Titlebook: Advances in Computing and Data Sciences; Third International Mayank Singh,P.K. Gupta,Rekha Kashyap Conference proceedings 2019 Springer Na

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978-981-13-9938-1Springer Nature Singapore Pte Ltd. 2019

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Data in a concurrent environment, The specific focus of cognition is on neural connections that are involved in the mental process. So the resultant of cognitive states which consists of thoughts, perception, memory, experiences predicted the state of emotional behaviour in human. There are two parts of brain which are responsible

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On the power of cooperative concurrency,n carried out based on profit-loss statistics of consecutive ten years. Relevance of Poisson distribution in business forecasting is shown. Relevance of Binomial distribution in business forecasting is also shown. Curve fitting has been applied to reveal further some discovered facts related to gain

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Béatrice Bérard,Laurent Fribourgguage inspired by the French sign language and is used by around half a million people around the world with a majority in North America. The Deaf Culture views deafness as a difference in human experience rather than a disability, and ASL plays an important role in this experience. In this project,

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https://doi.org/10.1007/3-540-12275-3rmation loss due to Contraction step of FMNN leads to several improvements in literature such as MLF, FMCN etc. These approaches do not use Contraction step and provide additional structures in FMNN for decision making in overlapped regions overcoming the problem of Contraction with the cost of an i

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https://doi.org/10.1007/3-540-12275-3 news papers, medical, legal issues, law, academics etc. At the same time, image editing and rendering tools have also evolved significantly. With the help of computers and such advanced image rendering tools it is possible to create photorealistic computer graphics images effortlessly. It is very d

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Introduction and general philosophy,tate of the art deep neural network for skin carcinoma detection. The proposed network requires training two identical subnetworks to perform extensive feature extraction for accurate classification. These subnetworks are designed following the deep residual learning paradigm to boost up the loss op

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Lecture Notes in Computer ScienceIn this paper EEG dataset of forty eight subjects (twelve - epileptic, twelve -normal, twelve - schizophrenic and twelve – alzheimer) have been investigated and it is evident from the findings that remarkable difference exists for extracted features. Six statistical features have been extracted from