At present, the sensory evaluation of food mostly depends on artificial sensory evaluation
and machine perception, but artificial sensory evaluation is greatly interfered with by …

In the field of Brain Computer Interface (BCI), applications in real life like emotion recognition
from recorded electrical activity from brain have become famous topic of research …

Neuroscience has made astonishing advancements in understanding the human brain with
the help of Brain-Computer Interface. Recent contributions in the field of Artificial Intelligence …

The majority of conventional alcohol detection approaches are based on traditional machine
learning approaches and are unable to retrieve the deeply hidden attributes of alcohol …

In last few decades, reading the human mind is an innovative topic in scientific research.
Recent studies in neuroscience indicate that it is possible to decode the signals of the …

The widespread availability of digitized fine art collections in museums and galleries has
generated a demand for efficient software tools. These tools enable rapid retrieval and …

Machine learning algorithms have revolutionized different fields, including natural language
processing, computer vision, signal processing, and medical data processing. Despite the …

Physiological signals, as crucial indicators for measuring physical health, must be acquired
by model learning, but the modeling and analysis performance is strongly affected by …

Gas–liquid two-phase flow is polymorphic and unstable, and characterizing its flow behavior
is a major challenge in the study of multiphase flow. We first conduct dynamic experiments …

A brain-computer interface (BCI) is a way for humans and machines to communicate directly.
It has been used in many successful ways over the last few decades. A wide variety of fields …