Results 141 to 150 of about 12,056,236 (247)
An end-to-end deep learning image compression method for satellite images based on entropy model. [PDF]
Gao Y +5 more
europepmc +1 more source
Correction to: Lossy Image Compression in a Preclinical Multimodal Imaging Study. [PDF]
Cunha FF +9 more
europepmc +1 more source
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
Lossless and Near-Lossless Image Compression Using Generalized Multi-Context Linear and Nonlinear Prediction. [PDF]
Ulacha G, Łazoryszczak M.
europepmc +1 more source
Lossy Image Compression in a Preclinical Multimodal Imaging Study. [PDF]
Cunha FF +9 more
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
FlowRoI: fast optical-flow-based Roi extraction for high-throughput immune cell image compression. [PDF]
Xu X +7 more
europepmc +1 more source
FLoCIC: A Few Lines of Code for Raster Image Compression. [PDF]
Žalik B +8 more
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
QARV++: An Improved Hierarchical VAE for Learned Image Compression. [PDF]
Zhang Y, Huang Y, Zhu F.
europepmc +1 more source

