STUDY ON DESIGN AND DEVELOP FILE SHARING IN P2P BASED ON NEARNESS

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VARIABLES, INCLUDING EXAMPLE OF – SUPERPOSITION AND TRUNCATION IN BOTH AVERAGE AND PROBABILISTIC

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USING CONVOLUTIONAL NEURAL NETWORKS FOR BREAST IMAGING AND TO MO SYNTHESIS CATEGORIZATION

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ARTIFICIAL FLOOR PLAN GENERATION USING MACHINE LEARNING, CONFPROFITT: A PERFORMANCE PROFILING TESTING

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APPLICATION ATO EMBEDDED AGENTS MARKOV DECISION PRECESSES

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APPLICATION OF MACHINE LEARNING WITH A REFERENCE TO ELECTRICITY THEFT DETECTION

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