A CONVOLUTIONAL NEURAL NETWORK-BASED MODEL FOR MULTI-SOURCE AND SINGLE-SOURCE PARTIAL DISCHARGE PATTERN CLASSIFICATION USING ONLY SINGLE-SOURCE TRAINING SET

A Convolutional Neural Network-Based Model for Multi-Source and Single-Source Partial Discharge Pattern Classification Using Only Single-Source Training Set

Classification of the sources of partial discharges has been a standard procedure to assess the status of insulation in high voltage systems.One of the challenges while classifying these sources is the decision on the distinct properties of each one, often requiring Hats the skills of trained human experts.Machine learning offers a solution to this

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Introducing Virtual Law offices in the Existing Judiciary

With the rise of omnipresent foundation of computing resources over the past years, every IT Setup is expanding their horizons in the Cloud services and related technologies.Cloud provides dynamically scalable virtualized computing resources as a service over the Internet and this key characteristic Glasses differentiates it from traditional comput

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