
Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications
- 300 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications
About this book
This reference text offers the reader a comprehensive insight into recent research breakthroughs in blockchain, the Internet of Things (IoT), artificial intelligence and material structure and hybrid technologies in their integrated platform, while also emphasizing their sustainability aspects.
The text begins by discussing recent advances in energy materials and energy conversion materials using machine learning, as well as recent advances in optoelectronic materials for solar energy applications. It covers important topics including advancements in electrolyte materials for solid oxide fuel cells, advancements in composite materials for Li-ion batteries, progression of materials for supercapacitor applications, and materials progression for thermochemical storage of low-temperature solar thermal energy systems.
This book:
- Discusses advances in blockchain, the Internet of Things, artificial intelligence, material structure and hybrid technologies
- Covers intelligent techniques in materials progression for sensor development and energy material characterization using signal processing
- Examines the integration of phase change materials in construction for thermal energy regulation in new buildings
- Explores the current happenings in technology in conjunction with basic laws and mathematical models
Connecting advances in engineering materials with the use of smart techniques including artificial intelligence, machine learning and Internet of Things (IoT) in a single volume, this text will be especially useful for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, mechanical engineering and computer science.
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Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Editors
- Contributors
- Chapter 1 A Review of Automated Sleep Apnea Detection Using Deep Neural Network
- Chapter 2 Optimization of Tool Wear Rate Using Artificial IntelligenceāBased TLBO and Cuckoo Search Approach
- Chapter 3 Lung Tumor Segmentation Using a 3D Densely Connected Convolutional Neural Network
- Chapter 4 Day-Ahead Solar Power Forecasting Using Artificial Neural Network with Outlier Detection
- Chapter 5 Fuzzy-Inspired Three-Dimensional DWT and GLCM Framework for Pixel Characterization of Hyperspectral Images
- Chapter 6 Painless Machine Learning Approach to Estimate Blood Glucose Level with Non-Invasive Devices
- Chapter 7 Artificial Intelligence and Machine Learning in Biomedical Applications
- Chapter 8 The Use of Artificial Intelligence-Based Models for Biomedical Application
- Chapter 9 Role of Artificial Intelligence in Transforming Agriculture
- Chapter 10 Internet of Things (IoT) and Artificial Intelligence for Smart Communications
- Chapter 11 Cyber-Security in the Internet of Things
- Chapter 12 Smart Materials for Electrochemical Water Oxidation
- Chapter 13 Innovative Approach for Real-Time PāV Curve Identification: Design-to-Application
- Chapter 14 Superhydrophobic Coatings of Silica NPs on Cover Glass of Solar Cells for Self-Cleaning Applications
- Chapter 15 Carbonaceous Composites of Rare Earth Metal Chalcogenides: Synthesis, Properties and Supercapacitive Applications
- Chapter 16 Low-Stress Abrasion Response of Heat-Treated LM25āSiCp Composite
- Chapter 17 Post-Annealing Influence on Structural, Surface and Optical Properties of Cu3BiS3 Thin Films for Photovoltaic Solar Cells
- Chapter 18 Self-Cleaning Antireflection Coatings on Glass for Solar Energy Applications
- Index