Industry 6.0

The proposed book entitled Industry 6.0: Technology, Practices, Challenges and Applications determine the ways to create a paradigm shift from conventional to intelligent companies by integrating Industry 6.0 technology with data, identifies limitations, pitfalls, and open research questions in industry 6.0.

1. Exploring the Synergy of IIoT, AI, and Data Analytics in Industry 6.0. 2. Artificial Intelligence and Machine Learning in Industry 6.0. 3. Big Data Fusion with GEN AI Tools: Driving Industry 6.0 Advancements. 4. Aerometamorphosis in Industry 6.0: Pioneering Structural Adaptability in Contemporary Aviation using Deep Learning. 5. Industry 6.0 in Transportation Systems: Exploring the Simulated Futures of Automated Bus Fleet Integration with Alternative Fuel Infrastructures in Closed Socio technical Environments. 6. Enhanced Deep Learning Networks for Advanced Intrusion Detection and Prevention Systems. 7. Using the Fuzzy Analytical Hierarchal Process for Selecting a Closed Socio technical Environment for Autonomous Vehicles Testing in the World of Industry 6.0. 8. ScatterNet based IPOA for predicting violent individuals using Real-time drone surveillance system. 9. An Optimal Framework for Intelligent Machine Learning-Based Early Diagnosis of Pre-Diabetes And Type-2 Diabetes Using Genomic Data. 10. DiabalanceML: Enhancing Diabetes Detection Performance through Dataset Balancing Strategies. 11. Identification of Earth Quake Patterns for Predictive Modeling using Decision Tree Classifiers to maintain Sustainability.