Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...

Targeted marketing and personalization have evolved dramatically in the last decade. Engaging an audience overwhelmed by the internet’s content farm requires meeting fans where they are, speaking ...

Semantic segmentation is a fundamental but challenging problem of pixel-level remote sensing (RS) data analysis. Semantic segmentation tasks based on aerial and satellite images play an important role ...

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Why is user segmentation important? User segmentation is important because it enables you to understand your app’s audience better. By breaking down your users into cohorts, you can identify their ...

Abstract: The National Renewable Energy Laboratory (NREL) Python panel-segmentation package is a toolkit that automates the process of extracting accurate and valuable metadata related to solar array ...