Results 171 to 180 of about 1,355,935 (279)

A Systematic Evaluation of the Performance of Multiple Brain Age Algorithms in Two Cohorts of Youth

Human Brain Mapping, Volume 47, Issue 2, February 1, 2026.
Performance of five influential brain age estimation algorithms in two population‐based cohorts of youth. Brain age was quantified using estimates of brain structure, and performance was evaluated based on correlations with chronological age, error indices, sensitivity to demographic characteristics, scanning parameters, genetic similarity, and ...
Cleanthis Michael, Natasha S. Jones, Jamie L. Hanson, Heidi B. Westerman, Kelly L. Klump, Colter Mitchell, Christopher S. Monk, S. Alexandra Burt, Luke W. Hyde   +8 more
wiley   +1 more source

Experimental Verification of a Two‐Dimensional Inverse Method for Turbidity Currents Using a Deep Neural Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Turbidites have been widely studied as indicators of the occurrences and magnitudes of paleo‐tsunamis and paleo‐earthquakes. Inversion to estimate flow conditions from turbidites offers valuable insights into the magnitudes of paleo‐seismic and tsunami events.
Seiya Fujishima, Hajime Naruse
wiley   +1 more source

Weak Physics‐Guided Multi‐Agent Learning for Surface to Subsurface Moisture Estimation Across Diverse Climate and Soil Conditions

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Estimating subsurface soil moisture remains challenging due to limited in situ observations and the complexity of soil water dynamics. Although surface soil moisture can be retrieved from satellites with high accuracy, deeper layers are not directly observable. Traditional physics‐based models that predict subsurface soil moisture require site‐
Abhilash Singh, Vidhi Singh, Kumar Gaurav   +2 more
wiley   +1 more source

Tracking control of industrial manipulator based on adaptive RBF neural network with local model approximation. [PDF]

Sci Rep
Han G, Huang C, Xiao W, Peng Y, Chen X, Mei Z.   +5 more
europepmc   +1 more source

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

Journal of Microscopy, Volume 301, Issue 2, Page 280-329, February 2026.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz, Sara Silva Pereira, David Kirchenbuechler, Leandro Lemgruber, Constadina Arvanitis   +4 more
wiley   +1 more source

Ultra-precision control of dual-axis scanning mechanism based on PSO-RBF neural network. [PDF]

Sci Rep
Fan J, Xu B, Zhang D, Cui J.
europepmc   +1 more source

Non‐Linear Reduced Order Modelling of Transonic Potential Flows for Fast Aerodynamic Analysis

International Journal for Numerical Methods in Engineering, Volume 127, Issue 2, 30 January 2026.
ABSTRACT This work presents a physics‐based reduced order modelling (ROM) framework for the efficient simulation of steady transonic potential flows around aerodynamic configurations. The approach leverages proper orthogonal decomposition and a least‐squares Petrov‐Galerkin (LSPG) projection to construct intrusive ROMs for the full potential equation ...
M. Zuñiga, S. Ares de Parga, R. Zorrilla, R. Rossi   +3 more
wiley   +1 more source

RBF Neural Network-Aided Robust Adaptive GNSS/INS Integrated Navigation Algorithm in Urban Environments. [PDF]

Sensors (Basel)
Wang J, Li R, Tu R, Zhang G, Hong J, Li F.   +5 more
europepmc   +1 more source

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

Comput Math Methods Med, 2021
Cai XW, Bao YQ, Hu MF, Liu JB, Zhu JM.
europepmc   +1 more source