3 papers
eess.SY2023
Data-based optimal estimation of frequency bias: The case of Southwest Power Pool
Miroslav Kosanic, Marija Ilic, Daniel Baker +2
In this paper, we introduce a method to optimally estimate time-varying frequency bias. Current industry practice is to assume that frequency bias is changing only on annual basis.…
cs.LG2021
A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration
Miroslav Kosanic, Veljko Milutinovic
This paper reviews the most notable works applying machine learning techniques (ML) in the context of geophysics and corresponding subbranches. We showcase both the progress achiev…
cs.DC2020
The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chip, for Scientific Computing, Geo Physics, Complex Mathematics, and Information Processing
Veljko Milutinovic, Erfan Sadeqi Azer, Kristy Yoshimoto +17
This article starts from the assumption that near future 100BTransistor SuperComputers-on-a-Chip will include N big multi-core processors, 1000N small many-core processors, a TPU-l…