Sandeep Paul

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A new subsethood-product fuzzy neural inference system (SuPFuNIS) is presented in this paper. It has the flexibility to handle both numeric and linguistic inputs simultaneously. Numeric inputs are fuzzified by input nodes which act as tunable feature fuzzifiers. Rule based knowledge is easily translated directly into a network architecture. Connections in(More)
Myocellular regeneration in vertebrates involves the proliferation of activated progenitor or dedifferentiated myogenic cells that have the potential to replenish lost tissue. In comparison little is known about cellular repair mechanisms within myocellular tissue in response to small injuries caused by biomechanical or cellular stress. Using a microarray(More)
Synovial joints are the lubricated connections between the bones of our body that are commonly affected in arthritis. It is assumed that synovial joints first evolved as vertebrates came to land, with ray-finned fishes lacking lubricated joints. Here, we examine the expression and function of a critical lubricating protein of mammalian synovial joints,(More)
Over the years conventional neural networks has shown state-of-art performance on many problems. However, their performance on recognition system is still not widely accepted in the machine learning community because these networks are unable to handle selectivity-invariance dilemma and also suffer from the problem of vanishing gradients. Some of these(More)
Nervous system is one of the most complex networks known to mankind. An attempt in understanding and analyzing the functionalities of the nervous system would provide solutions to various problem pertaining in fields like medicine, robotics, ergonomics, bio-mechanics, medical research etc. Basic activities like rapid eye movements (Saccades), hand movements(More)