Modified poisson series to implement the method of multiple scales [PDF]
The method of multiple scales is a global perturbation technique that has resulted to be very useful in perturbed ordinary differential equations characterized by disparate time scales. The general principle behind the method is that the solution to the differential equation is uniformly expanded in terms of two or more independent variables, referred ...
Juan F. Navarro, Navarro, Juan F.
openaire +5 more sources
Geosensor Network Optimisation to Support Decisions at Multiple Scales
Geosensor networks are often used to monitor processes at different spatial scales. Existing approaches for configuring geosensor locations (i.e. sample design) do not address two key challenges: 1) they are limited to a single scale of analysis and do ...
Comber, L, Harris, P.
core +1 more source
Multi-Scale Fused SAR Image Registration Based on Deep Forest
SAR image registration is a crucial problem in SAR image processing since the registration results with high precision are conducive to improving the quality of other problems, such as change detection of SAR images. Recently, for most DL-based SAR image
Shasha Mao +5 more
doaj +1 more source
Method of multiple scales with three time scales [PDF]
AbstractSome confusion appears in the literature regarding the extension of the method of multiple scales to three or more time scales. While the work of Murdock and Wang [1] correctly indicates some obstructions to such an extension in some types of problems, other work suggests that the extension should almost never be possible [2]. These pessimistic
Peter Kramer +3 more
openaire +1 more source
Application of Multiple-Scales Method for the Dynamic Modelling of a Gear Coupling
Thin-walled gears, designed for aeronautical applications, have shown very rich dynamics that must be investigated in advance of the design phase. One of the signatures of their dynamics is coupling due to the meshing teeth which stand-alone gear models ...
Enrico Pipitone +2 more
doaj +1 more source
Data-driven discovery of the spatial scales of habitat choice by elephants [PDF]
Setting conservation goals and management objectives relies on understanding animal habitat preferences. Models that predict preferences combine location data from tracked animals with environmental information, usually at a spatial resolution determined
Andrew F. Mashintonio +4 more
doaj +2 more sources
PRINCIPAL-INTERNAL RESONANCE OF AN AXIALLY MOVING THIN PLATE SUBJECTED TO DOUBLE LINE LOADS
Using Kirchhoff’s basic hypothesis and combining geometric equation with physical equation, the nonlinear vibration equation of axially moving thin plates was obtained by using Hamilton variation principle.
XIE MengXue, HU YuDa
doaj
Segmentation of 3D images of plant tissues at multiple scales using the level set method
Background Developmental biology has made great strides in recent years towards the quantification of cellular properties during development. This requires tissues to be imaged and segmented to generate computerised versions that can be easily analysed ...
Annamária Kiss +5 more
doaj +1 more source
Analysing and correcting the differences between multi-source and multi-scale spatial remote sensing observations. [PDF]
Differences exist among analysis results of agriculture monitoring and crop production based on remote sensing observations, which are obtained at different spatial scales from multiple remote sensors in same time period, and processed by same algorithms,
Yingying Dong +6 more
doaj +1 more source
Multi-Scale Ensemble Learning for Thermal Image Enhancement
In this study, we propose a multi-scale ensemble learning method for thermal image enhancement in different image scale conditions based on convolutional neural networks.
Yuseok Ban, Kyungjae Lee
doaj +1 more source

