Abstract: The paper investigated the advantage of high density airborne LiDAR data for improving species classification of individual tree. The investigation is comprised of two stages, feature ...
incorporating a search-tree context to modulate branching aids generalization (with better test accuracy and smaller B&B trees); the GCNN paradigm alone (Gasse et al. 2019) does not allow to ...
AccuSNV is a computational tool designed to identify single nucleotide variants (SNVs) in short-read whole genome sequencing (WGS) data from bacterial isolates. By leveraging deep learning, it ...
Abstract: The digital close range photogrammetry (DCRP) approach has been used for tree's age estimation from its photographs with image analysis. Age of a tree can be determined using diameter or ...
The joy of a cut Christmas tree is fleeting. All the festive fun is front-loaded: picking out the perfect specimen, bedazzling its boughs with lights and meaningful ornaments, and gathering around it ...
Genomes are mosaics of evolutionary histories, and over time, regions of shared history shrink due to recombination. We typically observe frequent changes in evolutionary trees across the genome, ...
Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it to make predictions and save it for use by other programs. This is the second of two articles ...
Trees are fundamental for Earth’s biodiversity as primary producers and ecosystem engineers and are responsible for many of nature’s contributions to people. Yet, many tree species at present are ...
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