iamownt / LSTM-DeepFMLinks
Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor
☆28Updated 3 years ago
Alternatives and similar repositories for LSTM-DeepFM
Users that are interested in LSTM-DeepFM are comparing it to the libraries listed below
Sorting:
- ☆27Updated 2 years ago
- Industrial process, Silicon content, molten iron quality (MIQ) prediction, soft sensor, deep learning, sintering process, blast furnace i…☆28Updated last year
- ☆92Updated 3 years ago
- Multi-mode Fault Diagnosis Datasets with TE process (MMFDD-TEP) can be used for the purpose of comparison studies or validation of algor…☆29Updated last year
- Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks☆40Updated 6 years ago
- Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional …☆37Updated last year
- EMD-VMD-TCN short-term load forecasting☆14Updated 2 years ago
- Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)☆25Updated 10 months ago
- Short-term Air Quality Prediction Based on EMD-Transformer-BiLSTM☆36Updated last year
- Soft sensor modelling using multiple machine learning algorithms☆24Updated 6 years ago
- Official codes for "Addressing Information Asymmetry: Deep Temporal Causality Discovery for Mixed Time Series" (TPAMI 2025)☆12Updated last month
- Official implementations of "Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery…☆21Updated last month
- Soft Sensor with Variational Inference Technique☆19Updated 9 months ago
- CEEMDAN-VMD-TCN-GRU&RF model☆13Updated last year
- Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"☆20Updated 5 years ago
- Adaptive Soft Sensors☆18Updated 6 years ago
- This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Tempora…☆62Updated last month
- Code for the paper Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting☆24Updated last year
- Air pollution prediction based on improved Informer model: a case study applied to the Yan'an city of China☆14Updated last year
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆19Updated 2 years ago
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆33Updated 3 years ago
- [IEEE TCYB 2024] Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Model Era☆60Updated 8 months ago
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆11Updated 3 months ago
- paper: Development of GCN-based soft sensor for quality prediction of process industry☆11Updated last year
- ☆12Updated last year
- Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.☆39Updated last year
- ☆100Updated last year
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆20Updated 5 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆67Updated 3 months ago