Results 51 to 60 of about 62,392 (177)

Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution

, 2016
Motion estimation across low-resolution frames and the reconstruction of high-resolution images are two coupled subproblems of multi-frame super-resolution.
Bercea, Cosmin, Köhler, Thomas, Maier, Andreas   +2 more
core   +1 more source

A feasible and automatic free tool for T1 and ECV mapping [PDF]

, 2017
Purpose: Cardiac magnetic resonance (CMR) is a useful non-invasive tool for characterizing tissues and detecting myocardial fibrosis and edema. Estimation of extracellular volume fraction (ECV) using T1 sequences is emerging as an accurate biomarker in ...
Altabella, Luisa, Borrazzo, Cristian, Carbone, Iacopo, Carni', Marco, Catalano, Carlo, DI CASTRO, Elisabetta, Fiorelli, Andrea, Francone, Marco, Galea, Nicola   +8 more
core   +1 more source

Continuum Mechanics Modeling of Flexible Spring Joints in Surgical Robots

Advanced Robotics Research, EarlyView.
A new mechanical model of a tendon‐actuated helical extension spring joint in surgical robots is built using Cosserat rod theory. The model can implicitly handle the unknown contacts between adjacent coils and numerically predict spring shapes from straight to significantly bent under actuation forces.
Botian Sun, Liang Zhang, Jianwen Zeng, Xuefeng Wang   +3 more
wiley   +1 more source

Nonsynchronous Rotor Blade Vibrations in Last Stage of 380 MW LP Steam Turbine at Various Condenser Pressures

Applied Sciences, 2022
This paper presents an analysis of nonsynchronous rotor blade vibrations in the last stage of an LP steam turbine at various condenser pressures. The nonlinear least squares Levenberg–Marquardt method is used in a tip-timing analysis to determine ...
Romuald Rzadkowski, Pawel Troka, Jerzy Manerowski, Leszek Kubitz, Miroslaw Kowalski   +4 more
doaj   +1 more source

Online Signature for Attendance Verification System using Levenberg-Marquardt Neural Network [PDF]

, 2015
This work focuses on the application of Levenberg-Marquardt based Back-propagation Neural Network for training features extracted from online signature images.
Adefuminiyi, Morakinyo A., Daramola, S. A., John, Temitope M.   +2 more
core   +1 more source

The geometry of nonlinear least squares with applications to sloppy models and optimization

, 2010
Parameter estimation by nonlinear least squares minimization is a common problem with an elegant geometric interpretation: the possible parameter values of a model induce a manifold in the space of data predictions.
A. Bakushinskii, Benjamin B. Machta, C. Igel, C. Misner, C. Rao, C. Rao, C. Udriste, D. Bates, D. Bates, D. Hilbert, E. Beale, H. Jeffreys, J. Hertz, J. Moré, J. Nocedal, J. Stoer, James P. Sethna, K. Levenberg, L. Eisenhart, L. Haines, M. Murray, M. Spivak, Mark K. Transtrum, P. Absil, R. Kass, R. Peeters, S. Amari, S. Smith, T. Ivancevic, W. Press   +29 more
core   +1 more source

A plethora of generalised solitary gravity-capillary water waves [PDF]

, 2015
The present study describes, first, an efficient algorithm for computing capillary-gravity solitary waves solutions of the irrotational Euler equations with a free surface and, second, provides numerical evidences of the existence of an infinite number ...
Clamond, Didier, Duran, Angel, Dutykh, Denys   +2 more
core   +6 more sources

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, EarlyView.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

An accelerated adaptive two-step Levenberg–Marquardt method with the modified Metropolis criterion

AIMS Mathematics
In this paper, aiming at the nonlinear equations, a new two-step Levenberg–Marquardt method was proposed. We presented a new Levenberg–Marquardt parameter to obtain the trial step. A new modified Metropolis criterion was used to adjust the upper bound of
Dingyu Zhu, Yueting Yang, Mingyuan Cao
doaj   +1 more source

Short-Term Dynamical Interactions Among Extrasolar Planets

, 2001
We show that short-term perturbations among massive planets in multiple planet systems can result in radial velocity variations of the central star which differ substantially from velocity variations derived assuming the planets are executing independent
Chambers, John E., Laughlin, Gregory
core   +1 more source