Reinforced composite is a preferred choice of material for the design of industrial lightweight
structures. As of late, composite materials analysis and development utilizing machine …

Electromyography (EMG) signals are essential, as they are used to measure muscular
activity in different parts of the human body. The measurement and analysis of EMG signal …

To explore the influence of the fusion of different features on recognition, this paper took the
electromyogram (EMG) signals of rectus femoris under different motions (walk, step, ramp …

In this work, it was studied the possibility of improving the sEMG signal collected from
surface electrodes placed on the skin by depositing metallic nanofilms of three metals (gold …

Recently, the field of automotive technology has witnessed great development, especially
with regard to vehicle stability and passenger safety. Therefore, it is important to include …

• Any text-based problem should be converted into a form that can be modeled.• The input
text is converted into features using Feature Extraction-Inverse Document Frequency TF-IDF …

Artificial intelligence is effectively utilized for hand gesture classification in myoelectric
systems. In this study, hand movement classification is performed with ML algorithms using …

Anti-lock braking system (ABS) is considered an essential safety system in electric vehicles
that works to grant a reliable vehicle driving experience, and it is very important to ensure …

The analysis of electromyography (EMG) signals plays a vital role in diverse applications
such as medical diagnostics and prosthetic device control. This study focuses on evaluating …

The ability to control a vehicle using only your brain without moving any muscle contributes
a promising technique for our society [1], not least for people with a movement hindering …