
International Journal of Cognitive Computing in Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
International Journal of Cognitive Computing in Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 205 - 220
Published: May 1, 2025
Consequently, this paper contains a thorough comparative assessment of the costs and benefits associated with applying upgrades in AI safety for automobile manufacturing process emphasis on streamlining production line work increase protection plants' employees. Data preparation starts data encoding so that categorical points like type system standards can be incorporated into analysis right way. The relevant features are then determined using GBM to arrive at correlation between success upgrades, cost, time factors, improvements. Classification is done using, which classify as efficient nonefficient upgrades. results provide information prove efficiency systems processes impact rate accidents possible measures cost reductions. Finally, provides recommendations automotive manufacturers regarding investment technologies.
Language: Английский
Citations
0International Journal of Cognitive Computing in Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0