From Theory to Practice: Implementing Intelligent Systems in Engineering Applications

Authors

  • Someshwar Siddi, S. Balamuralitharan, Santhoshkumar S., K Kavya ramya sree

Keywords:

Intelligent Systems, Artificial Intelligence, Machine Learning, Engineering Applications, System Implementation, Predictive Maintenance, Structural Health Monitoring

Abstract

AI and ML-driven intelligent systems have transformed engineering by simplifying decision-making, enhancing efficiency and enabling the easy implementation of flexible control. Developing intelligent systems in engineering is complex due to obstacles such as integrating them into existing systems, meeting rapid response needs and guaranteeing their sturdiness. This research delves into the obstacles and approaches for implementing effective intelligent systems in engineering. The analysis revealed that incorporating intelligent systems in engineering significantly enhances the efficiency and dependability of engineering tasks.

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Published

27.08.2024

How to Cite

Someshwar Siddi. (2024). From Theory to Practice: Implementing Intelligent Systems in Engineering Applications. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 2986 – 2994. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7578

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Section

Research Article