Titlebook: Recent Evolutions in Energy, Drives and e-Vehicles; Proceedings of REEDe Nitin K. Dhote,Mohan Lal Kolhe,Minhaj Rehman Conference proceeding

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Ganesh V. Lohar,M. Suresh Kumarrketing databases provide a rich source of historical evidence of such behaviour. This paper uses such data to examine how players in iterated oligopolies respond to their rivals’ behaviour, and uses machine learning to derive improved contingent strategies for such markets, in order to provide insi

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Supriya R. Patil,Prakash G. Burade,Rahul Agrawalits spreading as the network. The approach presented here is not based on single classical virus spreading, but more on hypothetical swarm virus and its dynamics of spread in PC. The latest development of virus code shows, that CnC technology (command and control) has been used as in the case of Stu

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S. K. Gupta,Pragya Thakur,Ritik Kumar,Prakhar Bharadwajearch trends.Presents concepts to promote and facilitate effThis book provides theoretical and practical knowledge about a methodology for evolutionary algorithm-based search strategy with the integration of several machine learning and deep learning techniques. These include convolutional neural ne

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Divyanka Mohan Sontakke,D. K. Shindeearch trends.Presents concepts to promote and facilitate effThis book provides theoretical and practical knowledge about a methodology for evolutionary algorithm-based search strategy with the integration of several machine learning and deep learning techniques. These include convolutional neural ne

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Neeraj Chauhan,Rekha Devit summaries in multiple languages. The use of word embeddings has emerged as a pivotal technique in this domain, as it enables the representation of words as continuous vectors, capturing semantic relationships and contextual information. This paper presents an in-depth exploration of the role of wo