐slave multichain and federated learning by Bohan Kang, Ning Zhang, Jianming Zhu

    Published 2024-12-01
    “…Meanwhile, by quantifying the utility function and the optimization constraint of participants, this paper designs the cooperative incentive mechanism of medical consortium in multi‐leader Stackelberg game to solve the optimal decision and pricing selection of the master‐slave multichain. …”
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    Article
  18. 998

    Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction. by Amal H Alharbi, Faris H Rizk, Khaled Sh Gaber, Marwa M Eid, El-Sayed M El-Kenawy, Ehsan Khodadadi, Nima Khodadadi

    Published 2025-01-01
    “…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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  19. 999

    Advances in key technologies for the management, restoration, development, and utilization of coal mining subsidence areas by Zhuanghan MENG, Yutao WANG, Yanzhe TIAN

    Published 2025-07-01
    “…For ecological conservation areas in alpine forest lands and grasslands, the selection and configuration of hardy plants, the construction of matching soil matrix, reasonable artificial vegetation rehabilitation, and differential water resource management have been combined to address the challenge in ecological reconstruction in extreme environments. …”
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  20. 1000