
Artificial Intelligence and Multimedia Data Engineering: Volume 1
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Artificial Intelligence and Multimedia Data Engineering: Volume 1
About this book
This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries. The book presents seven chapters which present use-cases for AI engineering that can be applied in many fields. The book concludes with a final chapter that summarizes emerging AI trends in intelligent and interactive multimedia systems. Key features: - A concise yet diverse range of AI applications for multimedia data engineering - Covers both supervised and unsupervised machine learning techniques - Summarizes emerging AI trends in data engineering - Simple structured chapters for quick reference and easy understanding - References for advanced readers This book is a primary reference for data science and engineering students, researchers and academicians who need a quick and practical understanding of AI supplications in multimedia analysis for undertaking or designing courses. It also serves as a secondary reference for IT and AI engineers and enthusiasts who want to grasp advanced applications of the basic machine learning techniques in everyday applications
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Information
Table of contents
- Welcome
- Table of Content
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- PREFACE
- List of Contributors
- A Quantum-assisted Diagnostics Method for Intelligent Manufacturing
- Evaluation of Bio-inspired Computational Methods for Measuring Cognitive Workload
- Managing Libraries and Information Centres using Cloud Computing
- Biometric Voting using IoT to Transfer Vote to Centralized System: A Bibliometric
- Face Recognition using Convolutional Neural Network Algorithms
- Multimedia Security in Audio Signal
- Recent Advancements and Impact of Multimedia in Education
- Emerging AI Trends in Intelligent and Interactive Multimedia Systems