Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications

Description

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. 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