Machine Intelligence

Computer Vision and Natural Language Processing

Pethuru Raj, P Beaulah Soundarabai, Peter Augustine

• Publisher: Auerbach Publications
• Year: 2023
• Print ISBN: 9781032201993
• eBook ISBN: 9781000960341
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines. Machines that can see and perceive can bring forth deeper and decisive acceleration, automation, and augmentation capabilities to businesses as well as people in their everyday assignments. Machine vision is becoming a reality because of advancements in the computer vision and device instrumentation spaces. Machines are increasingly software-defined. That is, vision-enabling software and hardware modules are being embedded in new-generation machines to be self-, surroundings, and situation-aware.

Machine Intelligence: Computer Vision and Natural Language Processing emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. The book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry.

Features:

• Motion images object detection over voice using deep learning algorithms
• Ubiquitous computing and augmented reality in HCI
• Learning and reasoning in Artificial Intelligence
• Economic sustainability, mindfulness, and diversity in the age of artificial intelligence and machine learning
• Streaming analytics for healthcare and retail domains

Covering established and emerging technologies in machine vision, the book focuses on recent and novel applications and discusses state-of-the-art technologies and tools.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• List of Figures
• List of Tables
• Preface
• Contributors
• List of Abbreviations
• Chapter 1 A New Frontier in Machine Intelligence: Creativity
• Chapter 2 Overview of Human-Computer Interaction
• Chapter 3 Edge/Fog Computing: An Overview and Insight into Research Directions
• Chapter 4 Reduce Overfitting and Improve Deep Learning Models’ Performance in Medical Image Classification
• Chapter 5 Motion Images Object Detection Over Voice Using Deep Learning Algorithms
• Chapter 6 Diabetic Retinopathy Detection Using Various Machine Learning Algorithms
• Chapter 7 IIoT Applications and Services
• Chapter 8 Design of Machine Learning Model for Health Care Index during COVID-19
• Chapter 9 Ubiquitous Computing and Augmented Reality in HCI
• Chapter 10 A Machine Learning-Based Driving Assistance System for Lane and Drowsiness Monitoring
• Chapter 11 Prediction of Gastric Cancer from Gene Expression Dataset Using Supervised Machine Learning Models
• Chapter 12 Sewer Pipe Defect Detection in CCTV Images Using Deep Learning Techniques
• Chapter 13 Learning and Reasoning Using Artificial Intelligence
• Chapter 14 A Novel Auto Encoder-Network-Based Ensemble Technique for Sentiment Analysis Using Tweets on COVID-19 Data
• Chapter 15 Economic Sustainability, Mindfulness, and Diversity in the Age of Artificial Intelligence and Machine Learning
• Chapter 16 Adopting Streaming Analytics for Healthcare and Retail Domains
• Index