Objective pain evaluation is crucial for determining appropriate treatment strategies in
clinical settings. Studies have demonstrated the potential of using brain–computer interface …

This study aims to provide price predictions for automotive steel materials using machine
learning (ML) methods to develop purchasing strategies with business theories. The primary …

Since the birth of modern medicine and neuroscience, scientists have been searching for a
pain centre in the brain. In particular, they have been trying to find a pain biomarker in the …

Pain is acknowledged as the body alarm system that reminds us of the environmental threat,
muscle damage or the presence of some disease condition (1, 2). The pain is directly related …

Today, in order to prevent chronic stress from causing irreparable damage, it is imperative to
diagnose and treat it in its early stages. Using the Internet of Things (IoT) and automated …

Background and objectives The traditional pain measures are qualitative and inaccurate.
Therefore, electroencephalography (EEG) signals have been recently used and analyzed to …

Currently, pain assessment using electroencephalogram signals and machine learning
methods in clinical studies is of great importance, especially for those who cannot express …

After a crime scene, accurate gender recognition by fingerprint analysis is vital for detectives
because precise gender recognition highly limits the search space. For extracting high …

Wearable electroencephalogram (EEG) devices have shown great potential in enabling real-
time monitoring of subtle changes in brain activity, providing new possibilities for the …

In this study, a novel approach for feature selection has been presented in order to
overcome the challenge of classifying positive and negative risk prediction in the …