Results 231 to 240 of about 120,010 (245)

Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network Design

Journal of Chemical Information and Modeling
In this study, we introduced Matini-Net, which is a versatile framework for feature engineering and automated architecture design for materials informatics research using deep neural networks. Matini-Net provides the flexibility to design feature-based, graph-based, and combinations of these models, accommodating both single- and multimodal model ...
Kyoungmin Min, Taehyun Park, Taehyun Park   +2 more
exaly   +3 more sources

A dual path hybrid neural network framework for remaining useful life prediction of aero‐engine

Quality and Reliability Engineering International
AbstractPredicting the remaining useful life (RUL) of an engine is one of the key tasks of Prognostics and health management (PHM). Modern mechanical equipment typically operates in complex operating conditions and fault modes, leading to dispersed distribution of sensor data and challenges for feature extraction.
Xinhua Lu, Haobo Pan, Lingxiao Zhang, Li Ma, Hui Wan   +4 more
openaire   +1 more source

The Neural Engineering Framework (NEF)

2021
openaire   +1 more source

Neural Percolation Model (NPM): An Engineering Analogy Framework for Neural Network Information Propagation and Capability Emergence

We propose the Neural Percolation Model (NPM), an engineering framework that maps the physics of Pore Network Models (PNM) onto neural network information propagation. Starting from a single conservation principle—steadystate information flow satisfies nodal balance—we derive a unified master equation:                                                   
openaire   +1 more source

Programming Neuromorphics Using the Neural Engineering Framework

2023
Aaron R Voelker, Chris Eliasmith, Eliasmith Chris   +2 more
exaly  

A Wavelet Transform-Assisted Convolutional Neural Network Multi-Model Framework for Monitoring Large-Scale Fluorochemical Engineering Processes

Processes, 2020
Zhiqiang Ge, Kai Song, Xu Chen
exaly  

Digital circuits for evaluating neural engineering framework style neural networks

2022
MORCOS BENJAMIN JACOB, ELIASMITH CHRISTOPHER DAVID, KAPRE NACHIKET GANESH   +2 more
openaire   +1 more source

Physics-Informed Hybrid Neural Network Frameworks for Digital Twin Development in Process Systems Engineering

This thesis investigates hybrid neural network frameworks for developing reliable digital twins in process systems engineering. The overall aim is to combine physics-based knowledge with data-driven models to obtain predictive tools that are accurate, computationally efficient, and robust enough for use in real-time decision making. Particular emphasis
openaire   +1 more source

Novel Neural Network Based CT-NSCT Watermarking Framework Based upon Kurtosis Coefficients

Sensing and Imaging, 2019
Mazinan A H, A H Mazinan
exaly  

A Machine Learning Framework Using Neural Networks for Conceptual Design of First Stage Engine

AIAA SCITECH 2026 Forum
Lucandrea Mancini, Giacomo Della Posta, Matteo Bernardini, Agostino Neri   +3 more
openaire   +1 more source