An Extensive Analysis of Technological Frameworks With the Rise of Industry 5.0
Brijesh Goswami, P. Uma Maheswari, Kilaru Aswini, Vijilius Helena Raj, Joshuva Arockia Dhanraj, Atul Kumar Singla · Advances in business information systems and analytics book series · 2024
Sectors are the main drivers of economic expansion. However, the changes brought about by the technological revolutions have a direct impact on the industries and their personnel. By fusing human experience with precise, clever, and effective machinery, Industry 5.0 aims to create more user-friendly and efficient production solutions than Industry 4.0. A number of innovative methods and applications are under development, which will enable Industry 5.0 to increase output and logically provide services that are customised for each unique consumer. Strong empirical evidence supporting the transformative potential of ML and DL methods when incorporated into Industry 5.0 is provided by this substantial experimental investigation. ANN, RNN, GAN, and BRDT are a few deep learning algorithm examples. The findings offer concrete evidence of the vital roles ML and DL methods play in enhancing energy efficiency, optimising production processes, and increasing the bar for product quality in the fast-paced Industry 5.0 scenario.