Results 161 to 170 of about 6,116,370 (301)
Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering
Advanced Materials Technologies, EarlyView.Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch +7 more
wiley +1 more source
Inverse problem for adaptive SIR model: Application to COVID-19 in Latin America. [PDF]
Infect Dis Model, 2022 Marinov TT, Marinova RS.
europepmc +1 more source
Advanced Materials Technologies, EarlyView.Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
A hybrid approach to predict COVID-19 cases using neural networks and inverse problem
, 2022 Paul S, Lorin E.
europepmc +2 more sources
Potential risk quantification from multiple biological factors via the inverse problem algorithm as an artificial intelligence tool in clinical diagnosis. [PDF]
Technol Health Care, 2023 Huang SH +5 more
europepmc +1 more source
Advanced Optical Materials, EarlyView.Comparing Fabry–Perot and plasmonic nanorod cavities reveals how the number of dark states dictates polariton relaxation. The high number of dark states results in a polaritonic bottleneck, while reducing the number of dark states enables to measure the polaritonic decay.
Nicola Peruffo +5 more
wiley +1 more source
An Inverse Problem Involving a Viscous Eikonal Equation with Applications in Electrophysiology. [PDF]
Vietnam J Math, 2022 Kunisch K, Trautmann P.
europepmc +1 more source
Efficient MCMC and posterior consistency for Bayesian inverse problems [PDF]
Many mathematical models used in science and technology often contain parameters that are not known a priori. In order to match a model to a physical phenomenon, the parameters have to be adapted on the basis of the available data.
Vollmer, Sebastian
core
On‐Chip Photonic Neural Network Architectures
Advanced Optical Materials, EarlyView.This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Inverse volatility problem for currency options
Electronic Journal of Differential Equations, 2023 Ian Knowles, Sundar Tamang
doaj