Showing 1,221 - 1,240 results of 15,549 for search '"adaptation"', query time: 0.07s Refine Results
  1. 1221

    Hybrid Filtered-x Adaptive Vibration Control with Internal Feedback and Online Identification by Lihua Yang, Shuyong Liu, Haipeng Zhang, Haiping Wu, Haifeng Li, Jian Jiang

    Published 2018-01-01
    “…In this paper, a novel hybrid improved adaptive control strategy, feedback and online identification filtered-x LMS, namely, FOFxlms, is proposed, which introduces the residual errors to correct variable step-size, uses the estimated primary path to improve online identification, and applies internal feedback to compensate for the feedforward control. …”
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  2. 1222
  3. 1223

    A Reliability-Based Network Equilibrium Model with Adaptive Risk-Averse Travelers by Lei Zhao, Hongzhi Guan, Junze Zhu, Yunfeng Wei

    Published 2018-01-01
    “…Under truncated travel time distribution, the risk-averse levels of travelers are adaptive, which are affected by the characteristics of the used routes besides the confidence level of travelers. …”
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  4. 1224

    Activity of Antiseptics Against <i>Pseudomonas aeruginosa</i> and Its Adaptation Potential by Tomasz M. Karpiński, Marzena Korbecka-Paczkowska, Mark Stasiewicz, Aleksandra E. Mrozikiewicz, Donald Włodkowic, Judyta Cielecka-Piontek

    Published 2025-01-01
    “…This study evaluated the activity of eight antiseptics against <i>P. aeruginosa</i>, assessed its ability to develop adaptation to these antiseptics, and, for the first time, determined the Karpinski Adaptation Index (KAI) for this bacterium. …”
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    Adaptive opportunistic routing protocol based on forwarding-utility for delay tolerant networks by WANG Bo1, HUANG Chuan-he1, YANG Wen-zhong2

    Published 2010-01-01
    “…An adaptive opportunistic routing algorithm based on utility called URD was proposed,and then the effectiveness of this algorithm was analyzed.At last,this algorithm was implemented using Java by ONE simulation tool and its performance was verified with the classical algorithms:Epidemic,PRoPHET and SprayAndWait.Simulation results show that URD algorithm can increase the probability of encountering opportunity between nodes,improve the efficiency of forwarding packets and reduce the delay overhead of network.…”
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  9. 1229

    Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning by Xiaofeng Hong, Walid Ayadi, Khalid A. Alattas, Ardashir Mohammadzadeh, Mohamad Salimi, Chunwei Zhang

    Published 2025-01-01
    “…The controller parameters are optimized using MAOPRL in an adaptive manner, which involves the use of an actor-critic approach in an adaptive fashion. …”
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  10. 1230

    Navigating the Endodontic Challenge of a 40 mm Canine and Its Technical Adaptations by Siavash Moushekhian, Pooya Saeedi, Zoha Sahebnasagh

    Published 2024-01-01
    “…The aim of this case report is to present the successful endodontic management of an abnormally long right maxillary canine diagnosed with symptomatic irreversible pulpitis, highlighting the technical adaptations employed during treatment. Summary. Technical adaptations included modifying the handle of the endodontic hand file and utilizing a side-vented microcannula for irrigation using positive and negative pressure technique. …”
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  11. 1231

    Adaptive Fault-Tolerant Control for Flight Systems with Input Saturation and Model Mismatch by Man Wang, Jianying Yang, Nan Li

    Published 2013-01-01
    “…Under this circumstance, an adaptive reference model which can also provide satisfactory performance is designed. …”
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  12. 1232

    Multi-group target tracking method based on adaptive predictive clustering in WSN by Shumu LIU, Jian YANG, Yuansong LI

    Published 2016-07-01
    “…Aiming at the imbalance between energy using and tracking accuracy in multi-sensor target tracking,a method of trade-off network lifetime and accuracy was proposed.It was a multi-group target tracking method based on adaptive predictive clustering (APCMT),realizing the simultaneous tracking of multiple groups.Firstly,cluster was realized,which was to capture the changes of group behavior attributes,such as forming,mergering and spliting.Then,sensors were selected,which were expected to contribute to the group area sensor activation,and the sensors were used for group tracking.Scene simulation was in a square area of 1 000 m ×1 000 m with 500 randomly deployed sensors.The effectiveness of the proposed method was verified by the simulation results.Compared with Kalman,energy-effective node selection (EENS) method and the improved dynamic cluster (IDC) method,the tracking precision of proposed method was higher.And because of the number of activate sensors was less,the computational time was less,the network lifetime had been improved significantly.…”
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  13. 1233

    Single Parameter Adaptive Control of Unknown Nonlinear Systems with Tracking Error Constraints by Hongjun Yang, Zhijie Liu, Shuang Zhang

    Published 2018-01-01
    “…This paper investigates a single parameter adaptive neural network control method for unknown nonlinear systems with bounded external disturbances. …”
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    Hypoxia Inducible Factor Pathway and Physiological Adaptation: A Cell Survival Pathway? by Hemant Kumar, Dong-Kug Choi

    Published 2015-01-01
    “…We emphasize the roles of the HIF pathway in physiological adaptation, cell death, pH regulation, and adaptation during exercise.…”
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    A New Fractional-Order Hyperchaotic System and Its Adaptive Tracking Control by Yinlan Chen, Haodong Zhang, Xu Kong

    Published 2021-01-01
    “…Simulation results illustrate the validity and performability of the proposed adaptive tracking control scheme.…”
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  18. 1238

    Case study of business model adaptation in the travel industry: targeting generation z by Erwin Iriyanto Siagian, Nurul Anisa

    Published 2024-12-01
    “…This research aims to analyze the adaptation of Travel Hajimena Berkah Jaya's business model in reaching Generation Z, a demographic group heavily influenced by digital technology. …”
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    Virtual Reconstruction-Based Robust Adaptive Beamforming for Distributed Digital Subarray Antennas by Jian Lu, Jian Yang, Bo Hou, Fengchao Zhu, Zhiyong Yu, Guangbin Liu

    Published 2021-01-01
    “…At low signal-to-noise ratio (SNR), the DOA estimation of the desired signal is implemented by subarray adaptive beamforming. Finally, with the steering vector of the desired signal and reconstructed INCM, the weight vector of the proposed beamformer can be obtained, which must be applied to the rearranged data matrix received by the actual and virtual elements. …”
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