YESWORKFLOW: A USER-ORIENTED, LANGUAGE-INDEPENDENT TOOL FOR RECOVERING WORKFLOW INFORMATION FROM SCRIPTS


Automatic Building Extraction on High-Resolution Remote Sensing Imagery Using Deep Convolutional Encoder-Decoder With Spatial Pyramid Pooling

Automatic extraction of buildings from remote sensing imagery plays a significant role in many applications, such as urban planning and monitoring changes to land cover.Various building segmentation methods have been proposed for visible remote sensing images, especially state-of-the-art methods based on convolutional neural networks (CNNs).However

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Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types

Vegetation biomass is a Bike Parts - BMX - Frames globally important climate-relevant terrestrial carbon pool and also drives local hydrological systems via evapotranspiration.Vegetation biomass of individual vegetation types has been successfully estimated from active and passive remote sensing data.However, for many tasks, landscape-level biomass

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Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings

Abstract Background Current approaches to identifying drug-drug interactions (DDIs), include safety studies during drug development and post-marketing surveillance after approval, offer important opportunities to identify potential safety issues, but are unable to provide complete set of all possible DDIs.Thus, the drug discovery researchers and he

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