Real-Time Artificial Intelligence (AI) : Key Motivations, Technologies, Platforms, and Use Cases

Raj, Pethuru (EDT)/ Sundaravadivazhagan, B. (EDT)/ Kavitha, V. (EDT)

Apple Academic Press Inc.（2026/03発売）

• 製本 Hardcover:ハードカバー版／ページ数 516 p.
• 言語 ENG
• 商品コード 9781998511341

Full Description

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.

Contents

1. Machine Learning and Deep Learning Algorithms for Modern Science and Technology: Applications and Challenges 2. Exploring Incremental and Deep Learning Approaches for Plant Disease Detection: A Comprehensive Review 3. Machine, Deep, and Reinforcement Learning Algorithms and Applications 4. AIOps-Powered Entrepreneurship: Harnessing AI for Operational Excellence and Rapid Growth 5. Leveraging Incremental Learning for Agile Entrepreneurship: A Practical Guide to Continuous Learning and Adaptation in Dynamic Markets 6. Development of Artificial Intelligence-Based Breast Cancer (BC) Prediction in Healthcare Systems 7. An Energy-Efficient Approach-Based Prediction in Sensor Cloud System by Using Machine Learning Methods 8. Using Online Predictions and Machine Learning for Fraud Detection in Online Transactions 9. Incremental Learning in Real-Time Artificial Intelligence 10. Exploring of AI-Powered Applications in Chatbots for Future Development 11. Ax-YOLOv8-Based Indian Traffic Sign Detection and Classification in Autonomous Vehicle 12. Empowering Womens Health: Artificial Intelligence Applications in Pre-Eclampsia Screening and Monitoring 13. Incremental Learning 14. Understanding the Role of Artificial Intelligence in the Industry 4.0 Ecosystem: A Digital Transformation: Case Studies 15. Artificial Intelligence for the Digital Era: Unleashing the Power of Intelligent Technologies 16. An Enhanced Hidden Markov Model for Predicting Two-Tier Webpage and Improving Accuracy 17. Operationalizing Machine Learning: The Path to MLOps Excellence