Results 41 to 50 of about 1,602 (158)
Advanced Photonics Research, Volume 7, Issue 5, May 2026.This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain +7 more
wiley +1 more source
Metasurfaces and Metadevices for Topological Electromagnetic Waves
Advanced Physics Research, Volume 5, Issue 5, May 2026.Optical topologies refer to diverse topological localized structures made by diverse parameters of light fields, such as vortices, skyrmions, and hopfions. This article navigates a direction of metasurface‐based integrated devices for generation, manipulation and detection of novel topologies of light, which would be a rapidly growing interdisciplinary
Rensheng Xie +3 more
wiley +1 more source
Model Discovery using Dynamic Mode Decomposition [PDF]
openIn this thesis we explored different approaches to video processing, first we had a glance at the RPCA method, one of the highly-competitive methods with respect to the state-of-the-art computer vision procedure for video processing.
MARANGON, TERESA
core
Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis
Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim +2 more
wiley +1 more source
Latent Diffeomorphic Dynamic Mode Decomposition
We present Latent Diffeomorphic Dynamic Mode Decomposition (LDDMD), a new data reduction approach for the analysis of non-linear systems that combines the interpretability of Dynamic Mode Decomposition (DMD) with the predictive power of Recurrent Neural ...
Bertozzi, Andrea L +2 more
core +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.This review evaluates advanced intelligent fault diagnosis and resilient fault‐tolerant control strategies for modular multilevel converters (MMCs). It highlights how integrating machine learning with robust control architectures enhances reliability and operational continuity, providing a roadmap for developing more resilient, self‐healing power ...
Muhammad Haris Saleem +3 more
wiley +1 more source
Propellants, Explosives, Pyrotechnics, Volume 51, Issue 5, Page 694-704, May 2026.Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray +5 more
wiley +1 more source
High-Order Dynamic Mode Decomposition for Multidimensional Harmonic Retrieval
Estimating channel parameters such as azimuth, elevation, Doppler shift, and delay is a key challenge in wireless communication, often formulated as a multidimensional harmonic retrieval (MHR) problem.
Zhang, Yanming +2 more
core +1 more source
Analysis of Sooting Turbulent Flames with Dynamic Mode Decomposition
, 2015 This thesis is an investigation of the application of the control theory algorithm known as Dynamic Mode Decomposition (DMD) to computational combustion models.
Jones, Silken Michelle
core
Characterization of elastic topological states using dynamic mode decomposition
, 2022 Elastic topological states have been receiving increased intention in numerous scientific and engineering fields due to their defect-immune nature, resulting in applications of vibration control and information processing.
Yang, Jinkyu +2 more
core +1 more source