Outbreaks of infectious diseases have caused tremendous human suffering and incalculable economic losses, and infectious diseases are a global public health problem that threatens human society. Therefore, it is necessary to model the spatial and ...

The purpose of this study is to explore content creator preferences in broadcast media, with a specific focus on the impact of integrating 3D graphics to enhance viewer engagement. In this study, we investigated the integration of 3D technology in ...

This study carried out work that investigates the relationships that exist between the facts of Visual Attention (VA), demographic influences, and the perceived landscape values collected from the historic and cultural districts by means of ...

Sequential recommendation aims to recommend the next item for a user to interact with by analyzing the user’s historical interaction sequences. Recent studies have utilized attribute information to enhance the performance of recommendation ...

Recently, a popular query-based end-to-end framework has been used for instance segmentation. However, queries update based on individual layers or scales of feature maps at each stage of Transformer decoding, which makes queries unable to gather ...${}_{\mathrm{}}$

Remote sensing imagery is indispensable in diverse domains, including geographic information systems, climate monitoring, agricultural planning, and disaster management. Nonetheless, cloud cover can drastically degrade the utility and quality of ...

Most multimodal recommender systems utilize multimodal content of user-interacted items as supplemental information to capture user preferences based on historical interactions without considering user-uninteracted items. In contrast, multimodal ...

The diversity and dynamics of quality index information bring challenges to quality assessment of experience products. This paper proposes a three-stage quality assessment method based on grounded theory, association analysis, combined weighting, ...

Human activity recognition (HAR) with wearable inertial sensors is a burgeoning field, propelled by advances in sensor technology. Deep learning methods for HAR have notably enhanced recognition accuracy in recent years. Nonetheless, the ...

Graph Neural Networks (GNNs) have been successfully adopted in recommender systems by virtue of the message-passing that implicitly captures collaborative effect. However, in practical recommendation scenarios, user-item interaction data is often ...

Distinct from the realm of perceived emotion research, induced emotion pertains to the emotional responses engendered within content consumers. This facet has garnered considerable attention and finds extensive application in the analysis of ...

Online social networks are social interaction platforms having dynamic nature with billions of users around the world. Online social communications among its multiple users cause a huge chunk of information which provides an opportunity to study ...

This paper presents a study on modelling user free walk mobility in virtual reality (VR) art exhibition. The main objective is to investigate and model users’ mobility sequences during interactions with artwork in VR. We employ a range of machine ...

Seismic Data (SD) have been for several decades used as one of the main inspection and exploration tools in various fields, particularly petroleum industry and geoscience. However, seismic datasets are huge and involve many terabytes, whose ...

Facial expression intensity estimation has promising applications in health care and affective computing, such as monitoring patients’ pain feelings. However, labeling facial expression intensity is a specialized and time-consuming task. Ordinal ...

Eye-tracking and head-tracking techniques have been applied in many fields, including human–computer interaction, gaming, virtual reality (VR), and the medical. In these applications, users must wear special hardware devices such as eye trackers ...

The aim of this work is to present an adaptive serious game based on virtual reality (VR) for functional rehabilitation of the hand after stroke. The game focuses on simulating the palmar grasping exercise commonly used in clinical settings. The ...

Gait recognition is an efficient way of identifying people from their walking behavior, using inertial sensors integrated into the smartphones. These inertial sensors such as accelerometers and gyroscopes easily collect the gait data used by the ...

This study investigates how we can provide a database map model for full-body gestures by utilizing the hierarchical nested set model and its features to cover all aspects of existing gestures and motions. A mapping model allows us to execute any ...