Ajou University repository

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Showing results 1 to 10 of 5424 (Search time: 0.297 seconds).

Context-aware pub/sub control method using reinforcement learning
  • 2021-08-10
  • Concurrency and Computation: Practice and Experience, Vol.33
  • John Wiley and Sons Ltd
A Framework-Based Multi-Agent Coordination for Enhanced Microgrid Energy Management at the Secondary Control Layer
  • Yoldas, Y.;
  • Onen, A.;
  • Alawasa, K.;
  • Haffar, A. El;
  • Ahshan, R.;
  • Islam, Md R.;
  • Muyeen, S. M.;
  • Noorfatima, N.;
  • Jung, J.
  • 2024-01-01
  • IEEE Transactions on Applied Superconductivity
  • Institute of Electrical and Electronics Engineers Inc.
Energy Efficient Power Allocation in Massive MIMO Based on Parameterized Deep DQNoa mark
  • 2023-11-01
  • Electronics (Switzerland), Vol.12
  • Multidisciplinary Digital Publishing Institute (MDPI)
Double controlled release of highly insoluble cilostazol using surfactant-driven pH dependent and pH-independent polymeric blends and in vivo bioavailability in beagle dogs
  • Nam, Kyu Yeol;
  • Cho, Sang Min;
  • Choi, Youn Woong;
  • Park, Chulhun;
  • Meghani, Nileshkumar M.;
  • Park, Jun Bom;
  • Lee, Beom Jin
  • 2019-03-10
  • International Journal of Pharmaceutics, Vol.558, pp.284-290
  • Elsevier B.V.
Discrete Event Dynamic Modeling and Analysis of the Democratic Progress in a Society Controlled by Networked Agents
  • 2022-01-01
  • IEEE Transactions on Automatic Control, Vol.67, pp.359-365
  • Institute of Electrical and Electronics Engineers Inc.
A Stepwise Methodology Towards the Adaptization of Legacy Systems using Agent-oriented Software Engineering
  • WAVRESKY, FRANCOIS
  • 2015-08
  • The Graduate School, Ajou University
Coordinated multi-agent deep reinforcement learning for energy-aware uav-based big-data platformsoa mark
  • 2021-03-01
  • Electronics (Switzerland), Vol.10, pp.1-15
  • MDPI AG
Achieving a global objective with competing networked agents in the framework of discrete event systems
  • 2020-04-02
  • International Journal of Control, Vol.93, pp.889-897
  • Taylor and Francis Ltd.
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