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Full Description
Disruptive Technologies: Transforming Industries with Smart Solutions explores the transformative impact of next-generation technologies on modern life, industry, and infrastructure. This interdisciplinary volume presents cutting-edge research and practical implementations in AI, machine learning, IoT, blockchain, federated learning, and cloud computing—technologies that are shaping the future of smart cities, industries, energy systems, and cybersecurity.
With contributions from leading scholars and industry experts, the book delves into real-time decision-making strategies, scalable architectures, secure data analytics, and ethical frameworks. Whether optimizing industrial processes, enabling intelligent scheduling, or ensuring secure data sharing, the chapters offer deep insights into solving complex, dynamic challenges in real time.
This book:
Examines disruptive technologies within smart systems, encompassing a range of cutting-edge advancements such as artificial intelligence, machine learning, and edge computing.
Highlights the importance of using artificial intelligence and machine learning for real-time decision-making.
Showcases real-world case studies, and examples demonstrating the impact of disruptive technologies in diverse sectors such as communication, and healthcare.
Illustrates the use of augmented reality and virtual reality in smart applications.
Offers pragmatic approaches and tactics for applying disruptive technologies in practical contexts, empowering readers with the necessary means to harness the potential of these technologies efficiently.
Designed for researchers, professionals, and students, this book serves as a definitive guide to the innovations powering the fourth and fifth industrial revolutions.
Contents
1. Evolution, Impact, and Future of Cloud Computing: Integrating IoT for Innovative Applications and Emerging Trends. 2. Leveraging AI and Machine Learning for Real-Time Decision-Making: Innovations and Applications in Smart Technologies. 3. Accelerating Decision Making with AI and ML: A Real-Time Approach in Smart Industrial Solutions. 4. Distributed Deep Learning for Large-Scale Collective Intelligence used in Smart Solutions. 5. Blockchain and Federated Learning for Secure and Decentralized Real-Time IoT Data Analytics. 6. Cybersecurity for Safeguarding Machine Ecosystems in Industry 5.0. 7. Smart Cities: Advancing Real-Time Urban Development. 8. Disruptive Technologies in Smart Cities: Advancing Urban Development through Scheduling Innovations. 9. IoT-Driven Energy Optimization: Transforming Smart Solutions for Sustainable Infrastructure. 10. Disruptive AI: GANs for Smart Security Visualization in a Connected World. 11. Optimizing Scheduling Algorithms for Real-Time Problem Solving in Smart Technologies over the Cloud Environment. 12. Implementing AI-Driven Predictive Analytics for Real-Time Decision-Making in Smart Industries. 13. Ethical and Legal Considerations in AI and Machine Learning: A perspective to Smart Solutions.
