Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications

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Deep Learning for Cognitive Computing Systems

Technological Advancements and Applications

Edited by: , , and

Language: English

Published/Copyright: 2023

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This book is in the series

Volume 7 | Smart Computing Applications

About this book

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.

Author / Editor information

M.G. Sumithra and A. M. Manoharan, KPR Institute; R.K. Dhanaraj, Galgotias University, India; C. Iwendi, Bangor College, China.

Topics

Publicly Available

Frontmatter
I

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Contents
V

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List of Authors
VII

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The Learning of Deep Learning: Overview, Methods, and Applications
1
R Regan, Anto Merline Manoharan, R. Gayathri and K. Kandasamy

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Foundation of Cognitive Computing
19
R. Remya, M.G. Sumithra and M. Krishnamoorthi

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Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision
35
R. Ranjana, T Subha, Varsha, Jothishree and Pravin Kumar

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A Study of Voice Recognition System Using Deep Learning Techniques
53
R. Regan, P. Rajaram, K. Senthilkumar and N. Khadirkumar

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Building Machine Learning–Based Prediction System for Critical Diseases
75
P Oleeviya Babu, C. C Sobin and Jahfar Ali

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An Overview of Internet of Things and Machine Learning for Smart Healthcare
97
Nadeem Nadeem Hashmi, Nitesh Bharti and V. M Manikandan

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Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being
113
A. Reethika, T Jagadesh and M S Kanivarshini

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Healthcare Data Analysis Using Deep Learning Paradigm
129
K. Renuka Devi, S Suganyadevi and K. Balasamy

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Cognitive Authentication for Smart Healthcare System
149
R. Babu, Prithi Samuel and K Jayashree

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Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images
165
B. Lakshmanan, S Priyadharsini and G Priyanka

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A Novel Deep Belief Neural Network Model for Abstractive Text Summarization
179
G Dineshnath and S Saraswathi

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Index
201

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Publishing information

Pages and Images/Illustrations in book

eBook published on:

December 31, 2022

eBook ISBN:

9783110750584

Hardcover published on:

December 31, 2022

Hardcover ISBN:

9783110750508

Pages and Images/Illustrations in book

Front matter:

9

Main content:

199

Illustrations:

10

Coloured Illustrations:

58

Tables:

15

https://doi.org/10.1515/9783110750584

eBook ISBN: 9783110750584

Hardcover ISBN: 9783110750508

Keywords for this book

Big Data; Cognitive Computing; Deep Learning; Artificial Intelligence; Machine Learning

Audience(s) for this book

Researchers, Graduate Students, Professionals and Developers.

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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Deep Learning for Cognitive Computing Systems

Overview

About this book

Author / Editor information

Topics

Table of contents

Frontmatter

Contents

List of Authors

The Learning of Deep Learning: Overview, Methods, and Applications

Foundation of Cognitive Computing

Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision

A Study of Voice Recognition System Using Deep Learning Techniques

Building Machine Learning–Based Prediction System for Critical Diseases

An Overview of Internet of Things and Machine Learning for Smart Healthcare

Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being

Healthcare Data Analysis Using Deep Learning Paradigm

Cognitive Authentication for Smart Healthcare System

Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images

A Novel Deep Belief Neural Network Model for Abstractive Text Summarization

Index

Bibliographic data