A comparative study of different machine learning approaches for predicting cutting force and surface roughness during ultrasonic-assisted milling

Y El-Taybany, GA Elhendawy - International Journal of …, 2024 - inderscienceonline.com
This study utilises machine learning (ML) approaches to predict the performance of
ultrasonic-assisted milling (UAM) of soda-lime glass based on the experimental results. The …

[PDF][PDF] ADVANCED PREDICTIVE MODELING FOR ENHANCING MANUFACTURING EFFICIENCY IN CONCRETE STRUCTURES: A NOVEL HYBRID APPROACH

BS Negi, A Bhatt, N Negi - Proceedings on Engineering, 2024 - pesjournal.net
Concrete structures are fundamental to modern infrastructure, and their efficient
manufacturing is crucial for sustainable construction practices. However, traditional …

[PDF][PDF] ENHANCING A NOVEL NEURAL NETWORK ALGORITHM FOR FORECASTING THE IDENTIFICATION OF SHAPES AND DEFECTS IN POLYMER …

VM Kapse, AK Marandi, B Nagappan… - Proceedings on …, 2024 - pesjournal.net
The increased durability and performance features of polymer concrete panels have led to
their widespread application in construction. The manufacturing of precise and effective …