Deep learning and additive manufacturing have progressed together in the previous couple
of decades. Despite being one of the most promising technologies, they have several flaws …

The search for structural and microstructural defects using simple human vision is
associated with significant errors in determining voids, large pores, and violations of the …

Smart robots play a crucial role in assisting human workers within manufacturing units (like
Industry 4.0) by perceiving and analyzing their surroundings using Deep Learning (DL) …

Automated methods for defect detection are a major goal of intelligent manufacturing
systems, and additively manufactured (AM) parts presents unique challenges with complex …

To improve accessibility, this article describes a static, four-legged walker that can be
constructed from materials and fasteners commonly available from hardware stores coupled …

Proper process parameter calibration is critical to the success of fused deposition modeling
(FDM) three‐dimensional (3D) printing, but is time‐consuming and requires expertise. While …

We present the Open Stamped Parts Dataset (OSPD), featuring synthetic and real images of
stamped metal sheets for auto manufacturing. The real part images, captured from 7 …

Synthetic images have been used to mitigate the scarcity of annotated data for training deep
learning approaches, followed by domain adaptation that reduces the gap between …

Agricultural productivity in strawberry cultivation was enhanced through the application of
machine learning in this study. Traditional methods for detecting diseases and assessing …