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 …

In this review article, we explore the transformative impact of deep learning (DL) on
structural bioinformatics, emphasizing its pivotal role in a scientific revolution driven by …

This study addresses the problem of the automatic detection of disease states of the retina.
In order to solve the abovementioned problem, this study develops an artificially intelligent …

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

Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a
tool to analyze general microfluidic videos to infer physical quantities. The state-of-the-art …

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 …

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