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Displaying
32
contributions
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32
AfriTEC: A neural network based model of the African regional ionospheric Total Electron Content
Session:
Daniel_OKOH.pdf
Characterizing the Meteoroid Environment
Session:
Diego_JANCHES.pdf
Classification of interplanetary structures near Earth and their impact on space weather conditions
Session:
Classifying Radio Wave Distortions
Session:
Clustering of ROTI maps for ionospheric irregularities geolocation
Session:
Yenca_MIGOYA.pdf
Deep Learning fundamentals
Session:
Maria_Graciela_MOLINA.pdf
Developing Space Weather Indices for Latin America: Magnetic and Ionospheric Scales
Session:
Event Closure
Session:
ICTP_Machine_Learning_for_Space_Weather.pdf
Hands-on Session
Session:
Hands-on Session
Session:
Jorge_NAMOUR.pdf
Hands-on Session
Session:
Hands-on session
Session:
Hands-on session
Session:
ICG Development and its Activities”
Session:
Sharafat_GADIMOVA.pdf
Introduction to Bayesian stats, with Python & PyMC
Session:
Alexadre_ANDORRA.pdf
Ionosphere forecasting for space weather using deep learning
Session:
Ionosphere variations
Session:
Sandro_Maria_RADICELLA.pdf
Machine Learning Fundamentals
Session:
Maria_Graciela_MOLINA.pdf
Machine Learning for the Physical Sciences: Importance of Explainability and Ethical Data Use
Session:
Natural Language AI for Forecasting Ionosphere by Analogy: Concept Study
Session:
Ivan_GALKIN.pdf
On performance assessment of machine learning-based GNSS ionospheric delay correction model based on space weather predictors in immediate positioning environment
Session:
Renato_FILJAR.pdf
Participants Presentations
Session:
Jose'_Paulo_MARCHEZI.pdf
REGISTRATION
Session:
Software Development for Machine Learning
Session:
Pablo_ALCAIN.pdf
Specification and forecasting ionospheric total electron content (TEC) using advanced statistical and machine leaning methods
Session:
State of the art and open challenges of Machine Learning in Space weather
Session:
Enrico_CAMPOREALE.pdf
The Role of Sun in Space Weather
Session:
Nat_GOPALSWAMY.pdf
Tools for tracking code, data and metrics in ML environment
Session:
Toward automatic detection of travelling ionospheric disturbances (TIDs) of different origins in near-real-time
Session:
Transferable Lessons Learnt at the Interface of AI and NanoBio Technology
Session:
Using Clustering Techniques to Classify Secondary Particle Contributions in Water Cherenkov Detectors of the LAGO Collaboration
Session:
Welcome and Opening Remarks
Session:
Yenca_MIGOYA.pdf
Organizers
Sharafat Gadimova (UNOOSA - ICG), Keith Groves (Boston College), Yenca Migoya Orué (ICTP), María Graciela Molina (FACET-UNT / CONICET), ICTP Scientific Contact: Bruno Nava (ICTP)
Co-sponsors