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Decoding Cultural Heritage: A Critical Dissection and Taxonomy of Human Creativity Through Digital Tools

by Fernando Moral-Andrés , Elena Merino-Gómez , Pedro Reviriego
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Current price ₹16,159.00
Original price ₹24,859.00
Original price ₹24,859.00
Original price ₹24,859.00
(-35%)
₹16,159.00
Current price ₹16,159.00

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Book cover type: Paperback
  • ISBN13: 9783031576775
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 494
  • Original Price: EUR 219.99
  • Language: English
  • Edition: N/A
  • Item Weight: 697 grams
  • BISAC Subject(s): Image Processing

Fernando Moral-Andrés is the director of the School of Architecture at Universidad Nebrija, Madrid. He holds M.Arch and Ph.D. in Architecture from Universitat Politècnica de Catalunya - BarcelonaTech and a degree in Architecture from Universidad de Valladolid. He has been Visiting Professor of Sapienza - Università di Roma. His research interests include public city, art and the intersection of architecture and technology focusing on the use of digital technologies in different aspects of this discipline such as territorial resilience, design and cultural heritage.

Elena Merino-Gómez is an assistant professor in the School of Industrial Engineering at Universidad de Valladolid. She holds an undergraduate degree and a Ph.D. in architecture from Universidad de Valladolid and a Master in applied linguistics from Universidad Antonio de Nebrija. Her research interests include the history of architecture, ancient Western culture, and linguistics and the useof generative artificial intelligence in those areas.

Pedro Reviriego received the M.Sc. and Ph.D. degrees in Telecommunications engineering from Universidad Politécnica de Madrid, Madrid. He has worked in the industry developing routers and communications ASICs, mostly Ethernet transceivers and in several Universities. He is currently an associate professor at Universidad Politécnica de Madrid working on several topics in computer science with a focus on artificial intelligence. In particular, dependability and performance optimization of artificial intelligence algorithms and the use of generative artificial intelligence for cultural heritage and architecture.

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