Conventionally, the extraction of hand-crafted acoustic features has been separated from the
task of establishing robust machine-learning models in speech processing. The manual …

Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …

The movement of eyeballs and eye blinks produces ocular artifacts in the
electroencephalogram (EEG) signal during recording. It is necessary to filter out these …

Context Epilepsy, characterized by recurrent seizures, is a chronic brain disease that affects
approximately 50 million. Recurrent seizures characterize it. A seizure, a burst of …

Automatic segmentation is a difficult task due to the enormous amount of information offered
by the Magnetic Resonance Imaging (MRI) and the variation in tumor's location, the shape …

Major depression disorder (MDD) has become the leading mental disorder worldwide.
Medical reports have shown that people with depression exhibit abnormal wave patterns in …

Structural analysis is crucial for airfield pavement evaluation and plays a critical role in
ensuring airfield operation safety and efficiency. Traditionally, the evaluation has relied on …

As a fundamental construction material, concrete commonly encounter void defects, which
could significantly impair the integrity of concrete members and seriously weaken their load …

The letter presents a novel approach for analyzing a multi-sensor EEG signal with the aim of
accurately identifying the emotional state of individuals. Identifying multiple classes of …

Nuclei segmentation, a critical task in cancer diagnosis, presents substantial challenges in
histopathological image analysis due to the labor-intensive and time-consuming nature of …