Results 141 to 150 of about 12,056,236 (247)

Correction to: Lossy Image Compression in a Preclinical Multimodal Imaging Study. [PDF]

open access: yesJ Digit Imaging, 2023
Cunha FF   +9 more
europepmc   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

open access: yesAdvanced Engineering Materials, EarlyView.
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

Lossy Image Compression in a Preclinical Multimodal Imaging Study. [PDF]

open access: yesJ Digit Imaging, 2023
Cunha FF   +9 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
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]

open access: yesNpj Imaging
Xu X   +7 more
europepmc   +1 more source

FLoCIC: A Few Lines of Code for Raster Image Compression. [PDF]

open access: yesEntropy (Basel), 2023
Žalik B   +8 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
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]

open access: yesIEEE Trans Circuits Syst Video Technol
Zhang Y, Huang Y, Zhu F.
europepmc   +1 more source

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