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TitleData Analytics and Learning [electronic resource] : Proceedings of DAL 2018 / edited by P. Nagabhushan, D. S. Guru, B. H. Shekar, Y. H. Sharath Kumar
ImprintSingapore : Springer Singapore : Imprint: Springer, 2019
Edition 1st ed. 2019
Connect tohttps://doi.org/10.1007/978-981-13-2514-4
Descript XVI, 454 p. 266 illus., 151 illus. in color. online resource

SUMMARY

This book presents new theories and working models in the area of data analytics and learning. The papers included in this volume were presented at the first International Conference on Data Analytics and Learning (DAL 2018), which was hosted by the Department of Studies in Computer Science, University of Mysore, India on 30–31 March 2018. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems. As such, the book offers a valuable resource for researchers and practitioners alike


CONTENT

Chapter 1: Recognition of 7-Segment Displays from Images of Digital Energy Meters -- Chapter 2: An Enhanced Task Scheduling in Cloud Computing Based on Hybrid Approach -- Chapter 3: A Moment-Based Representation for Online Telugu Handwritten Character Recognition -- Chapter 4: A Switch Prioritized Load Balancing Technique in SDN -- Chapter 5: A Robust Human Gait Recognition Approach Using Multi Interval Features -- Chapter 6: Keyword Spotting in Historical Devanagari Manuscripts by Word Matching -- Chapter 7: A Parallel Programming approach for Estimation of Depth in world co-ordinate system using single camera -- Chapter 8: An Alternate Voltage Controlled Current Source for Electrical Impedance Tomography Applications


Engineering Data mining Big data Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014 Data Mining and Knowledge Discovery. http://scigraph.springernature.com/things/product-market-codes/I18030 Signal Image and Speech Processing. http://scigraph.springernature.com/things/product-market-codes/T24051 Big Data. http://scigraph.springernature.com/things/product-market-codes/I29120



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