From Theory to Practice: Implementing Intelligent Systems in Engineering Applications
Keywords:
Intelligent Systems, Artificial Intelligence, Machine Learning, Engineering Applications, System Implementation, Predictive Maintenance, Structural Health MonitoringAbstract
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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Copyright (c) 2025 Someshwar Siddi, S. Balamuralitharan, Santhoshkumar S., K Kavya ramya sree

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