1st Edition
Convergence of Deep Learning and Artificial Intelligence in Internet of Things
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
Biography
Ajay Rana, Sharad Sharma
