Objectives We validate a machine learning-based sepsis-prediction algorithm (InSight) for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate ...
Aims To predict the vault and the EVO-implantable collamer lens (ICL) size by artificial intelligence (AI) and big data analytics. Methods Six thousand two hundred and ninety-seven eyes implanted with ...
Computing the minimal volume oriented bounding box for a given point cloud in 3D is a hard problem in computer science. Exact algorithms are known and of cubic order in the number of points in 3D. A ...
remove-circle Internet Archive's in-browser video "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see your ...
Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, United States Department of Chemistry and Chemical Biology, Northeastern University, Boston, ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The efficiency of machine learning (ML) models is crucial to minimize inference times ...
Over the last decade, single-molecule localization microscopy (SMLM) has revolutionized cell biology, making it possible to monitor molecular organization and dynamics with spatial resolution of a few ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results