Convergence of Artificial Intelligence and the Internet of Things, Mastorakis George, Mavromoustakis Constandinos X., Batalla Jordi Mongay

• Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
• Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, Business Intelligence, Augmented Reality and Our Future

This book covers everything from machine learning to robotics and the internet of things.

You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook.

By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.

You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today.

In part 1 of this book, you will:

• Understand how machines can "think" and how they learn
• Learn the five reasons why experts are warning us about AI research
• Find the answers to the top six myths of artificial intelligence
• Learn what neural networks are and how they work, the "brains" of machine learning
• Understand reinforcement learning and how it is used to teach machine learning systems through experience
• Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning
• Learn the basics of recommender systems
• Expand your current view of machines and what is possible with modern robotics
• Enter the vast world of the internet of things technologies
• Find out why AI is the new business degree
• And much, much more

Some of the topics covered in part 2 of this book include:

• Origins of IoT
• IoT Security
• Ethical Hacking
• Internet of Things
• Under The Cushy Foot of Tech Giants
• The Power of Infinite Funds
• IoT Toys
• Bio-robotics
• Predictive Analytics
• Machine Learning
• Artificial Intelligence
• Cybersecurity
• Big Data
• Business Intelligence
• Augmented Reality
• Virtual Reality
• Our Future
• And much, much more

If you want to learn more about the artificial intelligence and internet of things, then scroll up and click "add to cart"

• Artificial Intelligence: An Essential Beginner's Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future
• Robotics: What Beginners Need to Know about Robotic Process Automation, Mobile Robots, Artificial Intelligence, Machine Learning, Autonomous Vehicles, Speech Recognition, Drones, and Our Future

So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars?

What kind of impact will smart machines have on society and the future of human jobs?

This book will give you a glimpse into the most fascinating topic of the 21st century--artificial intelligence (AI), a hypothetical simulation of a living brain inside a computer.

In part 1 of this book, you will:

• Confluence of Interests
• AI Myths
• Manipulating the Limbic System
• Motivation for Creating AI
• Basic Concepts
• IoT Ecosystem
• Fighting Against Tech Giants
• Seminal Inventions
• Fear-based Consumerism
• AI and Growth Hacking
• AI and Correcting Fake News
• AI and Big Data
• AI and Employment
• AI and The Legal System
• AI and Self-driving Vehicles
• Tech Giants As Rulers of Society
• AI as One World Religion
• Dietary Advice by AI
• AI and Loneliness
• AI and Ethics
• AI and Social Credit
• Hacking AI
• AI as Sports Referees
• And much, much more

Some of the topics covered in part 2 of this book include:

• The basics of robotics and what some of the advantages and disadvantages are.
• Reasons that experts are trying to warn us about robots.
• Myths about robots and the actual truth.
• Robotic Process Automation and how it relates to robotics.
• Mobile robots and how they have changed throughout the years.
• Artificial Intelligence and how it can be tied to robotics.
• Machine learning and how robots use it.
• Autonomous vehicles and how they work.
• How robots use speech recognition.
• Drones - what they are and how they work.
• How robots are being used in business and how they could take your job.
• Answers to frequently asked questions about robotics.
• And much, much more

If you want to learn more about artificial intelligence, then scroll up and click "add to cart"

With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.

This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.

The groundbreaking book presents state-of-the-art chapters on many subjects including:

• A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
• A review of current augmenting dental care
• An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
• A review of telemedicine technologies
• Building empathy in young children using augmented reality
• AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
• Mobile doctor brain AI App
• An artificial intelligence mobile cloud computing tool
• Development of a robotic teaching aid for disabled children
• Training system design of lower limb rehabilitation robot based on virtual reality

Acknowledgment

Conference Committees

Track 1: Innovation in the Digital Era

Chapter 1
Model-based Validation of Business Processes: Case Study of Logistic Sector

Firna Muninggar Kistianti, Muharman Lubis, and Asti Amalian Nur Fajrillah,

Chapter 2

COVID-19 Lung Image Classification based on Logistic Regression and Support Vector Machine

Nazish, Syed Irfan Ullah, Abdus Salam, Wajid Ullah, and Muhammad Imad

Chapter 3
Performance Analysis of POX and RYU based on Dijkstra's Algorithm for Software Defined Networking

Naimullah, Syed Irfan Ullah, Arbab Wajid Ullah, Abdus Salam, Muhammad Imad, and Farhat Ullah

Chapter 4

Priority Based Power Delivery System for Electric Vehicle Charging

Noaima Bari, Ahteshamul Haque, Gaurav Ahuja, and V S Bharath Kurukuru

Chapter 5
Clustering Algorithms as a tool for Odour Classifications in E-nose Developments

Yousif Albastaki

Chapter 6
Bidirectional Octonion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition

Shobarani Salvadi, Dr.D.Nagendra Rao, and Dr. Srinivasan Vatsal3,

Chapter 7
E-Learning Acceptance during the Covid-19 Outbreak: A cross-sectional study

Mohammed Habes, Sana Ali, Atiqa Khalid, Hiba Abou Haykal, Mokhtar Elareshi, Tabinda Khan, and Abdulkairm Ziani

Chapter 8
Digital Social Contracts with AI Robots: Some Implications for Amazon.com

Frank T. Lorne and, Mahita Reddy Gogireddy

Rajkumar Rajasekaran, Dr.Jolly Masih, and Damandeep Kaur

Chapter 10

Facebook advertising in the era of Digital Economy

Sharma Megha, Dangwal Chandra Ramesh, and Masih Jolly

Chapter 11
Life-Saving APP: Snake Classification 'Venomous and Non-Venomous' using fast.ai based on Indian Species

Dr Lakshmi D, Ramesh Chandra Panda, Amrita, and Mr. Abhinav Prakash

Chapter 12
Digital Media Usage among Arab Journalists during Covid-19 Outbreak

Abdul-Karim Ziani1, Mokhtar Elareshi, Mohammed Habes, Khalaf Mohammed Tahat, and Sana Ali

Track 2: Industry 4.0 Management for Sustainable Technologies

Chapter 13
Impact of E-Procurement on Supply Chain Performance

Ali M. Albinkhali

Chapter 14
Predicting Pyramid Geometric Solar Water Still Plant Efficiency using RBF Based Multi-layer Perceptron

Rajeev Raghuvanshi, MD Ilyas, and Surbhi Sharma

Chapter 15

Comparative Analysis of Machine Learning Algorithms for Stock Market Prediction During Covid-19 Outbreak

Jolly Masih, Rajkumar Rajasekaran, Neha Saini and Damandeep Kaur

Chapter 16

Bitcoin Prediction using Ensemble Modelling

Govinda K, Rajkumar R, and Jolly Masih

Chapter 17

Structural Modeling of the Lean Supply Chain Enablers

Hemant Sharma and Nagendra Sohani

Chapter 18

Increasing productivity and quality with IoT technologies in industrial treatment systems

Adem Kayar, Fatih Цztьrk, and Hakan Ceyhan

Chapter 19

Intelligent Community Detection: Comparative Study (Covid19 Dataset)

Jenan Moosa, Wasan Awad, and Tatiana Kalganova

Chapter 20
An Exploration into the Posture of Robo-Advisor Globally

Ismail Canoz

Each chapter addresses practical, measurement, theoretical and research questions about how these "things" may affect individuals, teams, society or each other. Of particular focus is what may happen when these "things" begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other "things."

• Considers the foundations, metrics and applications of IoE systems
• Debates whether IoE systems should speak to humans and each other
• Explores how IoE systems affect targeted audiences and society
• Discusses theoretical IoT ecosystem models