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Nowadays' road network infrastructure failing to cope up with the exponential increase in vehicular population, there is a constant strive to find smarter ways to deal with it using existing infrastructure. Intelligent Transport System is at the forefront of this, one of the aims is accurate and sophisticated traffic predictions that ensure smooth and hassle free commuting and administrative experience...
Navigation in an unknown or uncertain environment is a challenging task for an autonomous agent. The agent is expected to behave independently and to learn the suitable action to take for a given situation. Reinforcement Learning could be used to help the agent adapt to an unknown environment and learn the right actions to take. This paper presents the setup and the results of a reinforcement learning...
Pressure ulcers are debilitating wounds that arise frequently in people who have lost mobility. Mechanical stress, oxidative stress and ischemia–reperfusion injury are potential sources of damage during pressure ulcer formation, but cross-talk between these sources has rarely been investigated. In vitro experiments with mechanically-induced cell damage previously demonstrated that non-lethal amounts...
Majority of the population is dependent on the fossil fuels which are the conventional sources of the energy. Since fossil fuels are non-renewable they are bound to deplete in the near future. Leading edge research on the renewable sources of energy like wind energy, solar energy etc. Is a growing concern which has to replace the conventional energy sources to prevent environmental pollution and global...
With increasing complexity of today's embedded systems, research has focused on developing fast, yet accurate high-level and executable models of complete platforms. These models address the need for hardware/software co-simulation of the entire system at early stages of the design. Traditional models tend to be either slow or inaccurate. In this paper, we present ingredients for a class of abstract,...
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