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Demonstration of Krypton

Proceedings of the VLDB Endowment, 2019
In this demonstration, we present Krypton, a system for accelerating occlusion-based deep convolution neural network (CNN) explanation workloads. Driven by the success of CNNs in image understanding tasks, there is growing adoption of CNNs in various domains, including high stakes applications such as radiology.
Allen Ordookhanians   +3 more
openaire   +1 more source

Viscosity and Thermal Conductivity of Binary Gas Mixtures: Krypton-Argon, Krypton-Neon, and Krypton-Helium

Proceedings of the Physical Society, 1961
The coefficients of viscosity and thermal conductivity of binary mixtures of krypton with argon, neon and helium have been determined over the full range of composition of each mixture at a pressure of 70 cm of mercury and at a temperature in the range 18.0 to 18.3°C.
openaire   +1 more source

Deep-mantle krypton reveals Earth’s early accretion of carbonaceous matter

Nature, 2021
Sandrine Péron   +2 more
exaly  

Coincidence Measurements of Krypton-Krypton Collisions

Physical Review, 1968
M. P. McCaughey   +2 more
openaire   +1 more source

Robust and Radiation-Resistant Hofmann-Type Metal–Organic Frameworks for Record Xenon/Krypton Separation

Journal of the American Chemical Society, 2022
Banglin Chen, Bin Li, Guodong Qian
exaly  

Dendritic solidification of krypton

Physical Review B, 1988
, Bilgram, , Firmann, , Känzig
openaire   +2 more sources

On Krypton

Scientific American, 1900
A. Ladenburg, C. Kruegel
openaire   +1 more source

A krypton-83m generator

The International Journal of Applied Radiation and Isotopes, 1971
A A, Moghissi, H B, Hupf
openaire   +2 more sources

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