Search alternatives:
conductivity » productivity (Expand Search)
Showing 461 - 480 results of 1,849 for search 'Dynamic network conductivity', query time: 0.16s Refine Results
  1. 461
  2. 462

    Multi‐Walled Carbon Nanotubes Suspensions as Liquid Conductors: Electrical and Mechanical Network Interplay by Sergio Lago‐Garrido, Dominik S. Schmidt, María J. Martín‐Alfonso, Lola González‐García

    Published 2025-07-01
    “…It is found that electrical conductivity occurs without the presence of a rigid mechanical network, which allows MWCNT suspensions to be electrically conductive even under flow conditions. …”
    Get full text
    Article
  3. 463
  4. 464

    Backstepping Command Filter Control for Electromechanical Servo Systems with Unknown Dynamics Based on Reinforcement Learning by Chenchen Xu, Jian Hu, Jiong Wang, Wenxiang Deng, Jianyong Yao, Xiaoli Zhao

    Published 2025-03-01
    “…To address the challenges of acquiring precise dynamic models for electromechanical servo systems and the susceptibility of system state information to noise, a backstepping command filter controller based on reinforcement learning is proposed. …”
    Get full text
    Article
  5. 465

    Rapid Urban-Scale Building Collapse Assessment Based on Nonlinear Dynamic Analysis and Earthquake Observations by Mahnoosh Biglari, Hiroshi Kawase, Iman Ashayeri

    Published 2024-10-01
    “…This study aims to present a rapid method for such an urban-scale building collapse evaluation by conducting a nonlinear dynamic analysis of modeled buildings. …”
    Get full text
    Article
  6. 466

    Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning by Jiandong Liu, Wei Luo, Guoqing Zhang, Ruihao Li

    Published 2025-02-01
    “…Concurrently, a novel data storage system for deep Q-networks (DQN), named dynamic data memory (DDM), is introduced to hasten the learning process and convergence for UAVs. …”
    Get full text
    Article
  7. 467
  8. 468

    Research on Maneuvering Motion Prediction for Intelligent Ships Based on LSTM-Multi-Head Attention Model by Dongyu Liu, Xiaopeng Gao, Cong Huo, Wentao Su

    Published 2025-03-01
    “…Subsequently, we develop a black-box model for intelligent ship maneuvering motion prediction based on LSTM networks and Multi-Head Attention Mechanisms. We conduct a comprehensive analysis and discussion of the model structure and hyperparameters, iteratively optimize the model, and compare the optimized model with standalone LSTM and MHAM approaches. …”
    Get full text
    Article
  9. 469
  10. 470
  11. 471

    Evaluation of the microbial community in various saline alkaline-soils driven by soil factors of the Hetao Plain, Inner Mongolia by Xiao-yu Zhao, Ju-lin Gao, Xiao-fang Yu, Qing-geer Borjigin, Jiawei Qu, Bi-zhou Zhang, Sai-nan Zhang, Qiang Li, Jiang-an Guo, Dong-bo Li

    Published 2024-11-01
    “…The soil chemical properties were analyzed, and the microbial diversity of bacteria and fungi was measured using 16 S rRNA and ITS rRNA amplicon sequencing. The dynamic relationship between the soil microbial community and soil factors was analyzed using the ABT (Aggregate Enhanced tree) model, the co-occurrence network, and the structural equation model. …”
    Get full text
    Article
  12. 472

    The Applications and Complexity Analysis Based on Network Embedding Behaviors under Evolutionary Game Framework by Xin Su, Hui Zhang, Shubing Guo

    Published 2020-01-01
    “…We construct game models of network embedding behaviors of horizontal and vertical enterprises in supply chain, explain the repeated games of random pairs of enterprises by replication dynamic differential equations, study the characteristics and evolution trend of this flow, conduct simulation experiments, clarify the evolution direction and law of network embedding strategy selection of supply chain enterprises, and discuss the stable state of evolutionary game and its dynamic convergence process. …”
    Get full text
    Article
  13. 473

    Data Processing and Algorithm Analysis of Vehicle Path Planning Based on Wireless Sensor Network by Wenyuan Tao, Mingqin Chen

    Published 2013-04-01
    “…In this paper, we present a data analysis algorithm that determines an efficient dynamic path for vehicle repair-scrap sites and navigates more flexibly to avoid obstacles, where the key idea is to design the sensor wireless network that helps to obtain data from different devices. …”
    Get full text
    Article
  14. 474

    Development of a Bayesian Network-Based Parallel Mechanism for Lower Limb Gait Rehabilitation by Huiguo Ma, Yuqi Bao, Chao Jia, Guoqiang Chen, Jingfu Lan, Mingxi Shi, He Li, Qihan Guo, Lei Guan, Shuang Li, Peng Zhang

    Published 2025-04-01
    “…Kinematic analysis verifies that the structural design of the device is reasonable, aiding in improving patients’ gait, enhancing strength, and restoring flexibility. The Bayesian network model achieves personalized rehabilitation goal optimization through dynamic probability updates. …”
    Get full text
    Article
  15. 475

    Intent-driven intelligent orchestration for satellite-terrestrial networks:system architecture and key technologies by FAN Rongqian, CHENG Zhimi, LI Qiao, YANG Chungang, OUYANG Ying, WANG Pu

    Published 2025-05-01
    “…Intent-driven networks, leveraging natural language understanding technology and closed-loop dynamic feedback mechanisms, can provide adaptability and intelligence for satellite-terrestrial networks. …”
    Get full text
    Article
  16. 476
  17. 477

    Analyzing the economic logic of urban and regional systems from the point of view of Agglomeration and network by Sedigheh Lotfi, Mojtaba Shahabi Shamiri

    Published 2024-12-01
    “…In recent years, various studies have been conducted regarding the logic governing the spatial organization of urban systems in Iran, emphasizing the transition of size-based and network-based paradigms. …”
    Get full text
    Article
  18. 478
  19. 479

    Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams by Ocheme Anthony Ekle, William Eberle

    Published 2024-05-01
    “…Given a large graph stream with dynamically changing structures over a given timestep, it is important to detect the sudden appearance of anomalous patterns, such as sudden spikes in IP-network attacks or unexpected surges in social media followers. …”
    Get full text
    Article
  20. 480

    Exploring nanoparticle dynamics in binary chemical reactions within magnetized porous media: a computational analysis by Saleem Nasir, Abdallah Berrouk, Asim Aamir

    Published 2024-10-01
    “…Artificial neural networks offer a special computational architecture that is extremely valuable in disciplines like biotechnology, biological computing, and computational fluid dynamics. …”
    Get full text
    Article