Data Analytics and Learning (eBook, PDF)

Proceedings of DAL 2022
Redaktion: Guru, D. S.; Javed, Mohammed; Kumar, N. Vinay

• Format: PDF

Produktbeschreibung

This book presents new theories and working models in the areas of data analytics and learning. The papers included in this book were presented at the second International Conference on Data Analytics and Learning (DAL 2022), which was organized by the Department of Computer Science & Engineering, Alva's Institute of Engineering and Technology, Moodbidri, Mangalore, Karnataka, India, in association with the Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 252
• Erscheinungstermin: 19. Februar 2024
• Englisch
• ISBN-13: 9789819963461
• Artikelnr.: 70009554

Autorenporträt

D.S. Guru received his B.Sc, M.Sc and PhD degrees in Computer Science and Technology from the University of Mysore, Mysore, India, in 1991, 1993 and 2000 respectively. He is currently a Professor in the Department of Studies in Computer Science, University of Mysore, India. He was a fellow of BOYSCAST and a visiting research scientist at Michigan State University. He has authored 65+ journals and 200+ peer reviewed conference papers at international and national levels. His area of research interest covers image retrieval, object recognition, shape analysis, sign language recognition, biometrics and symbolic data analysis. Vinay Kumar N received his B.Sc, M.S and PhD degrees in Computer Science and Technology from the University of Mysore, Mysore, India, in 2009, 2012 and 2019 respectively. He is currently a Senior Data Scientist in the NTT Data, Bangalore, India. He was a DST-INSPIRE fellow and a DST-SERB awardee for the year 2017. He has authored 25+ journals and peer reviewed conference papers at international levels. His area of research interest covers machine learning, computer vision, data analytics, object recognition, biometrics and symbolic data analysis. Mohammed Javed, is working as Assistant Professor in the Department of IT, IIIT Allahabad, since 2018, and has research experience of 7 years in the areas of image processing, pattern recognition, and compression of images and videos. He obtained his Ph.D degree from the University of Mysore. He has published more than 50+ research papers. He is the recipient of SERB-DST young scientist travel grant for DCC2020, UTAH, USA. He also received Grant-In-Aid from SERB-DST, CSIR, DRDO and ISRO several times for conducting different international events.

Inhaltsangabe

A Two Stage Word Spotting Scheme for Historical Handwritten Devanagari Documents.- 3D Object Detection in Point Cloud using Key Point Detection Network.- IRIS and Face-Based Multimodal Biometric Systems.- A Survey on Detection of Diseases in Plants Using Computer Vision Based Model.- An Approach to Conserve Wildlife Habitat by Predicting Forest Fire using Machine Learning Technique.

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