The multi-layer structures of Deep Learning facilitate the processing of higher-level
abstractions from data, thus leading to improved generalization and widespread …

Artificial intelligence (AI) and machine learning (ML) are employed to make systems smarter.
Today, the speech emotion recognition (SER) system evaluates the emotional state of the …

Abstract Infrared-Thermal Imaging is a non-contact mechanism for psychophysiological
research and application in Human–Computer Interaction (HCI). Real-time detection of the …

The Android operating system has gained popularity and evolved rapidly since the previous
decade. Traditional approaches such as static and dynamic malware identification …

Object detection plays a vital role in the fields of computer vision, machine learning, and
artificial intelligence applications (such as FUSE‐AI (E‐healthcare MRI scan), face detection …

The freeway accident detection and classification have attracted much attention of
researchers in the past decades. With the popularity of Global Navigation Satellite System …

Computer-Aided diagnosis (CAD) is a widely used technique to detect and diagnose
diseases like tumors, cancers, edemas, etc. Several critical retinal diseases like diabetic …

Emotion recognition (ER) in healthcare has drawn substantial attention owing to recent
advancements in machine-learning (ML) and deep-learning (DL) techniques. The ER …

Emotion recognition from speech data is an active and emerging area of research that plays
an important role in numerous applications, such as robotics, virtual reality, behavior …

This study introduces a novel matrix determinant feature extraction approach for efficient
classification of motor and mental imagery activities from electroencephalography (EEG) …