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This paper presents game theoretic and reinforcement learning approach to dynamic scheduling. In dynamic scheduling problems all input is not available at the starting of scheduling. Input arrives online at the time of scheduling. So scheduling algorithm should be capable of scheduling the piece of input available till the time and schedule it as the input arrives. We used game theoretic and reinforcement...
Gait as a behavioural biometrics has been the subject of recent investigations. One of the unique advantages of human gait is that it can be perceived from a distance. A varied range of research has been undertaken within the field of gait recognition. A gait describes the manner of a person's walking. It can be acquired at a distance and if necessary without consent or knowledge of the subject. Human...
The real time communication networks are designed to support multimedia applications requiring quality of services (QoS). The multicasting is needed when number of users want to communicate simultaneously. This paper present an approach based on evolutionary programming to solve the QoS constrained multicast routing problem, which is a NP complete problem. The multicast tree is obtained corresponding...
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