KI-Beratung Beta

  • Produktbild: Machine Learning and Information Processing
  • Produktbild: Machine Learning and Information Processing
Band 1311

Machine Learning and Information Processing Proceedings of ICMLIP 2020

197,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.04.2021

Abbildungen

XVII, 601 p. 308 illus., 211 illus. in color.

Herausgeber

Debabala Swain + weitere

Verlag

Springer Singapore

Seitenzahl

601

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

925 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-981-3348-58-5

Beschreibung

Portrait

Debabala Swain is working as Associate Professor in the Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, India. She has more than a decade of teaching and research experience. Dr. Swain has published number of research papers in peer-reviewed international journals, conferences, and book chapters. She has edited books of Springer, IEEE. Her area of research interest includes high-performance computing, information security, machine learning, and IoT.

Prasant Kumar Pattnaik , Ph.D. (Computer Science), Fellow of IETE, Senior Member of IEEE, is Professor at the School of Computer Engineering, KIIT Deemed University, Bhubaneswar. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of research papers in peer-reviewed international journals and conferences. He also published many edited book volumes in Springer and IGI Global Publication. His areas of interest include mobile computing, cloud computing, cyber security, intelligent systems, and brain–computer interface. He is one of the Associate Editors of Journal of Intelligent & Fuzzy Systems, IOS Press, and Intelligent Systems Book Series Editor of CRC Press, Taylor Francis Group.

Tushar Athawale is currently working as Computer Scientist at Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA. He is in the domain of scientific visualization for analysis of large-scale data using tools, such as VisIt and ParaView and software development for multi-threaded visualization toolkit (VTK-m). He was Postdoctoral Fellow at the University of Utah’s Scientific Computing & Imaging (SCI) Institute with Prof. Chris R. Johnson as his advisor since October 2016. He received Ph.D. in Computer Science from the University of Florida in May 2015, and he worked with Prof. Alireza Entezari while pursuing his Ph.D. After his graduation, he worked as an application support engineer under the supervision of Robijn Hage in MathWorks, Inc., the developer of the leading computing software MATLAB. His primary research interests are in uncertainty quantification and statistical analysis.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.04.2021

Abbildungen

XVII, 601 p. 308 illus., 211 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

601

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

925 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-981-3348-58-5

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: Machine Learning and Information Processing
  • Produktbild: Machine Learning and Information Processing
  • Smart Queue Shopping using Rfid System.- Prediction and Classification of Biased and Fake News using NLP and Machine Learning models.- Smart Leaf Disease Detection Using Image Processing.- Unsupervised Image Generation & Manipulation using Deep Convolutional Adversarial Networks.- A Sentiment Analysis and Suicide Ideation Method using Various Machine Learning Algorithms on Twitter Tweets.- Video Categorization based on Sentiment Analysis of YouTube comments.- Credit Score Prediction using Machine Learning.- Stock Market Prediction Using Long Short-Term Memory Model.- Efficient Management of Web Personalization through Entropy and Similarity Analysis.- Artistic Media Stylization & Identification using Convolution Neural Networks.