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  1. 381

    Analysis of Pulse System Dynamics of Phase Synchronization in Multiple Capture Mode by A. L. Shilina

    Published 2003-08-01
    “…Mathematical description of the devices is based on the method of space and state variables and makes it possible to take into account not only pulse and non-linear characteristics of these systems but also their various operational modes including multiple captures. …”
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    Three-Dimensional Trajectory Tracking Control for Stratospheric Airship Based on Deep Reinforcement Learning by Xixiang Yang, Fangchao Bai, Xiaowei Yang, Yuelong Pan

    Published 2025-01-01
    “…Focusing on the large error in three-dimensional trajectory decoupling control of stratospheric airship, a three-dimensional trajectory direct tracking control method based on reinforcement learning was researched. According to the discrete state and action space, a Markov decision process model for the three-dimensional trajectory tracking control problem was established. …”
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    An Impulse-C Hardware Accelerator for Packet Classification Based on Fine/Coarse Grain Optimization by O. Ahmed, S. Areibi, R. Collier, G. Grewal

    Published 2013-01-01
    “…Current software-based packet classification algorithms exhibit relatively poor performance, prompting many researchers to concentrate on novel frameworks and architectures that employ both hardware and software components. …”
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    A population Monte Carlo model for underwater acoustic telemetry positioning in reflective environments by James Adam Campbell, Samuel Joseph Shry, Petter Lundberg, Olle Calles, Franz Hölker

    Published 2025-04-01
    “…The PMC‐TOA model was shown to work well as either (i) a pre‐processing step to remove reflected transmissions from time‐of‐arrival datasets, or (ii) a fast and accurate positioning method when paired with a post‐processing statespace model. Positions returned by the model can be further used for animal movement statistics, allowing researchers to test the effects of experimental or environmental factors on the fine‐scaled movement behaviours of aquatic animals in acoustically challenging environments.…”
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  12. 392

    A Task Offloading and Resource Allocation Strategy Based on Multi-Agent Reinforcement Learning in Mobile Edge Computing by Guiwen Jiang, Rongxi Huang, Zhiming Bao, Gaocai Wang

    Published 2024-09-01
    “…Many existing pieces of research adopted single-agent reinforcement learning to solve this problem, which has some defects such as low robustness, large decision space, and ignoring delayed rewards. …”
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    Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

    Published 2025-04-01
    “…The model is a structured state-space model designed to process complex time-series data, and improve efficiency through parallel scan algorithm, making it suitable for large-scale three-dimensional data prediction. …”
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