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Full Description
This new volume discusses how real-time artificial intelligence 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 real-time insights. It explains the trends and transitions happening in the AI space and how those innovations are being smartly leveraged for bringing in real transformation in the cybersecurity space.
This volume has collected and incorporated information that directly and indirectly supplements the ideals of real-world and real-time AI. Chapters showcase the applications of real-time artificial intelligence in diverse sectors with a variety of case studies. They provide an overview of machine learning and deep learning algorithms for modern science and technology and then delve into using deep learning for plant disease detection, using AI for IT entrepreneurship, in healthcare for breast cancer prediction and eclampsia screening and monitoring, for fraud detection in online transactions, for traffic sign detection and classification in autonomous vehicle, and more. The book explores the future of AI-powered applications in chatbots, evaluates the role of AI in digital transformation, and more.
Demonstrating the benefits of real-time capturing of data using AI, this volume will provide insight and inspiration for security architects and consultants in the IT industry, research students and scholars, academic professors, business executives, and many others.
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
