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Automatic digit recognition is of popular interest today. Deep learning techniques make it possible for object recognition in image data. Perceiving the digit has turned into a fundamental part as far as certifiable applications. Since,... more
Automatic digit recognition is of popular interest today. Deep learning techniques make it possible for object recognition in image data. Perceiving the digit has turned into a fundamental part as far as certifiable applications. Since, digits are composed in various styles in this way to distinguish the digit it is important to perceive and arrange it with the assistance of machine learning methods. This exploration depends on supervised learning vector quantization neural system arranged under counterfeit artificial neural network. The pictures of digits are perceived, prepared and tried. After the system is made digits are prepared utilizing preparing dataset vectors and testing is connected to the pictures of digits which are separated to each other by fragmenting the picture and resizing the digit picture as needs be for better precision.
Research Interests:
Communication between heterogeneous networks became unavoidable. Clustering simplifies the communication. Cluster head is the leader of the cluster. If the cluster head fails or becomes unreachable an alternative efficient algorithm is... more
Communication between heterogeneous networks became unavoidable. Clustering simplifies the communication. Cluster head is the leader of the cluster. If the cluster head fails or becomes unreachable an alternative efficient algorithm is required to recover from the failure. This proposes the algorithm which initiates the alternative cluster head selection in a heterogeneous environment.
Research Interests:
Research Interests:
There is a great advancement in the field of " Robotics ". Each and every day a new machine/agent is invented which can automate the work of humans and thus helping humans to finish up their job perfectly and in reliable way. The same is... more
There is a great advancement in the field of " Robotics ". Each and every day a new machine/agent is invented which can automate the work of humans and thus helping humans to finish up their job perfectly and in reliable way. The same is also contributing towards Military operations too, where it started with Radar Systems, Drones to Sentry Guns. But there is always a drawback of knowing the Interiors of any building like the plan of that particular building in which the Military operation to be carried. Even the Military operation that took place to kill Osama Bin laden was very crucial that the Special Ops doesn " t know the plan of the building to carry the attack. This paper addresses the problem of interior/indoor mapping with limited sensing details.