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Machine Learning and Information Processing = Proceedings of ICMLIP 2020 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning and Information Processing/ edited by Debabala Swain, Prasant Kumar Pattnaik, Tushar Athawale.
Reminder of title:	Proceedings of ICMLIP 2020 /
other author:	Swain, Debabala.
Description:	XVII, 601 p. 308 illus., 211 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-33-4859-2
ISBN:	9789813348592

Machine Learning and Information Processing = Proceedings of ICMLIP 2020 /
Machine Learning and Information ProcessingProceedings of ICMLIP 2020 /[electronic resource] :edited by Debabala Swain, Prasant Kumar Pattnaik, Tushar Athawale. - 1st ed. 2021. - XVII, 601 p. 308 illus., 211 illus. in color.online resource. - Advances in Intelligent Systems and Computing,13112194-5365 ;. - Advances in Intelligent Systems and Computing,335.

Smart Queue Shopping using Rfid System -- Prediction and Classification of Biased and Fake News using NLP and Machine Learning models -- Smart Leaf Disease Detection Using Image Processing -- Unsupervised Image Generation & Manipulation using Deep Convolutional Adversarial Networks -- A Sentiment Analysis and Suicide Ideation Method using Various Machine Learning Algorithms on Twitter Tweets -- Video Categorization based on Sentiment Analysis of YouTube comments -- Credit Score Prediction using Machine Learning -- Stock Market Prediction Using Long Short-Term Memory Model -- Efficient Management of Web Personalization through Entropy and Similarity Analysis -- Artistic Media Stylization & Identification using Convolution Neural Networks.

This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held at Vardhaman College of Engineering, Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, from November 28 to 29, 2020. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.

ISBN: 9789813348592

Standard No.: 10.1007/978-981-33-4859-2doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Machine Learning and Information Processing = Proceedings of ICMLIP 2020 /
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