This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat +2 more
wiley +1 more source
Stiffness optimization of electric spindle performance based on multi-layer perceptron integrated Bayesian. [PDF]
Dong X +8 more
europepmc +1 more source
Multi-layer perceptron classification & quantification of neuronal survival in hypoxic-ischemic brain image slices using a novel gradient direction, grey level co-occurrence matrix image training. [PDF]
Bhattacharya S +3 more
europepmc +1 more source
High Precision Prediction Model of Wind Speed for Underground Mine Tunnel by Using ASTF Net
This paper proposes an Adaptive Spectral‐Temporal Fusion Net (ASTF‐Net), which features a novel decomposition‐ensemble framework with adaptive feature fusion. This design deliberately balances spectral and temporal features and effectively boosts prediction accuracy in complex ventilation environments. ABSTRACT An Adaptive Spectral‐Temporal Fusion Net (
Ruo‐Qi Li +4 more
wiley +1 more source
FBCA: Flexible Besiege and Conquer Algorithm for Multi-Layer Perceptron Optimization Problems. [PDF]
Guo S, Guo C, Jiang J.
europepmc +1 more source
Evaluation of Multi-layer Perceptron Neural Networks in Predicting Ankle Dorsiflexion in Healthy Adults using Movement-related Cortical Potentials for BCI-Neurofeedback Applications. [PDF]
Behboodi A +3 more
europepmc +1 more source
Triboelectric nanogenerators for vehicle intelligent cockpits
Converting mechanical stimuli from drivers and vehicle motion into electrical signals, triboelectric nanogenerators provide promising interfaces toward passive, flexible, distributed and intelligent sensing for next‐generation automotive cockpits to support three core functional dimensions: driver state monitoring, vehicle state monitoring, and human ...
Haiqiu Tan +9 more
wiley +1 more source
High-Efficiency Lossy Source Coding Based on Multi-Layer Perceptron Neural Network. [PDF]
Wang Y +5 more
europepmc +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
A Novel Text‐Based Framework for Forecasting Carbon Prices
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley +1 more source

