Human activity recognition (HAR) remains an essential field of research with increasing real-
world applications ranging from healthcare to industrial environments. As the volume of …

Video-based human activity recognition (HAR) is an important task in many fields, such as
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …

Human-human interaction recognition is crucial in computer vision fields like surveillance,
human-computer interaction, and social robotics. It enhances systems' ability to interpret and …

In the fields of body-worn sensors and computer vision, current research is being done to
track and detect falls and activities of daily living using the automatic recognition of human …

Computed tomography (CT) is used in a wide range of medical imaging diagnoses.
However, the reconstruction of CT images from raw projection data is inherently complex …

Abstract Semi-supervised Graph Neural Networks (GNNs), as an effective data
representation learning framework, have been applied to hyperspectral image (HSI) …

Liver cancer affects both men and women globally. Computed tomography (CT) imaging is a
commonly employed modality for diagnosing and monitoring patients with hepatic …

Human-human interaction recognition is crucial in computer vision fields like surveillance,
human-computer interaction, and social robotics. It enhances systems' ability to interpret and …

In the field of computer vision and pattern recognition, knowledge based on images of
human activity has gained popularity as a research topic. Activity recognition is the process …

The classification methods for hyperspectral images (HSI) based on decision trees and
convolutional neural networks have shown increasing advantages, but these methods often …