Results 141 to 150 of about 42,681 (238)

Giant Fibrous Dysplasia of the Sixth Rib Managed in a Rural, Resource-Limited Setting: A Case Report. [PDF]

Case Rep Orthop
Bhole S, Wilkinson TRV, Nair S, Tiwari A.   +3 more
europepmc   +1 more source

Characterizing local best SAIN approximations

Journal of Approximation Theory, 1982
openaire   +2 more sources

On the existence and characterization of best nonlinear Tchebycheff approximations [PDF]

Transactions of the American Mathematical Society, 1964
openaire   +2 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

Primer design through submodular function estimation. [PDF]

Bioinformatics
Chen Y, Han Y, Wang A, Hong A, Rivers AR, Kuhnle A, Boucher C.   +6 more
europepmc   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Support Size of <i>ε</i>-Capacity-Achieving Inputs for the Amplitude-Constrained AWGN Channel. [PDF]

Entropy (Basel)
Barletta L, Dytso A.
europepmc   +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

High-Sensitivity Room-Temperature Power Sensor Based on a Graphene Oxide-PDMS Bilayer and Surface Plasmon Resonance Suitable for the Detection of IR-THz Radiation. [PDF]

Sensors (Basel)
Margheri G, Rosso TD.
europepmc   +1 more source

Characterization of best Chebyshev approximations with prescribed norm

Journal of Approximation Theory, 1976
Ross, Michael D, Belford, Geneva G
openaire   +1 more source