Results 71 to 80 of about 54,415 (225)

Splitting methods with variable metric for KL functions

, 2013
We study the convergence of general abstract descent methods applied to a lower semicontinuous nonconvex function f that satisfies the Kurdyka-Lojasiewicz inequality in a Hilbert space.
Frankel, Pierre, Garrigos, Guillaume, Peypouquet, Juan   +2 more
core   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

A Hybrid Inversion Scheme Combining Markov Chain Monte Carlo and Iterative Methods for Determining Optical Properties of Random Media

Applied Sciences, 2019
Near-infrared spectroscopy (NIRS) including diffuse optical tomography is an imaging modality which makes use of diffuse light propagation in random media.
Yu Jiang, Yoko Hoshi, Manabu Machida, Gen Nakamura   +3 more
doaj   +1 more source

A Modified Levenberg-Marquardt Method for the Bidirectional Relay Channel

, 2014
This paper presents an optimization approach for a system consisting of multiple bidirectional links over a two-way amplify-and-forward relay. It is desired to improve the fairness of the system. All user pairs exchange information over one relay station
Ascheid, Gerd, Dartmann, Guido, Zandi, Ehsan   +2 more
core   +1 more source

The Illusion of Structural Order: Evaluating the Suppression of Amorphous Carbon Black Pigment Bands in SSE‐Processed Handheld Raman Spectra

Journal of Raman Spectroscopy, EarlyView.
The handheld Raman with SSE system efficiently mitigates fluorescence; however, it may also bias the Raman response towards graphitic domains in carbon‐based black pigments, thereby concealing amorphous carbon contributions that are critical for pigment type identification.
Zeynep Alp, Christoph Herm
wiley   +1 more source

A Levenberg-Marquardt algorithm for fi tting σ-w curves from three-point bend tests for plain and fi ber reinforced concretes

Revista IBRACON de Estruturas e Materiais
This technical note describes the implementation of the Levenberg-Marquardt algorithm for the inverse analysis of three-point bend tests on notched specimens of plain and fiber reinforced concretes for determining softening parameters (σ-w curves). Tests
J.L.A.O. Sousa
doaj   +1 more source

Thin‐layer drying kinetics and mathematical modelling of osmotically pretreated vacuum dried green chilli

JSFA reports, EarlyView.
Abstract Background Chilli is highly perishable, often requiring drying to extend shelf life. This study assesses and compares the drying kinetics of osmotically pretreated green chilli under vacuum drying conditions while evaluating suitable mathematical models and calculating effective moisture diffusivity and activation energy. Results Sliced chilli
Md. Raihanul Haque, Md. Iftekhar Kabir, Md. Nahidul Islam, Md. Mojaffor Hosain, Md. Sazzat Hossain Sarker   +4 more
wiley   +1 more source

Implementation and testing of selected optimization methods for the parameter estimation of simulation models [PDF]

, 2016
Tato práce se zabývá návrhem vhodných optimalizačních algoritmů pro potřeby nově vyvíjeného nástroje Mechlab’s parameter estimation, který slouží pro odhad parametrů simulačních modelů v prostředí Matlab/Simulink.
Zapletal, Marek
core  

A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems

, 2003
Decision-making is a process of choosing among alternative courses of action for solving complicated problems where multi-criteria objectives are involved.
Abraham, Ajith, Jain, Lakhmi, Tran, Cong
core   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq, H. W. A. Riaz, Sadique Rehman, M. Mamun Miah, Wen Xiu Ma   +4 more
wiley   +1 more source