Journal of Pediatrics and Child Health

Enea Vincenzo Napolitano is a Ph.D. candidate in Information Technology and Electrical Engineering at the University of Naples Federico II. His research focuses on the application of machine learning and data science to healthcare and biomedical domains, particularly in pediatric settings. He has co-authored numerous peer-reviewed studies addressing early prediction of functional gastrointestinal disorders in infants and toddlers. His experience spans data science roles across industry and public institutions, where he contributed to predictive modeling, anomaly detection, and AI-driven platforms. He also served as a Ph.D. visiting student at the University of Houston. His editorial interests include digital health, pediatric epidemiology, and ethical AI applications.

• Pediatric Epidemiology
• Digital Health
• Healthcare Data Science

1.  Functional gastrointestinal disorders predictors in neonates and toddlers: A machine learning approach to risk assessment – 2025

2.  An effective measure for evaluating the environmental impact of AI tasks – 2025

3.  Assessing awareness of environmental sustainability in machine learning research – 2025

4.  Enhancing Employee Health Through an Experimental Diet: Insights from Machine Learning Analysis – 2025

5.  Optimizing Transitive Closure Computation for High Performance Computing and Security – 2025

6.  Sustainability and High Performance Computing – 2025

7.  Machine Learning for public transportation demand prediction: A Systematic Literature Review – 2024

8.  Environmental Sustainability of AI: Estimating Emissions Across Cloud, Edge, and Fog Paradigms – 2024

9.  Integrating Flow and Structure in Diagrams for Data Science – 2024

10. The Environmental Cost of High Performance Computing System Simulation – 2024

11. Infantile Predictors of Functional Gastrointestinal Disorders: A Machine Learning Approach to Risk Assessment – 2024

12. Machine Learning for KPI Development in Public Administration – 2024

13. Drive BELT: A Strategic Decision-Making Tool for Optimizing Naval and Rail Freight Logistics – 2024

14. AI in Medicine: Activities of the CINI-AIIS Lab at University of Naples Federico II – 2024

15. Introducing AI-Based Techniques in the Justice Sector: A Proposal for Digital Transformation of Court Offices – 2023

16. Trajectory Mining for Smart Cities: A Focus on Indoor Localization using 5G Technology – 2023

17. A Joint Analysis of Trajectory Mining and Process Mining for Smartphone User Behaviour – 2023

18. Can the Study of Trajectories Help to Extract Information from Business Processes? – 2023

19. How Pandemic Affected the Adoption of e-Health System – 2023

20. Dossier classification to support workflow management optimization – 2023

21. Digital Twins for Traffic Congestion in Smart Cities: A Novel Solution Using Data Mining Techniques – 2023

22. Evolving Justice Sector: An Innovative Proposal for Introducing AI-Based Techniques in Court Offices – 2023

23. Intelligent technologies for urban progress: exploring the role of AI and advanced telecommunications in smart city evolution – 2023

24. Covid-19 impact on health information technology: the rapid rise of e-Health and Big Data driven innovation of healthcare processes – 2022