In this paper, we explore the effect of architecture completeness on
adv...
Identifying novel functional protein structures is at the heart of molec...
The beginning of 2021 saw a surge in volatility for certain stocks such ...
State-of-the-art convolutional neural networks excel in machine learning...
Architecture sizes for neural networks have been studied widely and seve...
In recent years, deep neural networks have had great success in machine
...
In this paper, we explore different deep learning based approaches to de...
Adversarial attacks are inputs that are similar to original inputs but
a...
With the growth in social media, there is a huge amount of images of fac...
Numerous recent studies have demonstrated how Deep Neural Network (DNN)
...
This study explores using different machine learning techniques and work...