We developed a low‑cost, high‑precision monocular visual ranging system based on the You Only Look Once version 5 (YOLOv5) object detection algorithm, addressing the limitations of traditiona ... Read More

A wireless sensor network design is tailored for the structural health monitoring of large-scale civil infrastructure in this study. To address the challenge of power management in remote deploym ... Read More

In this study, we aimed to design and simulate a cost-effective and structurally simple dual-axis solar tracking mechanism. A crucial aspect of the research was to ensure the system’s robustnes ... Read More

In this study, we developed an IoT-enhanced fuzzy-creative quadrant evaluation framework that integrates fuzzy theory with the creative quadrant method to systematically assess the cultural and c ... Read More

As science communication increasingly transitions from traditional text-based formats to multimedia content, short videos have emerged as a dominant form, particularly on IoT-enabled platforms th ... Read More

In the current era of digital transformation, enterprises are increasingly reliant on intellectual capital and collaborative efficiency. Traditional human resource management systems (HRMSs) are ... Read More

The evaluation of tourism efficiency is crucial for regional economic development. However, conventional methods rely on low-dimensional statistical data that fail to capture the industry’s com ... Read More

We developed an IoT and machine learning (ML) system to predict injuries and monitor performance in athletes by integrating advanced sensor technology. IoT devices, including chest straps with he ... Read More

The rapid expansion of IoT deployments has intensified the need for efficient real-time sensor data aggregation. Conventional cloud-centric methods suffer from high latency and bandwidth limitati ... Read More

Small object detection plays a critical role in applications such as security surveillance, autonomous driving, and remote sensing. However, conventional detection methods often struggle with hig ... Read More

Deploying deep learning models for antenna gain prediction on IoT sensing nodes and edge gateways poses significant challenges due to severe constraints on memory, computation, and power. In sens ... Read More