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 ...

The detection of solar photovoltaic (PV) panels using aerial imagery and deep learning has emerged as a critical field in renewable energy research. Recent advancements in computer vision and machine ...

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) ...

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 ...

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 ...