Big data analytics has become a significant trend for many businesses as a result of the
daily acquisition of enormous volumes of data. This information has been gathered because …

Financial markets are highly complex and volatile; thus, accurate forecasting of such
markets is vital to make early alerts about crashes and subsequent recoveries. People have …

Conventional blood pressure (BP) measurement methods have different drawbacks such as
being invasive, cuff-based or requiring manual operations. There is significant interest in the …

In recent years, with the construction of intelligent cities, the importance of environmental
sound classification (ESC) research has become increasingly prominent. However, due to …

Freezing of gait (FoG) is a common gait impairment in patients with advanced Parkinson's
disease (PD), which manifests as sudden difficulties in starting or continuing locomotion …

As the need for wildfire detection increases, research on wildfire smoke detection combining
low-cost cameras and deep learning technology is increasing. Camera-based wildfire …

Data driven approaches are utilized for optimal sensor placement as well as for velocity
prediction of wind turbine wakes. In this work, several methods are investigated for suitability …

In recent years, neural networks have become one of the common approaches used in
speech recognition (SR), with SR systems based on Convolutional Neural Networks (CNNs) …

Most automatic speech recognition (ASR) systems are optimised for one specific language
and their performance consequently deteriorates drastically when confronted with …

Development of Automatic Speech Recognition system for Kazakh language is very
challenging due to a lack of data. Existing data of kazakh speech with its corresponding …