Convergence of Deep Learning and Artificial Intelligence in Internet of Things
Produktdetaljer
This book covers advances and applications of smart technologies including the Internet of Things (IoT), artificial intelligence, and deep learning in areas such as manufacturing, production, renewable energy, and healthcare. It also covers wearable and implantable biomedical devices for healthcare monitoring, smart surveillance, and monitoring applications such as the use of an autonomous drone for disaster management and rescue operations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.
• Covers concepts, theories, and applications of artificial intelligence and deep learning, from the perspective of the Internet of Things.
• Discusses powers predictive analysis, predictive maintenance, and automated processes for making manufacturing plants more efficient, profitable, and safe.
• Explores the importance of blockchain technology in the Internet of Things security issues.
• Discusses key deep learning concepts including trust management, identity management, security threats, access control, and privacy.
• Showcases the importance of intelligent algorithms for cloud-based Internet of Things applications.
This text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the Internet of Things. It further
discusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.
The text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the internet of things. It further discusses applications of smart technologies in diverse sectors such as production, manufacturing, transport, and healthcare.
Chapter 1
Deep Learning Algorithms for Real-Time Healthcare Monitoring Systems
Chapter 2
Neural-Network Based An Efficient Hybrid Control Scheme For The Tracking Control Of Autonomous Underwater Vehicles
Chapter 3
Integrated Storage Allocation and Privacy Preserve Deduplication Process Over Cloud Using Dekey Method
Chapter 4
Internet of Things for Smart Cities: Application and challenges
Chapter 5
IoTBased Garbage Monitoring System with Proposed Machine Learning Model for Smart City
Chapter 6
Application of Natural language Processing and IOT to emulate Virtual Receptionist
Chapter 7
An Overview: - Understanding of Image Fusion
Chapter 8
Meta-Heuristics Algorithm For Optimization
Chapter 9
Internet of Medical Things devices: A Review
Chapter 10
COVID-19 Patient Remote Health Monitoring System using IoT
Chapter 11
Neural Network-Based Machine Learning Model for Prediction of Blood Alanine
Chapter 12
Hybrid Algorithm for detection of COVID-19 using CNN and SVM
Chapter 13
Deep Learning Algorithms for IoTBased Hybrid Sensor using Big Data Analytics
Chapter 14
Delineation of landslide hazard zones of a part of Sutlej basin in Himachal Pradesh through frequency ratio model
Chapter 15
Crop Recommendation System using Machine Learning Algorithms
Chapter 16
Impacts of Artificial Intelligence, Deep Learning and Internet of Things
Chapter 17
A Support Vector Machine based Deep learning Approach for object detection
Chapter 18
Artificial intelligence and IOT based Electric Grid: Future of Micro Grid
Chapter 19
An Analysis of Artificial Intelligence Initiatives and Programmes in India
Chapter 20
A Vital Fusion of Internet-of-Medical Things and Blockchain to Transform Data Privacy and Security