Results 61 to 70 of about 22,152,361 (306)

Mammographic feature enhancement by multiscale analysis

open access: yesIEEE Transactions on Medical Imaging, 1994
Introduces a novel approach for accomplishing mammographic feature analysis by overcomplete multiresolution representations. The authors show that efficient representations may be identified within a continuum of scale-space and used to enhance features of importance to mammography.
Laine, Andrew F.   +3 more
openaire   +5 more sources

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare   +5 more
wiley   +1 more source

Fluid simulations with atomistic resolution : a hybrid multiscale method with field-wise coupling [PDF]

open access: yes, 2013
We present a new hybrid method for simulating dense fluid systems that exhibit multiscale behaviour, in particular, systems in which a Navier–Stokes model may not be valid in parts of the computational domain.
Reese, Jason M.   +2 more
core   +1 more source

Multiscale Analysis of Biological Systems

open access: yesActa Biotheoretica, 2013
It is argued that multiscale approaches are necessary for an explanatory modeling of biological systems. A first step, besides common to the multiscale modeling of physical and living systems, is a bottom-up integration based on the notions of effective parameters and minimal models.
openaire   +3 more sources

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

open access: yesAdvanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ   +19 more
wiley   +1 more source

Multiscale simulation of non-isothermal microchannel gas flows [PDF]

open access: yes, 2014
This paper describes the development and application of an efficient hybrid continuum-molecular approach for simulating non-isothermal, low-speed, internal rarefied gas flows, and its application to flows in Knudsen compressors.
Patronis, Alexander, Lockerby, Duncan A.
core   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

open access: yesAdvanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling   +15 more
wiley   +1 more source

Multiscale Analysis of Styrene–Butadiene Latex Modified Rubber Concrete

open access: yesBuildings
Rubberized concrete is a novel green building material that enhances many features when rubber particles are incorporated into cement mortar, simultaneously yielding economic benefits through the recycling of waste tires.
Weiming Wang, Yong Feng, Jingjie Feng
doaj   +1 more source

Quantifying the Multiscale Predictability of Financial Time Series by an Information-Theoretic Approach

open access: yesEntropy, 2019
Making predictions on the dynamics of time series of a system is a very interesting topic. A fundamental prerequisite of this work is to evaluate the predictability of the system over a wide range of time.
Xiaojun Zhao   +3 more
doaj   +1 more source

Multivariate Generalized Multiscale Entropy Analysis [PDF]

open access: yesEntropy, 2016
Multiscale entropy (MSE) was introduced in the 2000s to quantify systems’ complexity. MSE relies on (i) a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales; (ii) the computation of the sample entropy for each coarse-grained time series.
openaire   +3 more sources

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