Bedtime regularization as a potential adjunct therapy for hypertension: a proof-of-concept study. [PDF]
Thosar SS +10 more
europepmc +1 more source
Projection regularization algorithm for solving linear algebraic system of large dimension
Alexander Ivanovich Zhdanov +1 more
openalex +1 more source
Enhancing Electrical Impedance Based Deformation Sensing with Dielectric Current Guide
This work introduces a dielectric‐based field manipulation strategy for electrical impedance tomography in soft robotics. By using silicone as a passive electric field guide, improved deformation sensing accuracy and reduced interference are achieved without embedding conductive components.
Arsen Abdulali +3 more
wiley +1 more source
A locally adaptive regularization of a hybrid variational model for color image diffusion via integration of diffusion with normalized data. [PDF]
Arain MB +6 more
europepmc +1 more source
This work proposed an unsupervised physics‐informed deep learning method of generating space‐time‐coding metasurface coding patterns for arbitrary single‐ and dual‐beam requirements at each harmonic. This method is specially designed for the coding pattern design task of multi‐bit scenario, and it can effectively handle the optimization trouble caused ...
Jiang Han Bao +6 more
wiley +1 more source
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source
Improvement of the density fitting approach for the Gaussian electrostatic model via the use of the discrete Picard condition in Tychonov regularization. [PDF]
Roy A, Cisneros GA.
europepmc +1 more source
Evolution of image regularization with PDEs toward a new anisotropic smoothing based on half kernels
Baptiste Magnier, Philippe Montesinos
openalex +2 more sources
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
A fusion sparse learning algorithm for fault identification of rolling bearings. [PDF]
Liu Y, Liu J, Ma Y, Wang S, Zhang Q.
europepmc +1 more source

