UID:
almahu_9949070747402882
Format:
XV, 813 p. 448 illus., 268 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9789813340879
Series Statement:
Algorithms for Intelligent Systems,
Content:
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
Note:
Probabilistic Machine Learning Using Social Network Analysis -- Prioritization of Disaster Recovery Aspects Implementing DEMATEL Technique -- A Study on ML Based Predictive Modelling for Pick Profiling at Distribution Centers -- Analysis of Computational Intelligence Techniques in Smart Cities -- Proposed end to end automated e-voting through blockchain technology to increase voter's turnout -- Future of Data Generated by Interactive Media.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789813340862
Additional Edition:
Printed edition: ISBN 9789813340886
Additional Edition:
Printed edition: ISBN 9789813340893
Language:
English
DOI:
10.1007/978-981-33-4087-9
URL:
https://doi.org/10.1007/978-981-33-4087-9
URL:
Volltext
(URL des Erstveröffentlichers)
