GitHub

The toolkit for Simulation and Image Processing for Photonics and Acoustics (SIMPA)

SIMPA aims to facilitate realistic image simulation for optical and acoustic imaging modalities by providing adapters to crucial modelling steps, such as volume generation; optical modelling; acoustic ...
GitHub

Part-Aware LSTM implemented in TensorFlow

part-aware lstm is proposed in 《NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis》, which is used for skeleton-based action recognition. It splits the whole body into 5 body part context ...
C&EN

SOH Estimation Based on Multisource Feature Extraction and SSA-LSTM Algorithm

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
C&EN

A New Regularized Spatiotemporal Attention-Based LSTM with Application to Nitrogen Oxides Emission Prediction

State Key Laboratory of Process Automation in Mining and Metallurgy, Beijing 100160, China Beijing Key Laboratory of Process Automation in Mining and Metallurgy, Beijing 100160, China ...
Frontiers

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM

The constantly evolving human–machine interaction and advancement in sociotechnical systems have made it essential to analyze vital human factors such as mental workload, vigilance, fatigue, and ...
IEEE

Research on Power Load Forecasting Based on VMD-LSTM

Abstract: In order to more effectively exploit the latent features and hidden information in power load data, a combined prediction model based on variational modal decomposition (VMD) and long ...
Frontiers

A Deep Network Model on Dynamic Functional Connectivity With Applications to Gender Classification and Intelligence Prediction

Increasing evidence has suggested that the dynamic properties of functional brain networks are related to individual behaviors and cognition traits. However, current fMRI-based approaches mostly focus ...