Results 51 to 60 of about 24,612 (214)
Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source
Statistics of the MLE and Approximate Upper and Lower Bounds - Part 1: Application to TOA Estimation [PDF]
In nonlinear deterministic parameter estimation, the maximum likelihood estimator (MLE) is unable to attain the Cramer-Rao lower bound at low and medium signal-to-noise ratios (SNR) due the threshold and ambiguity phenomena.
Craeye, Christophe +4 more
core +2 more sources
ABSTRACT Intravoxel incoherent motion (IVIM) MRI allows for simultaneous assessment of tissue microcirculation (perfusion) and diffusion of water. In single‐center studies, IVIM has shown great potential for diagnosis, treatment outcome prediction, and treatment monitoring for many different diseases and organs.
Eric E. Sigmund +23 more
wiley +1 more source
Escort--Husimi distributions, Fisher information and nonextensivity
We evaluate generalized information measures constructed with Husimi distributions and connect them with the Wehrl entropy, on the one hand, and with thermal uncertainty relations, on the other one. The concept of escort distribution plays a central role
A. Plastino +30 more
core +1 more source
Pooling information across sites and years to estimate bat fatalities at wind farms
We compared complete pooling (CP), no pooling (NP), and partial pooling (PP) approaches for estimating detection probabilities and hence bat fatalities at wind farms. Partial pooling integrates information across sites and years, improving precision with sparse data while preserving site‐level variation.
Natalia Berberian, Philip M. Dixon
wiley +1 more source
Posterior Cramer–Rao Lower Bounds for dual Kalman estimation
We present the Posterior Cramer-Rao Lower Bounds (PCRLB) for the dual Kalman filter estimation where the parameters are assumed to be time-invariant and stationary random variables. Relations between the PCRLB, the states, and the parameters are established and recursions are obtained for finite observation time.
Esra Saatci, Aydin Akan
openaire +3 more sources
Supercritical Angle Fluorescence and Raman Techniques in Biophotonics
Supercritical angle fluorescence (SAF) microscopy and supercritical angle Raman (SAR) spectroscopy have emerged as powerful tools in the field of biophotonics, enabling high‐resolution imaging and spectroscopy of biological specimens near interfaces. This review article provides a comprehensive overview of the principles, techniques, applications, and ...
Subir Das +2 more
wiley +1 more source
Vector Uniform Cramer-Rao Lower Bound
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
openaire +1 more source
Robust Online Hamiltonian Learning [PDF]
In this work we combine two distinct machine learning methodologies, sequential Monte Carlo and Bayesian experimental design, and apply them to the problem of inferring the dynamical parameters of a quantum system.
Aïmeur E +23 more
core +4 more sources
Quantitative Diffusion and T2 Mapping Using RF‐Modulated Phase‐Based Gradient Echo Imaging
ABSTRACT Purpose To introduce and evaluate the feasibility of a novel RF‐phase modulated gradient echo (GRE) method for quantitative diffusion MRI, aimed at mitigating geometric distortion and enabling high‐resolution 3D quantitative diffusion/T2 mapping as a complementary alternative to conventional DWI.
Daiki Tamada +4 more
wiley +1 more source

