Challenges and Opportunities for Deep Learning Applications in Industry 4.0

Vaishali Mehta, Dolly Sharma, Monika Mangla, Vaishali Mehta, Dolly Sharma, Monika Mangla

• Publisher: Bentham Science Publishers
• Year: 2003
• Print ISBN: 9789815036084
• eBook ISBN: 9789815036060
• Topic: Informatik
• Subtopic: Informatik Allgemein

The competence of deep learning for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep learning enables detection of meaningful features that are difficult to perform using traditional methods. The book takes the reader on a technological voyage of the industry 4.0 space. Chapters highlight recent applications of deep learning and the associated challenges and opportunities it presents for automating industrial processes and smart applications. Chapters introduce the reader to a broad range of topics in deep learning and machine learning. Several deep learning techniques used by industrial professionals are covered, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical project methodology. Readers will find information on the value of deep learning in applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. The book also discusses prospective research directions that focus on the theory and practical applications of deep learning in industrial automation. Therefore, the book aims to serve as a comprehensive reference guide for industrial consultants interested in industry 4.0, and as a handbook for beginners in data science and advanced computer science courses.

Table of contents

• Welcome
• Table of Content
• Title
• BENTHAM SCIENCE PUBLISHERS LTD.
• PREFACE
• List of Contributors
• Challenges and Opportunities for Deep Learning Applications in Industry 4.0
• Application of IoT–A Survey
• Cloud Industry Application 4.0: Challenges and Benefits
• Uses And Challenges of Deep Learning Models for Covid-19 Diagnosis and Prediction
• Currency Trend Prediction using Machine Learning
• A Bibliometric Analysis of Fault Prediction System using Machine Learning Techniques
• COVID-19 Forecasting using Machine Learning Models
• An Optimized System for Sentiment Analysis using Twitter Data
• Applications of AI in Agriculture