no code implementations • 22 Oct 2022 • Akansha Singh Bansal, Yoonjin Lee, Kyle Hilburn, Imme Ebert-Uphoff
Then we provide an overview of many different concepts and techniques that are helpful for the interpretation of meteorological image sequences, such as (1) feature engineering methods to strengthen the desired signal in the input, using meteorological knowledge, classic image processing, harmonic analysis and topological data analysis (2) explain how different convolution filters (2D/3D/LSTM-convolution) can be utilized strategically in convolutional neural network architectures to find patterns in both space and time (3) discuss the powerful new concept of 'attention' in neural networks and the powerful abilities it brings to the interpretation of image sequences (4) briefly survey strategies from unsupervised, self-supervised and transfer learning to reduce the need for large labeled datasets.
no code implementations • 28 Dec 2021 • Akansha Singh Bansal, Trapit Bansal, David Irwin
Solar energy is now the cheapest form of electricity in history.