In recent years, graph neural networks (GNNs) have been successfully applied in many
fields due to their characteristics of neighborhood aggregation and have achieved state-of …

Computer Vision (CV) has become increasingly important for Single-Board Computers
(SBCs) due to their widespread deployment in addressing real-world problems. Specifically …

Although object detection is essential for recognizing hazardous situations in construction
sites where various objects coexist, existing systems fail to ensure real-time accuracy and …

Little research has examined the association between general figure closure speed, a
stratum I ability within the Cattell-Horn-Carroll (CHC) model of intelligence, and face-specific …

Facial expression recognition (FER) is crucial in enhancing human-computer interaction.
While current FER methods, leveraging various open-source deep learning models and …

In the ore beneficiation process, large block detection is necessary to ensure production
safety. This typically involves identifying oversized ore on the conveyor belt and preventing …

Breast cancer is globally known to be a major health concern that necessitates
advancements in detection and classification methods. This study introduces a machine …

Vehicular Ad-hoc Networks (VANETs) have become an effective network model for ensuring
driver, road, and vehicle safety. These networks allow for vehicle-to-vehicle and vehicle-to …

This study aims to quantify the moderating influence of competitive advantage between IT
infrastructure and business intelligence on bank performance. The results demonstrated …

The advent and advancement of IT have transformed HRM departments, rendering
traditional paperwork and file management obsolete (Vanishree & Raghavendra, 2017; …