KI-Beratung Beta
Vor Ort
Merkzettel Warenkorb
  • Produktbild: Evolution in Computational Intelligence
  • Produktbild: Evolution in Computational Intelligence
Band 1176 - 13%

Evolution in Computational Intelligence Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 1

Aus der Reihe Advances in Intelligent Systems and Computing
13% sparen

185,99 € UVP 213,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.09.2020

Abbildungen

XXI, 797 p. 383 illus., 262 illus. in color.

Herausgeber

Vikrant Bhateja + weitere

Verlag

Springer

Seitenzahl

797

Maße (L/B/H)

23,5/15,5/4,4 cm

Gewicht

1218 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-981-15-5787-3

Beschreibung

Portrait

Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow.  His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 150 quality publications in various international journals and conference proceedings. He has edited more than 25 volumes of conference proceedings with Springer Nature (AISC,SIST,LNEE, LNNS Series). He is associate editor of IJSE and IJRSDA.and presently EiC of IJNCR journal under IGI Global.

Sheng-Lung Peng is a Professor at the Department of Computer Science and Information Engineering at National Dong Hwa University, Hualien, Taiwan. He is also a supervisor at the Chinese Information Literacy Association, and the Association of Algorithms and Computation Theory. His research interests include designing and analyzing algorithms for bioinformatics, combinatorics, data mining and networks. He has edited several special issues in respected journals and published more than 100 international conference and journal papers. Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India.  His research interests include machine learning, data mining, and swarm intelligence studies and their applications to engineering. He has published over 140 publications in various respected international journals and conference proceedings. He has edited several volumes of AISC, LNEE and SIST, and is a senior member of IEEE and life member of the Computer Society of India.

Yu-Dong Zhang received his Ph.D. degree from Southeast University, China, in 2010. From 2010 to 2013, he worked as a post-doc and then as a research scientist at Columbia University, USA. He served as a Professor at Nanjing Normal University from 2013 to 2017, and is currently a Full Professor at the University of Leicester, UK. His research interests include deep learning in communication and signal processing, and medical image processing.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.09.2020

Abbildungen

XXI, 797 p. 383 illus., 262 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

797

Maße (L/B/H)

23,5/15,5/4,4 cm

Gewicht

1218 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-981-15-5787-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Ein neues Kapitel für Ihre Bücher

Ein neues Kapitel für Ihre Bücher

Schenken Sie Ihren alten Schätzen ein zweites Leben und erhalten dafür eine Thalia Geschenkkarte.

Jetzt verkaufen
Jetzt verkaufen

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Evolution in Computational Intelligence
  • Produktbild: Evolution in Computational Intelligence
  • Faster Result Retrieval from Health Care Product Sales Data Warehouse using Materialized Queries.- Feature Selection using Ant Colony Optimization and Weighted Visibility Graph.- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges.- Personalized Structure Balance Theory Based Movie Recommendation System.- Machine Learning Techniques for the Investigation of Phishing Websites