5 citations · 10 across the 5 of their papers we have counts for
5 papers
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation
Benjamin Hawks, Jason Weitz, Dmitri Demler +13
As machine learning (ML) is increasingly implemented in hardware to address real-time challenges in scientific applications, the development of advanced toolchains has significantl…
Statistical Study of the Correlation between Solar Energetic Particles and Properties of Active Regions
Russell D. Marroquin, Viacheslav Sadykov, Alexander Kosovichev +9
The flux of energetic particles originating from the Sun fluctuates during the solar cycles. It depends on the number and properties of Active Regions (ARs) present in a single day…
The Random Hivemind: An Ensemble Deep Learner Application to Solar Energetic Particle Prediction Problem
Patrick M. O'Keefe, Viacheslav Sadykov, Alexander Kosovichev +8
The application of machine learning and deep learning, including the wide use of non-ensemble, conventional neural networks (CoNN), for predicting various phenomena has become very…
Predicting Solar Proton Events of Solar Cycles 22-24 using GOES Proton & soft X-Ray flux features
Aatiya Ali, Viacheslav Sadykov, Alexander Kosovichev +9
Solar Energetic Particle (SEP) events and their major subclass, Solar Proton Events (SPEs), can have unfavorable consequences on numerous aspects of life and technology, making the…