Results 81 to 90 of about 285,904 (328)

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Message-Passing Algorithms: Reparameterizations and Splittings [PDF]

IEEE Transactions on Information Theory, 2013
A complete rework and expansion of the previous ...
Ruozzi, Nicholas, Tatikonda, Sekhar
openaire   +2 more sources

Four‐Point Bending Tests at High Temperatures on Commercial MgO‐C Refractory Bricks with and Without Recyclate Considering Different Carbon Contents

Advanced Engineering Materials, EarlyView.
Four‐point bending tests are conducted in an argon atmosphere on commercial MgO‐C brick grades with and without MgO‐C recyclate from room temperature up to 1300 °C. No detrimental effect of the MgO‐C recyclates on bending strength is found. Instead, a decisive influence of the total carbon content is observed, with lower total carbon contents ...
Alexander Schramm, Lukas Knöchel, Thomas Schemmel, Christos G. Aneziris, Anja Weidner, Horst Biermann   +5 more
wiley   +1 more source

CCPi-Regularisation toolkit for computed tomographic image reconstruction with proximal splitting algorithms

SoftwareX, 2019
Iterative reconstruction algorithms are often needed to help solve ill-posed inverse problems in computed tomography (CT), especially cases when tomographic projection data are corrupt, noisy or angularly undersampled.
Daniil Kazantsev, Edoardo Pasca, Martin J. Turner, Philip J. Withers   +3 more
doaj   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Statistical analysis of various splitting criteria for decision trees

Journal of Algorithms & Computational Technology, 2023
Decision trees are frequently used to overcome classification problems in the fields of data mining and machine learning, owing to their many perks, including their clear and simple architecture, excellent quality, and resilience.
Fadwa Aaboub, Hasna Chamlal, Tayeb Ouaderhman   +2 more
doaj   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Hybrid inertial viscosity-type forward-backward splitting algorithms for variational inclusion problems

AIMS Mathematics
Herein, we aimed to develop two hybrid inertial viscosity-type forward-backward splitting algorithms for estimating the common solution of the variational inclusion problem and fixed point problem in Hilbert spaces.
Doaa Filali, Mohammad Dilshad, Mohammad Akram, Mohd. Falahat Khan, Syed Shakaib Irfan   +4 more
doaj   +1 more source

A double-step-length symmetric splitting sequential quadratic optimization algorithm for two-block nonconvex optimization [PDF]

, 2022
Jinbao Jian, Donglei Cui, Guodong Ma, Jianghua Yin   +3 more
openalex   +1 more source

Projective Splitting as a Warped Proximal Algorithm

Applied Mathematics & Optimization, 2022
We show that the asynchronous block-iterative primal-dual projective splitting framework introduced by P. L. Combettes and J. Eckstein in their 2018 Math. Program. paper can be viewed as an instantiation of the recently proposed warped proximal algorithm.
openaire   +3 more sources