Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a
rapid prototy** method to a viable manufacturing tool. AM technologies can produce parts …

Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …

Recently, with the massive growth of IoT devices, the attack surfaces have also intensified.
Thus, cybersecurity has become a critical component to protect organizational boundaries …

Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded
key points and requires prior knowledge. Training an efficient HDR network with these …

Deep learning (DL) technology has been the best way to execute class over the most recent
couple of years. These techniques were extended more specifically to retinal blood vessel …

Neural networks have made big strides in image classification. Convolutional neural
networks (CNN) work successfully to run neural networks on direct images. Handwritten …

Automated bank cheque verification using image processing is an attempt to complement
the present cheque truncation system, as well as to provide an alternate methodology for the …

Devanagari script is the most widely used script in India and other Asian countries. There is
a rich collection of ancient Devanagari manuscripts, which is a wealth of knowledge. To …

Many problems can reduce handwritten character recognition performance, such as image
degradation, light conditions, low-resolution images, and even the quality of the capture …

This study introduces a quantum-inspired computational paradigm to address the
unresolved problem of Convolutional Neural Networks (CNNs) using the Rectified Linear …