Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications

✍ Scribed by M.G. Sumithra, Rajesh Kumar Dhanaraj, Celestine Iwendi, Anto Merline Manoharan

• Publisher: De Gruyter
• Year: 2022
• Tongue: English
• Leaves: 214
• Series: De Gruyter Series on Smart Computing Applications, 7
• Category: Library

✦ Synopsis

The book series "Smart Computing Applications" provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical and applied data science and computing technologies research, with a particular attention to the possible applications of such technologies in the industry, especially in the field of mechanical and industrial engineering.

This series serves as a valuable resource for graduate, postgraduate, doctoral students, researchers, academicians and industry professionals.

✦ Table of Contents

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