Drug Automation Information Analysis System Applied in Hippocampus of Rats

Project Overview The pituitary gland, the conductor of our body’s hormonal orchestra, plays a crucial role in regulating various systems. However, tumors can disrupt this delicate balance, leading to a cascade of health problems. To achieve early detection and treatment, medical advancements often bridge the gap between medicine and technology. This project exemplifies synergy by…

Project Overview In today’s society with diverse challenges, exploring solutions through Artificial Intelligence (AI) technology has become a global trend. However, classroom learning often lacks context and real-world application. This project addresses this by leveraging the Sustainable Development Goals (SDGs) framework. Students explore datasets related to the SDGs and apply data mining techniques to develop…

Project Overview With the mature development of the Internet and virtual communities, how to accurately analyze potential and future development trends from the massive document data of online communities will be an important emerging topic in the field of humanities and social sciences. Therefore, in the first year of this project, we hope to use…

Project Overview This project aims to integrate cross-school resources in Taiwan to: (1) Develop mobile broadband teaching capacity: Enhance education capabilities through resource sharing and collaboration, empowering schools to prepare future generations for success in this field. (2) Build a teaching practice and application verification platform: Establish a robust platform for hands-on learning and real-world testing, bridging the gap…

Project Overview Endometriosis is a common gynecological disease. According to different diagnostic criteria, endometriosis is found in many women of reproductive age and often occurs in women after menopause. Most of these women have abdominal pain symptoms, and endometriosis is one of the causes of their symptoms and pain. In addition, because the incidence of…

Project Overview This research project is divided into three phases. In the first year, a fast and effective system will be developed based on machine learning models to detect malicious Android apps. In the second year, the knowledge representation characteristics of the system will be used to effectively outline the unchangeable behavior features of mobile…