As new generations of technology appear, legacy knowledge management solutions and
applications become increasingly out of date, necessitating a paradigm shift. Machine …

Continuous monitoring of diabetic patients improves their quality of life. The use of multiple
technologies such as the Internet of Things (IoT), embedded systems, communication …

Most common machine learning (ML) algorithms usually work well on balanced training
sets, that is, datasets in which all classes are approximately represented equally. Otherwise …

Electroencephalogram (EEG) signals have been generally utilized for diagnostic systems.
Nowadays artificial intelligence-based systems have been proposed to classify EEG signals …

In additive manufacturing (also known as 3D printing), a layer-by-layer buildup process is
used for manufacturing parts. Modern laser 3D printers can work with various materials …

The classification of birdsong has very important signification to monitor the bird population
in the habitats. Aiming at the birdsong dataset with complex and diverse audio background …

Hyperspectral image (HI) analysis is becoming popular in remote sensing applications due
to its high spectral resolution along with high spatial resolution compared to a Multispectral …

In this paper, we present the results of the research concerning extraction of informative
gene expression profiles from high-dimensional array of gene expressions considering the …

The outbreak of coronavirus disease 2019 (COVID-19) continues to have a catastrophic
impact on the living standard of people worldwide. To fight against COVID-19, many …

Automated benign and malignant breast masses classification is a crucial yet challenging
topic. Recently, many studies based on convolutional neural network (CNN) are presented …