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Experimental evaluation demonstrates improved real-time performance, decision accuracy, fault detection, scalability, and resource utilization, making the Edge Intelligence framework well suited for next-generation smart manufacturing and sustainable industrial automation.
It is concluded that the future of work will depend on co-evolutionary human-AI collaboration, requiring organizational restructuring, policy development, and ethical safeguards to ensure sustainable productivity and innovation.
Results demonstrate that smart sensor-based systems outperform conventional sensing systems in efficiency, fault detection, responsiveness, energy savings, and data accuracy, making them a key enabler of Industry 4.0 and future autonomous engineering applications.
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