Applications of internet-of-things (IoT) are increasingly being used in many facets of our
daily life, which results in an enormous volume of data. Cloud computing and fog computing …

Selecting the most relevant subset of features from a dataset is a vital step in data mining
and machine learning. Each feature in a dataset has 2n possible subsets, making it …

The Internet of Things (IoT) is a modern approach that enables connection with a wide
variety of devices remotely. Due to the resource constraints and open nature of IoT nodes …

The increase of many pillars within the dataset makes it needed to pick the best part of
features. The feature selection approach directly influences the performance of the style in …

Electrocardiogram (ECG) signal is a measure of the heart's electrical activity. Recently, ECG
detection and classification have benefited from the use of computer-aided systems by …

The big data comprises a relatively developing area of study which is due to numerous facts
gathered daily and the wishes to be helpful information for use in our day by day life. One of …

Over the past few decades, Machine Learning (ML) has evolved from the endeavour of few
computer enthusiasts exploiting the possibility of computers learning to play games, and a …

E-commerce refers to a system that allows individuals to purchase and sell things online.
The primary goal of e-commerce is to offer customers the convenience of not going to a …

Many organizations apply cloud computing to store and effectively process data for various
applications. The user uploads the data in the cloud has less security due to the unreliable …

The use of superpixels instead of pixels can significantly improve the speed of the current
pixel-based algorithms, and can even produce better results in many applications such as …