A5079985004- Software Engineering Research
- Software Engineering Techniques and Practices
- Artificial Intelligence in Healthcare and Education
- Advanced Malware Detection Techniques
- Dark Matter and Cosmic Phenomena
- Open Source Software Innovations
- Particle physics theoretical and experimental studies
- Software Testing and Debugging Techniques
- Big Data and Business Intelligence
- Customer churn and segmentation
- Cardiac, Anesthesia and Surgical Outcomes
- Particle Detector Development and Performance
- Advanced X-ray and CT Imaging
The University of Notre Dame Australia
2025
Zhejiang University
2024
For the field of high energy physics to continue have a bright future, priority within must be given investments in development both evolutionary and transformational detector that is coordinated across national laboratories with university community, international partners other disciplines. While fundamental science questions addressed by never been more compelling, there acute awareness challenging budgetary technical constraints when scaling current technologies. Furthermore, many...
Python has become one of the most popular programming languages for software development due to its simplicity, readability, and versatility. As ecosystem grows, developers face increasing challenges in avoiding module conflicts, which occur when different packages have same namespace modules. Unfortunately, existing work neither investigated conflict comprehensively nor provided tools detect conflict. Therefore, this paper systematically investigates problem impact on ecosystem. We propose...
Python has become one of the most popular programming languages for software development due to its simplicity, readability, and versatility. As ecosystem grows, developers face increasing challenges in avoiding module conflicts, which occur when different packages have same namespace modules. Unfortunately, existing work neither investigated conflict comprehensively nor provided tools detect conflict. Therefore, this paper systematically investigates problem impact on ecosystem. We propose...
With the ongoing economic growth and rise of new companies, customer churn has become a renewed focus for many businesses, particularly in telecommunications SaaS sectors. Accurately identifying lost customers using artificial intelligence technology is crucial helping companies develop effective strategies to retain these valuable clients. This paper provides comprehensive overview recent research on application various machine learning models, including logistic regression, random forests,...