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Data analytics and learningproceedings of DAL 2022 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data analytics and learningedited by D. S. Guru, N. Vinay Kumar, Mohammed Javed.
Reminder of title:	proceedings of DAL 2022 /
other author:	Guru, D. S.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xiii, 252 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-981-99-6346-1
ISBN:	9789819963461$q(electronic bk.)

Data analytics and learningproceedings of DAL 2022 /
Data analytics and learningproceedings of DAL 2022 /[electronic resource] :edited by D. S. Guru, N. Vinay Kumar, Mohammed Javed. - Singapore :Springer Nature Singapore :2024. - xiii, 252 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 7792367-3389 ;. - Lecture notes in networks and systems ;v.1..

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.

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.

ISBN: 9789819963461$q(electronic bk.)

Standard No.: 10.1007/978-981-99-6346-1doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

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