In this study, the authors investigated the smart polymer-dispersed liquid crystal (PDLC) window film as an innovative building envelope technology supporting Taiwan’s 2050 Net-Zero Emissions P ... Read More

Automated optical inspection (AOI) systems empowered by deep learning are increasingly deployed in smart manufacturing, yet their performance remains vulnerable to real-world imaging distortions ... Read More

Agriculture and animal husbandry form the backbone of a country, and the global shortage of food and meat products has intensified efforts to increase agricultural production and livestock farmin ... Read More

In this study, we introduced an augmented reality and deep-learning-based system for the digital preservation and interactive learning of traditional embroidery skills. Recognizing the vulnerabil ... Read More

Smart cities have been developed by integrating IoT networks that generate huge data from heterogeneous sources, including environmental sensors, surveillance systems, and utility meters. Process ... Read More

Sustainable forest management faces challenges owing to climate change and biodiversity loss, necessitating the adoption of advanced real-time monitoring technologies. In this study, we evaluate ... Read More

To investigate the current status of sensor- and IoT-enabled internet medical service utilization and its influencing factors among elderly patients with chronic diseases, in this study, we aim t ... Read More

In this study, we propose an integrated evaluation framework for mobile cooling products by combining environmental sensing, the analytic hierarchy process (AHP), and a fuzzy technique for order ... Read More

Product usability is linked to how design elements align with human cognitive processes. We investigated the cognitive-behavioral responses to kitchen cabinet interfaces by integrating Norman’s ... Read More

We developed and validated a sensor-integrated multidimensional evaluation framework for discipline construction in a large tertiary public hospital using longitudinal data from 2018 to 2023. The ... Read More

Parallel robots are governed by closed-loop kinematic constraints and strongly coupled nonlinear dynamics, which limit the transferability of purely analytical model-based fault diagnosis methods ... Read More

Intravenous (IV) infusion remains one of the most widely performed clinical procedures; however, routine infusion monitoring still relies predominantly on manual inspection by nursing staff. Such ... Read More