NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY: APPLICATIONS OF NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY - Softcover

Davanam, Ganesh; Kumar, M. Sunil

 
9786208452926: NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY: APPLICATIONS OF NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY
Softcover
ISBN 10: 6208452929 ISBN 13: 9786208452926
Verlag: LAP LAMBERT Academic Publishing, 2025

Inhaltsangabe

With the worldwide spread of cryptocurrencies, data has become richer and more heterogeneous than before and, as a result, poses a new problem related to prediction and decision making. Although there has been recent increase in acceptance of deep learning (DL) technologies, the current analytical models appear to have limited correspondence with cryptocurrency markets. This work directly addresses price forecasting, fraud detection, sentiment analysis, and risk management, thus illustrating the applicability of the current technologies. We implement complex and novel deep learning techniques such as long short-term memory, gated recurrent unit, Bidirectional-LSTM to explore the temporal and spatial behaviour of data associated with cryptocurrencies. These models enable accurate predictions of price and market trends along with reinforcement strategies to refine trading strategies and generative models to assess the market and project what the future might require. This is used to help investors and traders spot patterns in the buying and selling of various crypto currencies, these models might have far-reaching effects on the economy.

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Über die Autorin bzw. den Autor

Dr. Ganesh Davanam received his B.Tech degree in Information Technology from JNT University, Hyderabad in 2006 and M.Tech degree in Computer Science and Engineering from Acharya Nagarjuna University in 2010. He Received his Ph.D from Koneru Lakshmaiah Educational Foundation, Guntur in 2021. He has Published 03 SCI, 16 ESCI and 73 Scopus papers.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
6208452929
ISBN 13 
9786208452926
Einband
Taschenbuch
Anzahl der Seiten
80
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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