2026-08-07T17:31:52.111Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:12130 2026-08-02T22:48:16Z 1

Artificial Intelligence-based Dashboard for Radiation Level Monitoring and Analysis Prototype 2026 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/12130 https://portal.sinteza.singidunum.ac.rs/paper/1094 K. Raković T. Živković M. Živković A. Petrović This paper presents a prototype system for monitoring and analysing radiation levels using machine learning techniques. The system is designed as a web-based application that enables visualization of radiation data and detection of anomalies in time-series data. The proposed solution includes an interactive dashboard, anomaly detection module, and data management functionalities. The main goal of this work is to demonstrate how machine learning and data visualization can be applied to create an early warning system for abnormal radiation levels. conferenceObject 53 59 10.15308/Sinteza-2026-53-59 Sinteza 2026 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Serbia