Research Advances in the Integration of Big Data and Smart Computing


Research Advances in the Integration of Big Data and Smart Computing (Advances in Computational Intelligence and Robotics)
By 作者: Pradeep Kumar Mallick
ISBN-10 书号: 1466687371
ISBN-13 书号: 9781466687370
Edition 版本: 1
Release Finelybook 出版日期: 2015-10-13
Pages 页数: 380

Book Description to Finelybook sorting

The volume, complexity, and irregularity of computational data in modern algorithms and simulations necessitates an unorthodox approach to computing. Understanding the facets and possibilities of soft computing algorithms is necessary for the accurate and timely processing of complex data.
Research Advances in the Integration of Big Data and Smart Computing builds on the available literature in the realm of Big Data while providing further research opportunities in this dynamic field. This publication provides the resources necessary for technology developers, scientists, and policymakers to adopt and implement new paradigms in computational methods across the globe.
The chapters in this publication advance the body of knowledge on soft computing techniques through topics such as transmission control protocol for mobile ad hoc networks, feature extraction, comparative analysis of filtering techniques, big data in economic policy, and advanced dimensionality reduction methods.

Contents


Detailed
Contents


Preface
Chapter 1:Big Data
Chapter 2:Transmission Control Protocol for Mobile Ad Hoc Network
Chapter 3:Efficient Classification Rule Mining for Breast Cancer Detection
Chapter 4:Restoration Technique to Optimize Recovery Time for Efficient OSPF
Network
Chapter 5:Cotton Leaf Disease Detection by Feature Extraction
Chapter 6:The Pedagogy of English Teaching-Learning at Primary Level in Rural
Government Schools
Chapter 7:Indic Language
Chapter 8:Baseline Drift Removal of ECG Signal
Chapter 9:Signal Processing
Chapter 10:Application of Big Data in Economic Policy
Chapter 11:Advanced Dimensionality Reduction Method for Big Data
Chapter 12:HTLS Conductors
Chapter 13:A Study on Different Facial Features Extraction Technique
Chapter 14:Adoption of Dual lris and Periocular Recognition for Human
Identification
Chapter 15:CUDA or OpenCL
Chapter 16:Speckle Noise Filtering Using Back-Propagation Multi-Layer
Perceptron Network in Synthetic Aperture Radar lmage
Chapter 17:Face Recognition using Fast Fourier Transform
Chapter 18:White Patch Detection in Brain MRI Image using Evolutionary
Clustering Algorithm


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