In this study, we developed a data-driven method to optimize thin-film processes in semiconductor manufacturing by integrating chemical vapor deposition with machine learning. By analyzing 91 pro ... Read More

Mental health disorders are a growing global concern, yet traditional diagnostic methods remain largely subjective and episodic, failing to account for real-time fluctuations in a patient’s con ... Read More

Intangible cultural heritages (ICHs) have been affected by globalization and modernization, requiring innovative preservation and transmission methods. In this study, we investigated how to integ ... Read More

The process parameters for gravity casting bearing seats in wind turbines are optimized using a multi-objective optimization framework that combines casting process numerical simulation, response ... Read More

The application of the deep-learning-based You Only Look Once (YOLO) network model for identifying teaching and learning behaviors in classrooms has attracted attention in recent studies. However ... Read More

In this paper, a time-varying sliding mode control (SMC) strategy and an adaptive enhancement of SMC to achieve state synchronization in unified chaotic systems are presented. A dedicated sliding ... Read More

As the global population over 60 years old is projected to reach 1.4 billion by 2030, traditional labor-intensive care models will concurrently become economically unsustainable. To reduce elderl ... Read More

Rolling bearings are essential components in rotating machinery. Harsh operating conditions frequently lead to the structural failure of bearings caused by mechanical vibration. While advanced vi ... Read More

Cross-linked polyethylene (XLPE) cables are essential in modern power distribution, yet insulation defects such as localized aging, moisture ingress, and sheath damage threaten grid reliability. ... Read More

This study was carried out to validate a software-defined sensing (SDS) architecture that combines AI-vision-enabled image sensors with a deep learning model to replace traditional hardware senso ... Read More

As pet care systems evolve from simple identification tags into sophisticated IoT-enabled networks, current near-field communication (NFC) microchip-based pet care systems face challenges related ... Read More

We investigated the thermomechanical coupling and stress–strain distribution of ultrahigh‑strength 22MnB5 steel during hot stamping using a non‑isothermal simulation method that accounts fo ... Read More

With the rapid development of the Internet of Things and intelligent sensing technology, sensor array systems have been widely applied in various fields. However, traditional methods struggle to ... Read More

To resolve the contradictions in edge computing for technology services, such as a long resource scheduling time, an uneven load distribution, and the conflict between the limited resources of ed ... Read More

In this study, we investigate how the performance of sensor-enabled IoT smart guiding systems in heritage village tourism environments translates into tourists’ revisit intention (RV) through p ... Read More