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Intelligent Computing Paradigm: Recent Trends

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent Computing Paradigm: Recent Trends/ edited by J. K. Mandal, Devadutta Sinha.
other author:	Mandal, J. K.
Description:	X, 122 p. 74 illus., 49 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-13-7334-3
ISBN:	9789811373343

Intelligent Computing Paradigm: Recent Trends
Intelligent Computing Paradigm: Recent Trends[electronic resource] /edited by J. K. Mandal, Devadutta Sinha. - 1st ed. 2020. - X, 122 p. 74 illus., 49 illus. in color.online resource. - Studies in Computational Intelligence,7841860-949X ;. - Studies in Computational Intelligence,564.

Chapter 1. Improved Hybrid Approach of Filtering using Classified Library Resources in Recommender System -- Chapter 2. A study on Collapse Time Analysis of behaviorally changing nodes in static Wireless Sensor Network -- Chapter 3. Product Prediction and Recommendation in ECommerce using Collaborative Filtering and Artificial Neural Networks: A Hybrid approach -- Chapter 4. AIRDr. (Artificial Intelligent Reliable Doctor): Prospect of Disease Prediction using Reliability -- Chapter 5.Bacterial Foraging Optimization –Based Clustering in Wireless Sensor Network by Preventing Left out Nodes -- Chapter 6. PGRDP: Reliability, Delay, and Power-Aware Area Minimization of Large-Scale VLSI Power Grid Networks using Cooperative Coevolution -- Chapter 7. Forest Cover Change Analysis in Sundarban Delta Using Remote Sensing Data and GIS -- Chapter 8. Identification of Benign and Malignant Cells from Cytological Images using Superpixel and Convolutional Neural Networks.

This book includes extended versions of selected works presented at the 52nd Annual Convention of Computer Society of India (CSI 2017), held at Science City, Kolkata on 19–21 January 2018. It features a collection of chapters focusing on recent trends in computational intelligence, covering topics such as ANN, neuro-fuzzy based clustering, edge detection, data mining, mobile cloud computing, intelligent scheduling, processing and authentication. It also discusses societal applications of these methods. As such it is useful for students, researchers and industry professionals working in the area of computational intelligence.

ISBN: 9789811373343

Standard No.: 10.1007/978-981-13-7334-3doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Intelligent Computing Paradigm: Recent Trends
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