Results 91 to 100 of about 296,140 (309)

Image Classification of Human Carcinoma Cells Using Complex Wavelet-Based Covariance Descriptors [PDF]

, 2012
Cancer cell lines are widely used for research purposes in laboratories all over the world. Computer-assisted classification of cancer cells can alleviate the burden of manual labeling and help cancer research.
Suhre, Alexander, Rengul Cetin-Atalay, Ersahin, Tulin, A Enis Cetin, Kivanc Kose (103388), Kose, Kivanc, Alexander Suhre, Tulin Ersahin (103389), A. Enis Cetin (103390), Alexander Suhre (103387), Suhre, A., Kivanc Kose, Cetin, Rengul, Er Suhre, Furkan Keskin (103385), Ersahin, T., Kose, K., A. Enis Cetin, Cetin, A. Enis, Keskin, F., Furkan Keskin, Cetin Atalay, R., Keskin, Furkan, Tulin Ersahin, Rengul Cetin-Atalay (103391)   +24 more
core   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Application of the covariance analysis by the “sliding window” method to assess the relationship of non-stationary time series

Экспериментальная психология
A covariance analysis method is described to solve the problem of estimating the dynamics of the relationship between two non-stationary time series, represented by behavioral and/or physiological data.
V.V. Apanovich, D.L. Gladilin
doaj   +1 more source

Analysis of code levelling rods calibration accuracy applying covariance functions

Geodesy and Cartography, 2012
An analysis of code levelling rods calibration accuracy applying covariance functions theory is presented. Images of the coded rods are treated by the Matlab 7 computer program.
Jonas Skeivalas, Eimuntas Paršeliūnas, Raimundas Putrimas, Dominykas Šlikas   +3 more
doaj   +1 more source

The affine equivariant sign covariance matrix: asymptotic behavior and efficiencies. [PDF]

We consider the affine equivariant sign covariance matrix (SCM) introduced by Visuri et al. (J. Statist. Plann. Inference 91 (2000) 557). The population SCM is shown to be proportional to the inverse of the regular covariance matrix. The eigenvectors and
Croux, Christophe, Ollila, E, Oja, H
core  

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

Reply to: Analysis of covariance and sample size calculation for comparing means in randomized controlled trials. [PDF]

J Cardiovasc Thorac Res, 2023
Mesri Alamdari N, Ghaffari S, Roshanravan N.   +2 more
europepmc   +1 more source

Portfolio risk measurement: the estimation of the covariance of stock returns [PDF]

A covariance matrix of asset returns plays an important role in modern portfolio analysis and risk management. Despite the recent interests in improving the estimation of a return covariance matrix, there remain many areas for further investigation. This
Liu, Lan
core  

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Analysis of covariance and sample size calculation for comparing means in randomized controlled trials. [PDF]

J Cardiovasc Thorac Res, 2023
Alimohamadi Y, Sepandi M.
europepmc   +1 more source