Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Sangaiah, Arun Kumar (EDT); Sheng, Michael (EDT); Zhang, Zhiyong Z. (EDT)

ISBN 10: 0128133147 / ISBN 13: 9780128133149

Editore: Academic Press, 2018

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Codice articolo 30752230-n

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Titolo: Computational Intelligence for Multimedia ...

Casa editrice: Academic Press

Data di pubblicazione: 2018

Legatura: Brossura

Condizione: New

Descrizione articolo

Riassunto:

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering.

It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful.

L'autore:

Michael Sheng is a full Professor and Deputy Head of the School of Computer Science at the University of Adelaide. Michael holds a PhD degree in computer science from the University of New South Wales (UNSW) and has 6-yearexperience as a senior software engineer in industries. Prof Sheng has more than 265 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in leading journals and conferences. He is one of the top-ranked authors in the "World Wide Web" research area by Microsoft Academic Search. Prof Michael Sheng is the recipient of the ARC (Australian Research Council) Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).