Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …

Today's manufacturing processes are pushed to their limits to generate products with ever-
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …

Highlights•Data-driven genetic algorithm is proposed and employed for machining process
parameters optimization.•Deep learning is employed to automatically develop the data …

Materials discovery is rapidly revolutionizing all aspects of our lives. However, the design
and fabrication of materials are often unsustainable and resource-intensive. Hence, we …

Artificial intelligence covers a variety of methods and disciplines including vision, perception,
speech and dialogue, decision making and planning, problem solving, robotics and other …

This study investigated the AISI 1040 steel turning in dry environment with four cutting
inserts of different corner radii coated by CVD method. Experimental investigations were …

Springback is particularly common in metal tube bending, which extremely affects the metal
tube axial accuracy. At present, the springback mechanism still remains unclear due to the …

The manufacturing industry must reduce energy consumption during the machining process
to comply with energy demand and usage restrictions. Previous research has employed …

Vis-NIR hyperspectral imaging (HSI) system combined with artificial neural networks was
investigated for the first time to monitor color changes of large yellow croaker (Larimichthys …

Recent scientific studies have noted that the seminal quality of males is significantly
decreasing due to lifestyle and environmental factors. Clinical diagnosis of sperm quality is …