Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing

1. Introduction to Machine Learning Fundamentals. 2. AI Applications in Production. 3. Data Analytics and Artificial Intelligence for Predictive Maintenance in Manufacturing. 4. Scalability and Deployment of Emerging Technologies in Predictive Maintenance. 5. AI Models for Predictive Maintenance. 6. Role of Machine Learning and Deep Learning Models for Predictive Maintenance. 7. Data Analytics and AI for Predictive Maintenance in Pharmaceutical Manufacturing. 8. Real-Time Violence Detection in Video Streams: Exploiting ResNet-50 for Enhanced Accuracy. 9. The Analytics Advantage: Sculpting Tomorrow's Decisions Today. 10. Using Ensemble Model to Reduce Downtime in Manufacturing Industry: An Advanced Diagnostic Framework for Early Failure Detection. 11. Use Cases of Digital Twin in Smart Manufacturing. 12. Data Analytics and Visualization in Smart Manufacturing Using AI-Based Digital Twins. 13. Business Analytics, Business Intelligence, and Paradigm Shift in Organizational Structure. 14. Applications of Human Computer Interaction, Explainable Artificial Intelligence and Conversational Artificial Intelligence in Real-Life Sectors. 15. AI for Industry 4.0 with Real-World Problems. 16. Industry 4.0 in Manufacturing, Communication, Transportation, Healthcare. 17. Advancing IoT Anomaly Detection through Dynamic Learning.

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• Ciência ambiental, engenharia e tecnologia
• Engenharia: geral
• Aspectos éticos e sociais da Tecnologia Informática
• Captura e Análise de Dados
• Inteligência artificial
• Engenharia mecânica
• Engenharia electrotécnica
• Engenharia do controlo automático
• Design de produtos
• Engenharia hidráulica

Big Data Analytics;PDM;Machine Learning;Condition Monitoring;Product Data Management;Decision-Making