The computerized detection of Parkinson's disease (PD) will facilitate population screening
and frequent monitoring and provide a more objective measure of symptoms, benefiting both …

Speech coding is the process of compressing speech signals for transmission and storage
in communication systems. In recent years, speech coding has become increasingly …

Deep learning can be used for audio signal classification in a variety of ways. It can be used
to detect and classify various types of audio signals such as speech, music, and …

Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not
only for interacting with machines but also for facilitating communication for individuals with …

Problem—Since the outbreak of the COVID-19 pandemic, mass testing has become
essential to reduce the spread of the virus. Several recent studies suggest that a significant …

Fault diagnosis of mechanical equipment using data-driven machine learning methods has
been developed recently as a promising technique for improving the reliability of industrial …

Coronavirus has an impact on millions of lives and has been added to the important
pandemics that continue to affect with its variants. Since it is transmitted through the …

In the last decade, there has been a surge of interest in addressing complex Computer
Vision (CV) problems in the field of face recognition (FR). In particular, one of the most …

The constantly developing biomedical engineering field and newer and more advanced BCI
(brain–computer interface) systems require their designers to constantly develop and search …

Many deep-learning-based seizure detection algorithms have achieved good classification,
which usually outperformed traditional machine-learning-based algorithms. However, the …