ICDSMLA 2020 - Kumar, Amit; Senatore, Sabrina; Gunjan, Vinit Kumar; (ed.) - Prospero Internet Bookshop

ICDSMLA 2020: Proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications
 
Product details:

ISBN13:9789811636929
ISBN10:9811636923
Binding:Paperback
No. of pages:1671 pages
Size:235x155 mm
Weight:2582 g
Language:English
Illustrations: 245 Illustrations, black & white; 741 Illustrations, color
470
Category:

ICDSMLA 2020

Proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications
 
Edition number: 1st ed. 2022
Publisher: Springer
Date of Publication:
Number of Volumes: 2 pieces, Book
 
Normal price:

Publisher's listprice:
EUR 287.83
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125 119 HUF (119 161 HUF + 5% VAT)
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  Piece(s)

 
Short description:

This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human?computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Long description:
This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human?computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Table of Contents:
Automatic Notes Generation From Lecture Videos.- Correlation between Code Smells for Open Source Java Projects.- Throughput Improvement in Energy Efficient Heterogeneous Wireless Sensor Network.- Deep Learning Models for Rubik?s cube with Entropy Modelling.- Detecting Diabetic Retinopathy Using Deep Learning Technique with RESNET-50.- Restoration of Rician Corrupted MR Data using Improved Hybrid Model.- Flight Delay Prediction using Random Forest Classifier.- A framework using Markov-Baye?s model for Intrusion Detection in Wireless Sensor Network.- Effective text comment classification using Novel ML algorithm - Modified Lazy Random Forest.- Unraveling Deep Learning Performance in Cross-Sensor Iris Recognition.- Travelling Salesman Problem Using GA-ACO Hybrid Approach: A Review.- Efficient and Robust Indian Number Plate Recognition through Modified and Tuned LPRNet.- An Improved Machine Learning Prediction Model for Diabetes.