There are 7 repositories under cnn-lstm topic.
Bearing fault diagnosis model based on MCNN-LSTM
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM
Stock Price Prediction using CNN-LSTM
Using LSTM or Transformer to solve Image Captioning in Pytorch
A CNN-LSTM deep learning model for prognostic prediction and classification of Alzheimer's MRI neuroimages.
Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction
The project uses state of the art deep learning on collected data for automatic analysis of emotions.
Can chess engine use be detected just from the moves on the board? Let's try, using a CNN - LSTM architecture.
A personal trial to understand and simulate forest wildfire spreading from satellite data using Deep Learning (a model with a ConvLSTM layer).
Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-based wearable devices
Create a mid-price classifier for limit order books using a CNN and LSTM
A Multi-classification of chinese text with cnn-rnn model.
Chapter 6: Convolutional Neural Networks
The goal is to learn to generate the Scalable Vector Graphics (SVG) code correspondig to images of simple colored shapes. SVG is a markup language which is used to define vector graphics.
Predict the trajectory of the vehicles in HCM city streets with YOLOv7 + DeepSORT + CNN-LSTM/CNN-GRU.
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound
西南山区植被对水文气候变化的非线性响应量化研究,包括MODIS、GLDAS、Rs数据的预处理以及CNN-LSTM模型的搭建、训练和特征重要性分析.
CNN LSTM based video classification codes
An experimental project for autonomous vehicle driving perception with steering angle prediction and semantic segmentation using a combination of UNet, attention and transformers.
This work entails the usage of a novel hybrid deep transfer learning method for thermal comfort prediction in buildings with no or very little labelled data
This repository includes codes related to the detection of sinkholes using UNet and CNN-LSTM model.
Bangla News Article Categorization Using Conv-LSTM Net. It is a multi-class classification problem.
Deep learning models for classifying ECG time series
Deep learning techniques for detecting 6 types of hand movements from labeled dataset procured from Kaggle, Grasp-and-Lift EEG Detection.
CNN-LSTM暴力视频鉴别,CNN-LSTM Violent video identification
A Shared Task on Contextual Emotion Detection in Text (done in exactly two days; one before mid-eval and one before end-eval)
Based on a Hybrid CNN-LSTM Network, an automated predicitve algorithm is constructed.
Integrating CNN-LSTM Networks with Statistical Filtering Techniques for Optimizing IoT Intrusion Detection