CTBT: Science and Technology Conference 2025 - SnT2025

How AI Applications in IMS and Weather-Driven Data Integration Can Improve Detection, Categorization and Prediction and Model Creation?

P3.4-411

11 Sept 2025, 10:00

1h

Zeremoniensaal

Board: 6

E-poster T3.4 Integrating Data from Different Monitoring Technologies P3.4 Integrating Data from Different Monitoring Technologies

Speaker

Ms Saoussen souayeh (data scientist)

Description

AI is not just a story, it is a key of interest across various areas.
Often, greater efficiency and added value outcomes are achieved by integrating different fields.
Integrating AI with the International Monitoring System and driven data would significantly improve the event detection and categorization process and generate accurate and insightful models for event prediction and anomaly resolution.
This synergy is of great interest and inspires researchers and scientists to address many challenges and breakthroughs across various fields, and this would feed machine-learning algorithms to refine event localization, minimize noise, create powerful predictive models and increase versatility with a diverse range of patterns.