Background Electroencephalography (EEG) signals recorded during mental arithmetic tasks
can be used to quantify mental performance. The classification of these input EEG signals …

The cement industry is a major energy consumer, with most of its costs associated with fuel
and energy requirements. While traditional thermal power plants generate electricity, they …

Stress has a significant mental health problem of the 21st century. The number of people
suffering from stress is increasing rapidly. Thus, easy-to-use, inexpensive, and accurate …

The primary purposes of the biomedical signals are the detection or diagnosis of disease or
physiological states. These signals are also employed in biomedical research to model and …

Schizophrenia is a mental illness that can negatively impact a patient's mental abilities,
emotional propensities, and the standard of their private and social lives. Processing EEG …

Abstract Fully Connected Network inference is a complex algorithm that can be accelerated
using edge devices like Field Programmable Gate Array (FPGA). One commonly known …

People with disabilities struggle to perform specific tasks throughout their daily life. However,
BCI systems are developed to assist people struggling with motor impairment by …

In this research, we are concerned with the applicability of virtual reality-based attention
training as a tool for stress management. Mental stress is a worldwide challenge that is still …

Zusammenfassung Die Hauptzwecke der biomedizinischen Signale sind die Erkennung
oder Diagnose von Krankheiten oder physiologischen Zuständen. Diese Signale werden …

Electroencephalogram (EEG) signals, inherently non-stationary and non-linear, present
significant challenges in their processing and interpretation. This paper presents a hybrid …