Titlebook: Distributed Computing and Optimization Techniques; Select Proceedings o Sudhan Majhi,Rocío Pérez de Prado,Chandrappa Dasan Conference proce

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A Systematic Study of Sign Language Recognition Systems Employing Machine Learning Algorithms,onal hardware components like expensive sensors, which tend to increase the cost. In this survey, we have reviewed numerous existing solutions and have categorized them depending on the method used. We hope that the results obtained from this study may serve as a road map to guide future study in th

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Advanced Architecture of Analog to Digital Converter Derived from Half Flash ADC, in the second step remaining 4 -Bits are calculated. Flash ADC also requires a large no of components so it is difficult to use it under any microcontroller. Hence in the proposed work, ADC is designed to reduce the complexity of conventional Flash ADC and to achieve less area and less power consum

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An Assessment of Criss-Cross Multilevel Inverter with Fault Tolerance for Electric Vehicle Applicational or classical MLIs require ‘(2m – 1)’ power switches. In addition, the proposed CC-MLI has modular circuit layout and can be easily extended to higher levels. An assessment of proposed CC-MLI configuration is done in terms of Total Harmonic Distortion (THD) and fundamental voltage. The %THD of

GEM

An Ensemble Model to Extract Discriminative Features for Semantic Image Classification in Large Datcation purpose, different distance measure techniques and machine learning algorithm is used to obtain average classification rate. Proposed ensemble model is demonstrated on Caltech-101 and Caltech-256 datasets and compared the results with several benchmarking techniques in literature.