Shared autonomous mobility on demand: A learning-based approach and its performance in the presence of traffic congestion
Mobility-on-demand (MOD) systems consisting of shared autonomous vehicles (SAVs) are
expected to improve the efficiency of urban transportation through reduced vehicle …
expected to improve the efficiency of urban transportation through reduced vehicle …
Optimal dynamic thermal management for data center via soft actor-critic algorithm with dynamic control interval and combined-value state space
Y Guo, S Qu, C Wang, Z **ng, K Duan - Applied Energy, 2024 - Elsevier
As the scale of data centers continues to expand, the environmental impact of their energy
consumption has become a major concern, highlighting the increasing importance of …
consumption has become a major concern, highlighting the increasing importance of …
Towards a methodology for building dynamic urgent applications on continuum computing platforms
Advanced cyberinfrastructure aims at making the use of streaming data a common practice
in the scientific community. They offer an ecosystem that links data, compute, network, and …
in the scientific community. They offer an ecosystem that links data, compute, network, and …
Combining neural gas and reinforcement learning for adaptive traffic signal control
Travel time of vehicles in urban traffic networks can be reduced by using Adaptive Traffic
Signal Control (ATSC) to change the signal program according to the current traffic situation …
Signal Control (ATSC) to change the signal program according to the current traffic situation …
Sense-making and knowledge construction via constructivist learning paradigm
The constructivism is a knowledge acquisition theory that describes mechanisms of
information processing behind infants' cognitive development. When infants play with the …
information processing behind infants' cognitive development. When infants play with the …
Towards an Uncertainty-aware Decision Engine for Proactive Self-Protecting Software
R Liu - 2023 IEEE International Conference on Autonomic …, 2023 - ieeexplore.ieee.org
Proactive protection of software systems can be achieved through Moving Target Defense
(MTD) techniques, which are designed based on addressing the questions of what to move …
(MTD) techniques, which are designed based on addressing the questions of what to move …
Adaptation to unknown situations as the holy grail of learning-based self-adaptive systems: Research directions
Self-adaptive systems continuously adapt to changes in their execution environment.
Capturing all possible changes to define suitable behaviour beforehand is unfeasible, or …
Capturing all possible changes to define suitable behaviour beforehand is unfeasible, or …
[PDF][PDF] Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations.
Context-oriented Programming (COP) first appeared in 2005 as a way to enable the
dynamic adaptation of software systems to specific situations in their surrounding …
dynamic adaptation of software systems to specific situations in their surrounding …
Adaptation to unknown situations as the holy grail of learning-based self-adaptive systems: Research directions
Self-adaptive systems continuously adapt to changes in their execution environment.
Capturing all possible changes to define suitable behaviour beforehand is unfeasible, or …
Capturing all possible changes to define suitable behaviour beforehand is unfeasible, or …
[PDF][PDF] Growing Neural Gas in Multi-Agent Reinforcement Learning Adaptive Traffic Signal Control
In recent years, there has been a significant increase in research interest in applying
Reinforcement Learning (RL) to Adaptive Traffic Signal Control (ATSC). Urban traffic …
Reinforcement Learning (RL) to Adaptive Traffic Signal Control (ATSC). Urban traffic …