Results 91 to 100 of about 407,884 (290)

Graph geometry interaction learning

, 2020
While numerous approaches have been developed to embed graphs into either Euclidean or hyperbolic spaces, they do not fully utilize the information available in graphs, or lack the flexibility to model intrinsic complex graph geometry.
Zhou, C, Wu, J, Cao, Y, Wang, B, Zhu, S, Pan, S   +5 more
core  

Fisher Information Matrix And Hyperbolic Geometry

, 2015
The Fisher information matrix induces a metric on parametric spaces of families of probability density functions. We analyse here the family of normal distributions showing how hyperbolic geometry arises naturally from the Fisher information metric ...
Santos S.A., Costa S.I.R., Strapasson J.E.   +2 more
core   +1 more source

A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection

Advanced Engineering Materials, EarlyView.
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan, Shuvra Saha, Sumit Hassan Eshan, Rinku Basak, Md. Nahian Al Subri Ivan, Ahmed Murtuza Saleque, Raja Tariqul Hasan Tusher, Sadia Zabin, Md. Abdur Rahman, Yuen Hong Tsang   +9 more
wiley   +1 more source

Linking geometry and algebra in the school mathematics curriculum

, 2010
This chapter focuses on the linking of geometry and algebra in the teaching and learning of mathematics - and how, through such linking, the mathematics curriculum might be strengthened.
Jones, Keith
core  

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

On Information Geometrical Structures

Hittite Journal of Science and Engineering, 2018
Information geometry is a modern differential geometric approach to statistics, in particular theory of information. The main motivation for this expository survey article is the lack of compact material that mainly address to mathematical audience ...
Fatma Muazzez Simsir
doaj   +1 more source

Reduction of Oxide Inclusions During the High‐Frequency Welding of Steel via a Nonthermal Ar/H2 Plasma Jet

Advanced Engineering Materials, EarlyView.
High‐frequency (HF) welding of steel is limited by oxide inclusions that degrade weld quality. This study demonstrates, for the first time, the integration of a nonthermal Ar/H2 dielectric barrier discharge (DBD) plasma jet into HF welding. Local plasma treatment provides effective shielding and in‐situ oxide reduction, resulting in markedly fewer and ...
Viktor Udachin, Lienhard Wegewitz, René Gustus, Henning Wiche, Wolfgang Maus‐Friedrichs   +4 more
wiley   +1 more source

Geometry, working memory and intelligence [PDF]

, 2013
Geometry is a fundamental part of mathematical learning. Since ancient time the study of geometry was considered as one of the most important subjects in school.
Giofrè, David
core  

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source