Results 181 to 190 of about 13,817 (251)

AI‐Driven Properties Prediction in Si3N4 Ceramics: Image‐Based and Processing Parameter Strategies

International Journal of Applied Ceramic Technology, Volume 23, Issue 3, June 2026.
ABSTRACT This review presents AI‐based approaches for predicting key properties of silicon nitride (Si3N4) ceramics from both microstructural images and process parameters. Convolutional neural networks (CNNs) successfully predicted bending strength, fracture toughness, and dielectric breakdown strength directly from microstructural images, with higher
Ryoichi Furushima, Yuki Nakashima, You Zhou, Manabu Fukushima   +3 more
wiley   +1 more source

Improving Basin‐Wide Flood Estimation From a Global Hydrological Model Through Spatiotemporal‐Pattern‐Based Machine Learning

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT When estimating future flood events using a global hydrological model (GHM), the large uncertainties associated with general circulation models (GCMs) and bias in the GHM model pose significant challenges. In the meantime, most future flood estimations are conducted only at specific gauge stations due to limited data availability and are ...
Jiaqing Wang, Quan J. Wang, Jianshi Zhao
wiley   +1 more source

Enhancing Artificial Neural Network Performance for Wildfire Susceptibility Mapping Using Bernstein‐Levy and Multi‐Population Differential Evolution Algorithms

Transactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Wildfire susceptibility mapping (WSM) is critical for forest management, land‐use planning, and disaster risk mitigation. Although hybrid artificial neural network (ANN) models optimized by metaheuristic algorithms are increasingly used in susceptibility mapping, they are often evaluated without strong machine learning benchmarks, spatially ...
Talha Taşkanat
wiley   +1 more source

Option Pricing with BP Neural Network and RBF Neural Network

Statistics and Application, 2013
openaire   +1 more source

Artificial neural network predictive models for optimizing the training process in race walking: a longitudinal observational study. [PDF]

PeerJ
Skalski D, Prończuk M, Łosińska K, Stastny P, Maszczyk A, Zajac A.   +5 more
europepmc   +1 more source

A Physics-Informed Manifold Neural Operator Framework for Multi-Parameter Prediction of Polymer Aging in HTPB Solid Propellants. [PDF]

Polymers (Basel)
Liu S, Qiang H, Geng T, Wang X, Pei S, Ju X.   +5 more
europepmc   +1 more source

Prediction of Impact Resistance of Nano-SiO₂ and Hybrid Fiber Modified Geopolymer Gel Concrete in Marine Wet-Thermal and Chloride Salt Environment. [PDF]

Gels
Lai C, Zhang P, Dai X, Zheng Y.
europepmc   +1 more source

Multi-Objective Optimization of Ultrasonic Surface Rolling Process Parameters for TC4 Titanium Alloy with IWOA-RBF and MOGWO Algorithms. [PDF]

Micromachines (Basel)
Lan Y, Rao C, Lyu Y.
europepmc   +1 more source

Application of optimal power point tracking technology in distributed grid-connected photovoltaic systems. [PDF]

PLoS One
Yang P, Weng H, Zhong Y.
europepmc   +1 more source

The Improved Hybrid STD- Radial Basis Function Neural Network Approach for Time Series Forecasting Application to Tesla Stock Price Prediction. [PDF]

F1000Res
H Abdullah H, A Noori N, S Hamza T.
europepmc   +1 more source