Chun-Ho Wu

TL;DR: A blockchain–IoT-based food traceability system (BIFTS) is proposed to integrate the novel deployment of blockchain, IoT technology, and fuzzy logic into a total traceability shelf life management system for managing perishable food.

TL;DR: In this article, the authors explored several key factors in the research framework related to learning motivation, learning readiness and student's self-efficacy in participating in live online learning during the coronavirus outbreak, taking into account gender differences and differences among sub-degree (SD), undergraduate (UG) and postgraduate (PG) students.

TL;DR: IoTRMS is proposed to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques and can be effectively established, resulting in secure product quality and appropriate occupational safety management.

TL;DR: This paper proposes a cell classification algorithm that combines Inception v3 and artificial features, which effectively improves the accuracy of cervical cell recognition, and inherits the strong learning ability from transfer learning, and achieves accurate and effective cervical cell image classification based on the Herlev dataset.

TL;DR: Experimental results showed that after studying with the support of the MR technology, the students’ abilities in geometric analysis and creativity were significantly improved and their ability in model visualization was also significantly better than the control group.