eLife

Spyglass: a framework for reproducible and shareable neuroscience research

Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...
IEEE

Distributed Vehicle Back Propagation Neural Network Cooperative Positioning Method With Fireworks Algorithm

Abstract: This In the context of autonomous driving within vehicular networks, the accuracy of vehicle positioning is crucial for smooth operation. However, single navigation systems, such as ...
eLife

Multimodal MRI Marker of Cognition Explains the Association Between Cognition and Mental Health in UK Biobank

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...
IEEE

Back Propagation Neural Network Based Positional Positive Solution for Wave Compensation Device

Abstract: In this paper, a method for solving the kinematic positive solution of a wave compensation device based on a rope traction parallel mechanism using a BP neural network is proposed. By using ...
GitHub

Physics-Informed Neural Network (PINN) for Error-Corrected Finite Difference Energy Balance in 1D Hydraulic Fracture Propagation

This repository contains the implementation of a Physics-Informed Neural Network (PINN)-Enhanced Finite Difference Method (FDM) for modeling energy balance in hydraulic fracture propagation. The ...
GitHub

MKDPINN: Meta Learning and Knowledge Discovery-Based Physics-Informed Neural Networks

MKDPINN is a novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Networks (PINNs). This repository contains the code ...