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Physics-informed neural networks (PINNs) have emerged as an effective technique for solving PDEs in a wide range of domains. Recent research has demonstrated, however, that the performance of PINNs ca...
This talk focuses on the even-triggered cooperative control problem of heterogeneous multi-agent systems (MASs) using data-based reinforcement learning (RL) algorithm. To lower the communication and c...
The complexity of software and software-enabled systems and the need to reduce and master this complexity has led the software quality community to look for inspiration in diverse fields such as robot...
The complexity of software and software-enabled systems and the need to reduce and master this complexity has led the software quality community to look for inspiration in diverse fields such as robot...
Over it's 14 years in existence, ACEC has focused on projects that leverage the adaptability, autonomy and intelligence of first-class software agents for the collaboration that occurs across enterpri...
The 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) will be held in Ljubljana (Slovenia), a beautiful medieval town. Ljubljana lies halfway between Vienna and Venice, at ...
Adaptive Learning Agents (ALA) encompasses diverse fields such as Computer Science, Software Engineering, Biology, as well as Cognitive and Social Sciences. The ALA workshop will focus on agents and m...
Self-adaptation and self-management are key objectives in many modern and emerging software systems, including the industrial internet of things, cyber-physical systems, cloud computing, and mobile co...
This paper describes a new adaptive algorithm that smoothly and dynamically adjusts the system resources of link rates and transmitter powers to maximize the performance of the system. Performance is ...
An adaptive mesh refinement strategy that couples feature detection with local error estimation is presented. The strategyfirst selects vortical regions for refinement using feature ...
Better computational efficiency and reduced computational cost for high order CFD method are areas of active research. In this study, we investigate the potential of using dynamic deforming mesh ...
Feature-detection methods are applied to drive Cartesian-based adaptive mesh re nement for improved vortex resolution in aerodynamics ow elds. Several approaches such as the Q-criterion, the eigenvalu...
An implicit multigrid-driven algorithm for two-dimensional incompressible laminar viscous ows has been coupled with a solution adaptation method and a mesh movement method for boundary movement.Time-...
An implicit muItigrid-driven algorithm for two-dimensional incompres ible laminar viscous flows is coupled with a mesh adaptation method to better capture the important features of the flow for time d...
A grid adaptation strategy is used to capture the wave motions as well as the wavemaker's oscillations. Comparisons are made between the numerical solutions and the tank measurements for the plunging ...

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