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Machine learning and information pro...
~
(1998 :)
Machine learning and information processingproceedings of ICMLIP 2020 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine learning and information processingedited by Debabala Swain, Prasant Kumar Pattnaik, Tushar Athawale.
Reminder of title:
proceedings of ICMLIP 2020 /
remainder title:
ICMLIP 2020
other author:
Swain, Debabala.
corporate name:
Published:
Singapore :Springer Singapore :2021.
Description:
xvii, 601 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Machine learningCongresses.
Online resource:
https://doi.org/10.1007/978-981-33-4859-2
ISBN:
9789813348592$q(electronic bk.)
Machine learning and information processingproceedings of ICMLIP 2020 /
Machine learning and information processing
proceedings of ICMLIP 2020 /[electronic resource] :ICMLIP 2020edited by Debabala Swain, Prasant Kumar Pattnaik, Tushar Athawale. - Singapore :Springer Singapore :2021. - xvii, 601 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.13112194-5357 ;. - Advances in intelligent systems and computing ;176..
Smart Queue Shopping using Rfid System -- Prediction and Classification of Biased and Fake News using NLP and Machine Learning models -- Smart Leaf Disease Detection Using Image Processing -- Unsupervised Image Generation & Manipulation using Deep Convolutional Adversarial Networks -- A Sentiment Analysis and Suicide Ideation Method using Various Machine Learning Algorithms on Twitter Tweets -- Video Categorization based on Sentiment Analysis of YouTube comments -- Credit Score Prediction using Machine Learning -- Stock Market Prediction Using Long Short-Term Memory Model -- Efficient Management of Web Personalization through Entropy and Similarity Analysis -- Artistic Media Stylization & Identification using Convolution Neural Networks.
This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held at Vardhaman College of Engineering, Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, from November 28 to 29, 2020. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.
ISBN: 9789813348592$q(electronic bk.)
Standard No.: 10.1007/978-981-33-4859-2doiSubjects--Topical Terms:
384498
Machine learning
--Congresses.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Machine learning and information processingproceedings of ICMLIP 2020 /
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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.
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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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EB Q325.5 .I61 2020 2021
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https://doi.org/10.1007/978-981-33-4859-2
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