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Advances in Data and Information Sciences Proceedings of ICDIS-2017, Volume 1
Title
Advances in Data and Information Sciences [electronic resource] : Proceedings of ICDIS-2017, Volume 1 / edited by Mohan L. Kolhe, Munesh C. Trivedi, Shailesh Tiwari, Vikash Kumar Singh.
ISBN
9789811083600
Publication
Singapore : Springer Singapore : Imprint: Springer, 2018.
Physical Description
1 online resource (XIV, 297 p.) 114 illus., 69 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Data and Information Systems (ICDIS 2017), held at Indira Gandhi National Tribal University, India from November 3 to 4, 2017. The book covers all aspects of computational sciences and information security. In chapters written by leading researchers, developers and practitioner from academia and industry, it highlights the latest developments and technical solutions, helping readers from the computer industry capitalize on key advances in next-generation computer and communication technology.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
May 02, 2018
Series
Lecture Notes in Networks and Systems, 38
Contents
Computation of Dynamic Signal Phases for Vehicular Traffic
Disctrete Wavelet Transform and kNN Based Fault Detector and Classifier for PV Integrated Microgrid
Automated Tool for Extraction of Software Fault Data
Comparative Study of Mobile Forensic Tools
Implementing Image Compression and Cryptography on Fractal Images
Computer Aided Diagnosis of Melanoma Skin Cancer: A Review
Computer Vision Based Tomato Grading and Sorting
Movie Recommendation System Using Genome Tags and Content-based Filtering
Leveraging Machine Learning in Mist Computing Telemonitoring System for Diabetes Prediction
A Novel Energy Ecient Hybrid Full Adder Circuit
An Insight into Theory-Guided Climate Data Science - A Literature Review
Fusion of Signal and Differential Signal Domain Features for Epilepsy Identification in Electroencephalogram Signals.
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