Computational Intelligence in Industry 4.0 and 5.0 Applications

1. Industry 4.0: Challenges and Issues Encountered in Manufacturing and Testing of MEMS Devices. 2. The Industrial Internet of Things (IIoT): Overview, Architecture, Challenges, and Possible Solutions. 3. Artificial Intelligence in Industry 5.0: Transforming Manufacturing through Machine Learning and Robotics in Collaborative Age. 4. Computational Intelligence in the Industrial Internet of Things. 5. Security, Privacy, Trust, and Other Issues in Industries 4.0 and 5.0. 6. Fine-Tuning for a Deep Learning Model in Optimizing Ransomware Attack Detection in the Industry 4.0 and 5.0 Era. 7. Blockchain in Industry 4.0 and Industry 5.0: A Paradigm Shift towards Decentralized Efficiency and Autonomous Ecosystems. 8. Integration of Digital of Twins in Industries 4.0 and 5.0. 9. Computational Intelligence in Big Data Analytics. 10. The Role of Augmented Reality, Virtual Reality, and Mixed Reality in Industries 4.0 and 5.0. 11. Industry 4.0 Design Principles, Technologies, and Applications. 12. Industry 4.0 and Computational Intelligence for Fighting COVID-19: A Case Study.

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• Redes de computadores e comunicações
• Engenharia electrotécnica
• Inteligência artificial
• Mineração de Dados
• Tecnologia da informação: aspectos gerais
• Tecnologia WAP (sem fios)
• Engenharia electrónica

IIoT;Machine learning;Deep learning;AI