These days, face recognition systems are widely being employed in various daily
applications such as smart phone unlocking, tracking school attendance, and secure online …

The convolutional neural network (CNN) has been widely used in image recognition field
due to its good performance. This paper proposes a facial expression recognition method …

This paper surveys and examines how computer-aided techniques can be deployed in
detecting pneumonia. It also suggests a hybrid model that can effectively detect pneumonia …

We investigate a number of Artificial Neural Network architectures (well-known and more
“exotic”) in application to the long-term financial time-series forecasts of indexes on different …

Face Recognition plays a major role in the new modern information technology era for
security purposes in biometric modalities and has still various challenges in many …

This paper analyzes the Machine Learning approach to classifying sleep
electroencephalograms recorded from newborns at risk of brain pathologies. The newborns …

The catastrophic forgetting of the previously learned patterns during continuous life-long re-
training of the models is a well-known machine learning problem. We propose an explicit …

Banks and financial firms have continuously researched and devised solutions to detect and
prevent credit card fraud. It is one of the primary focuses for researchers and other research …

The use of credit cards has become quite common these days as digital banking has
become the norm. With this increase, fraud in credit cards also has a huge problem and loss …

The banking industry is significant to everyone's daily lives because of the services it
provides. We utilize banking services and products, including internet banking and physical …