Results 51 to 60 of about 316,859 (287)

Ambient Intelligence - Forschung und Anwendung

, 2022
S.4-10Ambient Intelligence (AmI) ist seit über fünf Jahren das dominierende Thema konzertierter Forschungsanstrengungen der Europäischen Union im Bereich der Informations- und Kommunikationstechnologien.
Mühlhäuser, Max, Wichert, Reiner, Encarnação, José L.   +2 more
core   +1 more source

Two-dimensional contour decomposition: Decomposing mortality differences into initial difference and trend components by age and cause of death [PDF]

Demographic Research
BACKGROUND: Conventional decomposition analysis identifies contributions from differences in covariates in total between-population difference, but does not address the question of the historical roots of the differences.
Dmitri A. Jdanov, Domantas Jasilionis, Vladimir Shkolnikov   +2 more
doaj   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Gutachten zu Forschung, Innovation und technologischer Leistungsfähigkeit Deutschlands 2009 [PDF]

, 2009
Die im Auftrag der deutschen Bundesregierung tätige Expertenkommission Forschung und Innovation legt hiermit ihr zweites Gutachten vor. Nach der Abfolge der Gutachten sollte es eigentlich ein ‚kurzes’ Gutachten sein, in dem zentrale Indikatoren von ...
EFI - Expertenkommission Forschung und Innovation
core  

A unified framework of demographic time

Genus, 2017
Demographic thought and practice is largely conditioned by the Lexis diagram, a two-dimensional graphical representation of the identity between age, period, and birth cohort.
Tim Riffe, Jonas Schöley, Francisco Villavicencio   +2 more
doaj   +1 more source

Forschung & Lehre [PDF]

Pflegezeitschrift, 2020
  +6 more sources

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Multi-wavelength anomalous diffraction de novo phasing using a two-colour X-ray free-electron laser with wide tunability

Nature Communications, 2017
X-ray free-electron lasers produce bright femtosecond X-ray pulses. Here, the authors use a two-colour X-ray free-electron laser beam for simultaneous two-wavelength data collection and show that protein structures can be determined with multiple ...
Alexander Gorel, Koji Motomura, Hironobu Fukuzawa, R. Bruce Doak, Marie Luise Grünbein, Mario Hilpert, Ichiro Inoue, Marco Kloos, Gabriela Kovácsová, Eriko Nango, Karol Nass, Christopher M. Roome, Robert L. Shoeman, Rie Tanaka, Kensuke Tono, Yasumasa Joti, Makina Yabashi, So Iwata, Lutz Foucar, Kiyoshi Ueda, Thomas R. M. Barends, Ilme Schlichting   +21 more
doaj   +1 more source

The contribution of forecast uncertainty to lifespan uncertainty [PDF]

Demographic Research
BACKGROUND: Period lifespan variability is sometimes interpreted as an indicator of lifespan uncertainty for individual cohort members. Is this an admissible interpretation for living cohort members, given that future death rates are not precisely known?
Ricarda Duerst, Jonas Schöley, Jonas Schöley   +2 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source