Results 181 to 190 of about 95,986 (277)

A Novel Fusion Method for State-of-Charge Estimation of Lithium-Ion Batteries Based on Improved Genetic Algorithm BP and Adaptive Extended Kalman Filter. [PDF]

Sensors (Basel), 2023
Cao L, Shao C, Zhang Z, Cao S.
europepmc   +1 more source

Curcumin Nanoformulations for Dermatological Applications: From Nutraceuticals to Nanocarriers

Food Frontiers, Volume 7, Issue 3, May 2026.
Nanotechnology‐based delivery platforms enhance the cutaneous administration of curcumin. Loading free curcumin into polymeric micelles, metal‐based nanoparticles, nanogels/hydrogels, liposomes, polymeric nanoparticles, or nanoemulsions/nanocrystals helps address its low solubility, poor stability and limited skin permeation. As a result, these systems
Stephany Celeste Gutiérrez‐Ruiz, Alejandra Romero‐Montero, Hector Hernández‐Parra, Sheila I. Peña‐Corona, Héctor Adrián García‐Gasca, Katya Carbone, Fabio Gervasi, Shivaprasad Shetty Mangalpady, Rajesh Kaverikana, Mariia Shanaida, Volodymyr Shanaida, Daniela Calina, Javad Sharifi‐Rad, Gerardo Leyva‐Gómez   +13 more
wiley   +1 more source

Improved noise reduction for nonlinear PMDC motor dead zone and friction model using variants of extended Kalman filter with practical validation. [PDF]

PLoS One
Haider S, Ali S, Saqlain M, Rasool A, Sherefa A.   +4 more
europepmc   +1 more source

Wildfire smoke reduces water temperature and metabolic rates in lakes and ponds across a small headwater watershed

Limnology and Oceanography Letters, Volume 11, Issue 3, May 2026.
Abstract Pervasive smoke from wildfires can alter fundamental aspects of lake ecosystems, such as water temperature and rates of gross primary production and ecosystem respiration (ecosystem metabolism). However, understanding the effects of smoke on lake temperature and metabolism remains challenging, due to spatiotemporal variability in smoke cover ...
Mary Jade Farruggia, Adrianne P. Smits, Steven Sadro   +2 more
wiley   +1 more source

Adaptive Distributed Student's T Extended Kalman Filter Employing Allan Variance for UWB Localization. [PDF]

Sensors (Basel)
Gao Y, Yang M, Zang X, Deng L, Li M, Xu Y, Sun M.   +6 more
europepmc   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Hybrid extended Kalman filter with Newton Raphson method for lifetime prediction of lithium-ion batteries. [PDF]

Sci Rep
Fahmy HM, Hasanien HM, Alharbi M, Ji H.
europepmc   +1 more source

A Hierarchical Bayesian Model for the Global Holocene Geomagnetic Field

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract We present a hierarchical Bayesian model of the global geomagnetic field for the last 8,000 years. The model is built solely with thermoremanent records, which include archeomagnetic and volcanic data. Building upon previous work, this model includes fewer approximations and treats model hyperparameters as probabilistic variables.
M. A. Schanner, S. Panovska, M. Korte
wiley   +1 more source

Model Predictive Path Integral Control of I²RIS Robot Using RBF Identifier and Extended Kalman Filter. [PDF]

Proc Am Control Conf
Esfandiari M, Du P, Wei H, Gehlbach P, Munawar A, Kazanzides P, Iordachita I.   +6 more
europepmc   +1 more source

Enhancing Regional Ensemble‐Variational Data Assimilation for Convection‐Permitting Prediction With Combination of the Dual‐Localization and Scales Blending of Global and Regional Ensembles

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract This study proposes a new scheme combining ensemble blending and dual‐localization of ensemble error covariance in an ensemble‐variational (EnVar) framework to better account for both the multi‐scale characteristics of the background and background error covariance for high‐resolution data assimilation and forecasting.
Yuanbing Wang, Xinyao Qian, Yaodeng Chen, Xin Li, Jinzhong Min, Yaxin Deng   +5 more
wiley   +1 more source