CNN is inspired from Primary Visual (V1) neurons. It is a typical deep learning technique
and can help teach machine how to see and identify objects. In the most recent decade …

Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …

Frequent epileptic seizures cause damage to the human brain, resulting in memory
impairment, mental decline, and so on. Therefore, it is important to detect epileptic seizures …

Emotion is the human brain reacting to objective things. In real life, human emotions are
complex and changeable, so research into emotion recognition is of great significance in …

Correlated traffic data refers to a collection of time series recorded simultaneously in
different regions throughout the same transportation network route. Due to the presence of …

Federated learning (FL) is a privacy-preserving paradigm that collaboratively train machine
learning models with distributed data stored in different silos without exposing sensitive …

Feature selection is a crucial preprocessing step in the sphere of machine learning and data
mining, devoted to reducing the data dimensionality to improve the performance of learning …

Deep learning has a huge potential to transform echocardiography in clinical practice and
point of care ultrasound testing by providing real-time analysis of cardiac structure and …

The music style classification technology can add style tags to music based on the content.
When it comes to researching and implementing aspects like efficient organization …

It is still a challenging problem to characterize uncertainty and imprecision between specific
(singleton) clusters with arbitrary shapes and sizes. In order to solve such a problem, we …