Deep learning performs a great role in solving many problems, particularly with image
classification. Still, the performance of many architectures is often limited at some points …

The pandemic outbreak of COVID-19 created panic all over the world. The mathematical
principle in developing forecasting models aims to predict the number of future infections is …

The idea behind the suggested developed image compression system depends on the
application of DWT on error prediction values (Residual Image) instead of the original …

Privacy-preserving data mining is a modern technology that has been studied by many
researchers. There are two types of Privacy-preserving association rules regarding the type …

The symptoms can be detected through the use of sensors in smartphones that produce a
large amount of data that we use to detect symptoms of the disease, processing all data …

Image smoothing filters are applied to reduce the amount of noise in digital images by
applying the convolution process on image pixels. However, the implementation of these …

The application of radial basis function networks for approximating functions and solving
partial differential equations has investigated. Fast gradient first-order methods and an …

Recommendation system become important to deal with huge available information in the
social media like Facebook, Twitter and other social networking to recommend and targeting …

The identification and forecasting of defective items was and still one of the most important
topics that are because of their contribution in terms of product cost reduction, besides, to …

Architectural design process needs many skills for creative design. In the last decades, there
was a shift in architecture learning according to the impact of world media and computer …