A systematic review on overfitting control in shallow and deep neural networks
Shallow neural networks process the features directly, while deep networks extract features
automatically along with the training. Both models suffer from overfitting or poor …
automatically along with the training. Both models suffer from overfitting or poor …
Volumetric emission tomography for combustion processes
This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …
tomography for combustion processes. Many flames that are of interest to scientists and …
Ss antman je marsden l. sirovich
JKHPHJ Keener, JKBJMA Mielke, CSPKR Sreenivasan - 2005 - Springer
The main purpose of this chapter is to give a derivation, which is mathematically precise,
physically natural, and conceptually simple, of the quasilinear system of partial differential …
physically natural, and conceptually simple, of the quasilinear system of partial differential …
[图书][B] Electrical impedance tomography: methods, history and applications
With contributions from leading international researchers, this second edition of Electrical
Impedance Tomography: Methods, History and Applications has been fully updated …
Impedance Tomography: Methods, History and Applications has been fully updated …
GREIT: a unified approach to 2D linear EIT reconstruction of lung images
Electrical impedance tomography (EIT) is an attractive method for clinically monitoring
patients during mechanical ventilation, because it can provide a non-invasive continuous …
patients during mechanical ventilation, because it can provide a non-invasive continuous …
Image reconstruction in electrical impedance tomography based on structure-aware sparse Bayesian learning
Electrical impedance tomography (EIT) is developed to investigate the internal conductivity
changes of an object through a series of boundary electrodes, and has become increasingly …
changes of an object through a series of boundary electrodes, and has become increasingly …
[图书][B] Polarization and moment tensors: with applications to inverse problems and effective medium theory
This book presents important recent developments in mathematical and computational
methods used in impedance imaging and the theory of composite materials. By augmenting …
methods used in impedance imaging and the theory of composite materials. By augmenting …
A review on image reconstruction algorithms for electrical capacitance/resistance tomography
Purpose Electrical capacitance tomography (ECT) and electrical resistance tomography
(ERT) are promising techniques for multiphase flow measurement due to their high speed …
(ERT) are promising techniques for multiphase flow measurement due to their high speed …
Roadmap on measurement technologies for next generation structural health monitoring systems
Structural health monitoring (SHM) is the automation of the condition assessment process of
an engineered system. When applied to geometrically large components or structures, such …
an engineered system. When applied to geometrically large components or structures, such …
Structural health and condition monitoring via electrical impedance tomography in self-sensing materials: a review
TN Tallman, DJ Smyl - Smart Materials and Structures, 2020 - iopscience.iop.org
Much recent work has been devoted to utilizing changes in either the inherent or imparted
electrical conductivity of self-sensing materials as an indicator of damage, deformation or …
electrical conductivity of self-sensing materials as an indicator of damage, deformation or …