The Human Activity Recognition (HAR) system is the hottest research area in clinical
research. The HAR plays a vital role in learning about a patient's abnormal activities; based …

Epilepsy is one of the most debilitating neurological diseases that abruptly alters a person's
way of life. Manual diagnosis is a laborious and time-consuming task prone to human error …

Epilepsy is a neurological condition characterized by temporary disruptions in the brain's
electrical activity. This disorder can significantly impact the quality of life for those affected …

Increasing attention is being given to machine learning methods designed to aid clinicians
in treatment selection. Therefore, this has aroused a heightened focus on the auto-detect …

In this paper, we introduce an improved multivariate statistical monitoring method based on
the stacked sparse autoencoder (SSAE). Our contribution focuses on the choice of the SSAE …

there are numerous distinct strategies and techniques that fall under the huge class of
neural network-primarily based deep gaining knowledge of in device getting to know. those …

The term improve human seizure detection refers to the creation and application of cutting-
edge, reliable, and effective techniques, technologies, or systems that improve the capacity …