Showing 801 - 820 results of 15,549 for search '"adaptation"', query time: 0.12s Refine Results
  1. 801

    Improving Energy Adaptivity of Constructive Interference-Based Flooding for WSN-AF by Dapeng Cheng, Yanyan Mao, Yin Wang, Xiangrong Wang

    Published 2015-06-01
    “…In this paper, we present an energy adaptive CI-based flooding protocol (EACIF) by exploiting CI in WSN-AF. …”
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    Article
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    A Self-Adaptive and Link-Aware Beaconless Forwarding Protocol for VANETs by Changle Li, Yun Chen, Xiaolei Han, Lina Zhu

    Published 2015-08-01
    “…To provide a reliable routing for the data transmission, a self-adaptive and link-aware beaconless forwarding (SLBF) protocol is proposed. …”
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    A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System by S. M. Odeh, A. M. Mora, M. N. Moreno, J. J. Merelo

    Published 2015-01-01
    “…In this work, it has been used to adapt the decision rules of FLCs that define an intelligent traffic signal system, obtaining a higher performance than a classical FLC-based control. …”
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    Article
  9. 809

    Adapting Southeast Asian Best Practices for Sustainable Development in Banyumas Regency by Darmawan Arif, Afwa Ulil, Hongsiwet Sunae, Fitrah Elpeni, Srirejeki Kiky, Miryanti Renny, Yuliantiningsih Aryuni, Pascarina Hanifa

    Published 2025-01-01
    “…This study explores the adaptation of successful sustainable development practices from Southeast Asia to Banyumas Regency, Indonesia, as local implementation of the Sustainable Development Goals (SDGs) becomes crucial. …”
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    Article
  10. 810

    The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing by Yangyang Li, Jianping Zhang, Guiling Sun, Dongxue Lu

    Published 2019-01-01
    “…This paper proposes a novel sparsity adaptive simulated annealing algorithm to solve the issue of sparse recovery. …”
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    Adaptive selection method of desensitization algorithm based on privacy risk assessment by Lijun ZU, Yalin CAO, Xiaohua MEN, Zhihui LYU, Jiawei YE, Hongyi LI, Liang ZHANG

    Published 2023-06-01
    “…The financial industry deals with a vast amount of sensitive data in its business operations.However, the conventional approach of binding financial data for desensitization and using desensitization algorithms is becoming inefficient due to the fast-paced growth of financial businesses and the proliferation of data types.Additionally, manual verification and assessment of desensitized data by security experts are time-consuming and may carry potential privacy risks due to the improper selection of desensitization algorithms.While prior research has emphasized desensitization methods and privacy-preserving technologies, limited work has been conducted on desensitization algorithms from the perspective of automation.To address this issue, an adaptive recommendation framework was propose for selecting desensitization strategies that consider various factors, such as existing privacy protection technologies, data quality requirements of business scenarios, security risk requirements of financial institutions, and data attributes.Specifically, a dual-objective evaluation function was established for privacy risk and data quality to optimize the selection of desensitization algorithm parameters for different algorithms.Furthermore, the desensitization algorithm and parameters were adaptively selected by considering the data attributes through a multi-decision factor system and desensitization effect evaluation system.Compared to traditional approaches, the proposed framework effectively tackle issues of reduced data usability and inadequate personal data privacy protection that derive from manual intervention.Testing on a dataset with multiple financial institution types, the experiments show that the proposed method achieves a recommendation accuracy exceeding 95%, while the desensitized privacy risk level differed by less than 10% from the expected level.Additionally, the recommendation efficiency is 100 times faster than expert manual processing.…”
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  16. 816

    Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

    Published 2025-01-01
    “…The proposed AADRR is more suitable for periodic tasks that employ a dynamic scheduling system and adapt time quantum according to the system state and job features. …”
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  17. 817

    A Universal MDO Framework Based on the Adaptive Discipline Surrogate Model by Hua Su, Chun-lin Gong, Liang-xian Gu

    Published 2018-01-01
    “…To reduce the computing cost and improve solving environment of the traditional MDO solution method, this article introduces a novel universal MDO framework based on the support of adaptive discipline surrogate model with asymptotical correction by discriminative sampling. …”
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