RTAAIIT 2019: Recent Trends and Advances in Artificial Intelligence and Internet of Things |
Website | https://sites.google.com/view/aiandiotbookspringerhome/home |
Abstract registration deadline | June 30, 2019 |
Submission deadline | July 30, 2019 |
Data is all around us. The Internet of Things (IoT) and sensors have the ability to harness large volumes of data, while artificial intelligence (AI) can learn patterns in the data to automate tasks for a variety of business benefits. The Internet of Things (IoT) is a term that has been introduced in recent years to define objects that are able to connect and transfer data via the Internet. ‘Thing’ refers to a device which is connected to the internet and transfers the device information to other devices. AI is playing a starring role in IoT because of its ability to quickly extract insights from data. Machine learning, and AI technology brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate—information such as temperature, pressure, humidity, air quality, vibration, and sound. AI technologies such as speech recognition and computer vision can help extract insight from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management. This book will cover all the emerging trends of Artificial Intelligence and IOT.
Submission Guidelines
NOTE: There is no publication fees.
Submitted manuscripts should conform to the standard guidelines of Springer book chapter format. Manuscripts must be prepared using Latex, or MS Word. Prospective authors should submit their manuscripts electronically through Easychair submission system or through email [ raghvendraagrawal7@gmail.com , rajshree.srivastava27@gmail.com].
List of Topics
PART 1: Introduction
· Introduction to IOT, IOT Architecture
· Introduction to AI
· IOT based smart city
· Home automation using IOT
· Security/privacy in IOT/distributed smart environments
· Smart Cities, intelligent buildings, autonomous driving
· Ethical and legal implications of connected environments
PART 2: NLP in AI
· Mobile robotics
· AI chat bots
· NLP based patient-doctor care
· Intelligent Drug Creation
PART 3: AI and IOT Based Technologies for Sustainable farming and Smart Agriculture
· AI in farming
· AI and future of agriculture
· Technologies for farming: IOT, Robotics
· Crop monitoring using real time
· Application of Smart Devices
· Case Study where IOT has played an important role in agriculture
PART 4: AI-Based Biomedical Signal Processing
· Intelligent Brain Signalling in Health Care
· Virtual Health Care Assistant using EEG Signalling
· Intelligent EEG Signal System
· Intelligent Body Area Network for Healthcare
· Intelligent Treatment Design using Signals
· Digital Signal Processing for Health records migration
· Case study
Contact
All questions about submissions should be emailed to [ raghvendraagrawal7@gmail.com , rajshree.srivastava27@gmail.com].