Akshansh Gupta

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We propose and investigate a genetic algorithm for scheduling jobs about an unrestricted common due date on a single machine. The objective is to minimize total earliness and tardiness cost where early and tardy penalty rates are allowed to be arbitrary for each job. Jobs are classi® ed into families and a family setup time is required between jobs from two(More)
The Brain Computer Interface provides a channel of communication to physically challenged individuals who have fully or partially lost the power to interact with their surroundings. The strength of a BCI system lies in its ability to determine the appropriate features for a given task and to be able to correctly classify a task amid many other mental tasks.(More)
In the last few years, plenty of works have been done by the research community of Brain-Computer Interface (BCI), which assists physically challenged people to communicate with the help of brains electroencephalograph (EEG) signals. An appropriate representation of these brain signals, for mental task classification, in terms of relevant features is(More)
A brain computer interface (BCI) is a communication system by which a person can send messages or requests for basic necessities without using peripheral nerves and muscles. Response to mental task-based BCI is one of the privileged areas of investigation. Electroencephalography (EEG) signals are used to represent the brain activities in the BCI domain. For(More)
The electroencephalograph (EEG) signal is the one of the monitoring techniques to observe brain functionality. EEG is most preferable technology not just because of its non-invasive and cost effective quality, but also it can detect the cognitive activity of human. Brain Computer Interface (BCI), a direct pathway between the human brain and computer, is one(More)
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