Real-Time Artificial Intelligence (AI)

Key Motivations, Technologies, Platforms, and Use Cases

Pethuru Raj, B. Sundaravadivazhagan, V. Kavitha, B. Narendra Kumar Rao, Hannah Vijaykumar

• Publisher: Apple Academic Press
• Year: 2026
• eBook ISBN:
  9781040884331
• Topic: Informatique
• Subtopic: Réseaux informatiques

Demonstrating the benefits of the real-time capture of data using AI, this new volume discusses how AI services and applications are indispensable for setting up and sustaining real-time enterprises, using historical as well as runtime data to extract actionable insights in the needed time, leading to insights. Chapters showcase the applications of real-time artificial intelligence in diverse sectors, such as using deep learning for plant disease detection, using AI for IT entrepreneurship, in healthcare for breast cancer and eclampsia screening and monitoring, for fraud detection in online transactions, for traffic sign detection and classification in autonomous vehicles, and more.

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• About the Editors
• Contents
• Contributors
• Preface
• Chapter 1 Machine Learning and Deep Learning Algorithms for Modern Science and Technology: Applications and Challenges
• Chapter 2 Exploring Incremental and Deep Learning Approaches for Plant Disease Detection: A Comprehensive Review
• Chapter 3 Machine, Deep, and Reinforcement Learning Algorithms and Applications
• Chapter 4 AIOps-Powered Entrepreneurship: Harnessing AI for Operational Excellence and Rapid Growth
• Chapter 5 Leveraging Incremental Learning for Agile Entrepreneurship: A Practical Guide to Continuous Learning and Adaptation in Dynamic Markets
• Chapter 6 Development of an Artificial Intelligence-Based Breast Cancer (BC) Prediction in Healthcare Systems
• Chapter 7 An Energy-Efficient Approach-Based Prediction in a Sensor Cloud System by Using Machine Learning Methods
• Chapter 8 Using Online Predictions and Machine Learning for Fraud Detection in Online Transactions
• Chapter 9 Incremental Learning in Real-Time Artificial Intelligence
• Chapter 10 Exploring of AI-Powered Application in Chatbots for Future Development
• Chapter 11 AX-YOLOV8-Based Indian Traffic Sign Detection and Classification in Autonomous Vehicles
• Chapter 12 Empowering Women's Health: Artificial Intelligence Applications in Pre-Eclampsia Screening and Monitoring
• Chapter 13 Incremental Learning
• Chapter 14 Understanding the Role of Artificial Intelligence in the Industry 4.0 Ecosystem a Digital transformation: Case Studies
• Chapter 15 Artificial Intelligence for the Digital Era: Unleashing the Power of Intelligent Technologies
• Chapter 16 An Enhanced Hidden Markov Model for Predicting Two Tier Web Page and Improving Accuracy
• Chapter 17 Operationalizing Machine Learning: The Path to MLOps Excellence
• Index