Researchers at Sweden's Uppsala University have applied deep machine learning to automatically identify photovoltaic and solar-thermal systems in aerial imagery and said their work yielded mixed ...

Last year's Camp Fire in California was devastating. California’s hillsides are still green, thanks to a surplus of rain in the past few months, but the state is already exhorting homeowners to build ...

An international research team has developed a novel PV fault detection method based on deep learning of aerial images. The proposed methodology utilizes the convolutional neural network (CNN) ...

If you liked this story, share it with other people. Scientists have combined passive acoustic monitoring, machine-learning tools and aerial surveys to estimate the population of North Atlantic right ...

Researchers employed generative adversarial networks to more accurately construct datasets for aerial images of building that are obscured by clouds. This work may lead to improved image recognition ...