Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series

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The upcoming Square Kilometre Array Observatory will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as ...

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Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series

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Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Impact of anthropogenic emission control in reducing future PM2.5 concentrations and the related oxidative potential across different regions of China

Incorporating Projective Geometry into Deep Learning

Regional uniqueness of tree species composition and response to forest loss and climate change

Lotic-SIPCO2: Adaptation of an open-source CO2 sensor system and examination of associated emission uncertainties across a range of stream sizes and land uses

Understanding generalization and robustness in modern deep learning

Renewable energy integration and waste heat valorization in aluminum remelting for co-producing kerosene and methanol

Robust machine learning for neuroscientific inference

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

At what spatial scale does natural selection operate? Using multiscale frameworks to calibrate the effects of environmental factors across landscape continuums

Machine Learning for Modeling Stock Returns

Meta-learning to address diverse Earth observation problems across resolutions

Random matrix methods for high-dimensional machine learning models