A Note on Local Polynomial Regression for Time Series in Banach Spaces
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley +1 more source
Prediction of Short-Term Stock Price Trend Based on Multiview RBF Neural Network. [PDF]
Lv B, Jiang Y.
europepmc +1 more source
ABSTRACT This study enhances a framework of surrogate computational homogenization (SCH) using decision tree‐based partition‐of‐unity radial basis function (PU‐RBF) interpolation for three‐dimensional finite‐deformation two‐scale analysis. The method addresses the scalability limitation of global RBF interpolation for large numerical material test (NMT)
Yosuke Yamanaka +2 more
wiley +1 more source
RBF Neural Network Sliding Mode Control for Passification of Nonlinear Time-Varying Delay Systems with Application to Offshore Cranes. [PDF]
Jiang B, Liu D, Karimi HR, Li B.
europepmc +1 more source
Accelerating Sustainable Epoxy Resin Development Through Bayesian Optimization and Inverse Design
Development of a machine learning framework for the optimization of the Tg of partially bio‐based epoxy resin formulations in a 13‐component design space using Bayesian optimization, active learning, random design, and inverse design. The results show that the BO effectively navigates high‐dimensional formulation spaces, and the final ML model could ...
Natalie Wunder +3 more
wiley +1 more source
Graph Neural Network‐Guided and Interpretable Discovery of Supercapacitor Electrode Materials
A graph neural network framework combines MEGNet and attention‐enhanced MAGNET to screen over 22 000 DFT‐derived crystal structures for supercapacitor electrodes. It uses formation energy, stability, and band‐gap filtering with Pareto scoring, Monte Carlo Dropout uncertainty, and capacitance classifiers, achieving 90% agreement with cross‐validation ...
Jeffin Kurian Mathews +4 more
wiley +1 more source
Multiple Laplacian Regularized RBF Neural Network for Assessing Dry Weight of Patients With End-Stage Renal Disease. [PDF]
Guo X +8 more
europepmc +1 more source
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Hybrid Prediction Method for ECG Signals Based on VMD, PSR, and RBF Neural Network. [PDF]
Huang F, Qin T, Wang L, Wan H.
europepmc +1 more source

