Network security has always been the focus of Internet research. In order to better detect these attacks, it is necessary to more accurately evaluate the state performance of the network. The existing ...
This package provides a Python implementation of the Fractional Vegetation Cover (FVC) algorithm described by Carlson & Ripley (1997). It converts NDVI (Normalized Difference Vegetation Index) data to ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy ...
Blockchain is a promising solution for secure data sharing in the Internet of Things (IoT) networks, but existing systems ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Researchers have developed a new computational approach that uncovers possible drugs for specific cellular targets for treating glioblastoma, a lethal brain tumor. This approach enabled them to ...
ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...
Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...
If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.
This package provides a Python implementation of the Leaf Area Index (LAI) algorithm described by Carlson & Ripley (1997) and related literature. It converts NDVI (Normalized Difference Vegetation ...
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