Advances in Data and Information Sciences (eBook, PDF)

Proceedings of ICDIS-2017, Volume 1
Redaktion: Kolhe, Mohan L.; Singh, Vikash Kumar; Tiwari, Shailesh; Trivedi, Munesh C.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 297
• Erscheinungstermin: 9. April 2018
• Englisch
• ISBN-13: 9789811083600
• Artikelnr.: 52379488

Autorenporträt

Professor (Dr) Mohan Kolhe is a professor of electrical power engineering with a focus in smart grid and renewable energy at the University of Agder's (Norway) Faculty of Engineering and Science. He has also received the offer of full professorship of smart grids from the Norwegian University of Science and Technology (NTNU). He has more than twenty-five years' international academic experience in electrical and renewable energy systems. He is a leading renewable energy technologist and has previously held academic positions at prestigious universities around the globe, including University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada). Prof. (Dr.) Munesh Chandra Trivedi currently works as a professor at the Computer Science and Engineering Department, ABES Engineering College, Ghaziabad, India. He has published 20 textbooks and 80 research papers in various leading international journals and conference proceedings. He has received Young Scientist and numerous other awards from national and international forums. He has organized several international conferences sponsored by IEEE, ACM and Springer. He is on the review panel of the IEEE Computer Society, the International Journal of Network Security, Pattern Recognition Letters and Computer & Education. He is an executive committee member of the IEEE UP Section, IEEE India Council and also IEEE Asia Pacific Region 10. Prof. (Dr.) Shailesh Tiwari currently works as a professor at the Computer Science and Engineering Department, ABES Engineering College, Ghaziabad, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in various problems. He has published more than 50 papers in leading international journals and conference proceedings. He an editor for various Scopus, SCI and E-SCI-indexed journals. He has organized several international conferences under the banner of IEEE and Springer. He is a senior member of the IEEE, member of the IEEE Computer Society, and fellow of Institution of Engineers (FIE). Dr. Vikash Kumar Singh as an associate professor of computer science with a focus in artificial intelligence at the Faculty of Computronics, Indira Gandhi National Tribal University, Amarkantak(M.P.), India. He has also received UGC NET JRF annexure. He has more than seventeen years of academic experience, and has published over 250 research papers and attended more than 15 national and international conferences, workshops and seminars. He has been invited to deliver lectures, courses, keynote addresses and workshops by several national and international organizations.

Inhaltsangabe

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.