Feature selection aims to eliminate redundant or irrelevant variables from input data to
reduce computational cost, provide a better understanding of data and improve prediction …

Recent developments of portable sensor devices, cloud computing, and machine learning
algorithms have led to the emergence of big data analytics in healthcare. The condition of …

Feature selection (FS) is a crucial step for effective data mining since it has largest effect on
improving the performance of classifiers. This is achieved by removing the irrelevant …

The big data is based on the 3V challenges that are the volume, the variety, and velocity. Big
data is collected from various sources and it is seen that data comes in a various format in …

Text classification (TC) is a crucial practice in case of organizing a vast number of
documents. The computational complexity of the TC process is usually high because of the …

The recent advancements in sensor, big data, and artificial intelligence (AI) have introduced
digital transformation in the manufacturing industry. Machine maintenance has been one of …

Sleep stage classification is one of important aspects in sleep studies, which can give
clinical information for diagnosing sleep disorder and measuring sleep quality. Due to the …

Breast Cancer (BC) has been increasing in incidence among women for a variety of
reasons, and prompt detection and management are essential to reducing mortality rates. In …

Artificial life is a living behavior that comes from animals and humans which is currently used
as inspiration in making algorithms and is usually used to look for patterns such as …

As one of the major regions of carbonate rock oil–gas exploration in western China,
Tazhong area of the Tarim Basin has severe environment and complex ground surface …