Data Engineering and Applications - Agrawal, Jitendra; Shukla, Rajesh K.; Sharma, Sanjeev;(ed.) - Prospero Internet Bookshop

 
Product details:

ISBN13:9789819724505
ISBN10:9819724503
Binding:Hardback
No. of pages:471 pages
Size:235x155 mm
Language:English
Illustrations: 35 Illustrations, black & white; 152 Illustrations, color
666
Category:

Data Engineering and Applications

Proceedings of the International Conference, IDEA 2K22, Volume 2
 
Edition number: 2024
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
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EUR 267.49
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  Piece(s)

 
Short description:

This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.

Long description:
This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.
Table of Contents:
Review of Methods for Handling Class-Imbalanced in Classification Problems.- Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students.- A Benchmarking Investigation of Evolutionary Algorithms to resolve the COVID Sample Collection Problem.- Using OpenNLP and GraalVM to detect sentences in Kubernetes while comparing Helidon and Spring Boot's metrics.- An Efficient Hybrid Model to Summarize the Text using Transfer Learning.- Automatic Detection of Learner's Learning Style.- Construction of an Intelligent Knowledge based System using Transformer Model.- Machine Learning-Based Disease Diagnosis using Body Signals: A Review.- Finite-Difference and Finite-Volume 1D Steady-State Heat Conduction model for Machine Learning Algorithms.- Sign Language Detection Through PCANet and SVM.-  A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method.-  Effective Prediction of Coronary Heart Disease Using Hybrid Machine Learning.- Feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm.- Plant Disease Detection using Machine Learning Approaches: A Review.- Copy Move Forgery Detection Algorithm: A Machine Learning based approach to detect Image Forgery.- A Machine Learning based Approach to Combat Hate Speech on Social Media.- Prediction of SARS ? COVID ? 19 Based on Transfer Machine Learning Techniques using Lungs CT Scan Images.- Online Document Identification and Verification using Machine Learning Model.