AdityaGirishPawate / Time-series-classification-using-1-D-CNNsLinks
This project is on how to Develop 1D Convolutional Neural Network Models for Human Activity Recognition Below is an example video of a subject performing the activities while their movement data is being recorded. The six activities performed were as follows: Walking Walking Upstairs Walking Downstairs Sitting Standing Laying The movement da…
☆12Updated 5 years ago
Alternatives and similar repositories for Time-series-classification-using-1-D-CNNs
Users that are interested in Time-series-classification-using-1-D-CNNs are comparing it to the libraries listed below
Sorting:
- 1D CNN to do classification☆10Updated 7 years ago
- Adaptive Variational Nonlinear Chirp Mode Decomposition☆28Updated 3 years ago
- Independent component analysis for dimensionality reduction of hyperspectral images☆14Updated 5 years ago
- Wavelet CNN, Texture Classification in Keras☆54Updated 3 years ago
- Code tu use learnable wavelet transforms like L-WPT and DeSPaWN methods in pytorch☆32Updated 2 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆27Updated 5 years ago
- This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existin…☆11Updated 2 years ago
- Multivariate Multiscale Dispersion Entropy of Biomedical Times Series☆18Updated 3 years ago
- Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM☆14Updated 5 months ago
- An semi-supervised extension based on VAE for Regression, demonstrate its performance on two soft sensor benchmark problems.☆24Updated 2 years ago
- Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors☆23Updated 3 years ago
- Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classificati…☆12Updated 4 years ago
- 使用代码前请先阅读readme.txt☆11Updated 5 years ago
- Implementation of Wavelet Transform layer for denoising.☆24Updated 6 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆16Updated 2 years ago
- An open software for automatic landslide susceptibility analysis☆10Updated last month
- Feature fusion using Discriminant Correlation Analysis (DCA)☆65Updated 5 years ago
- R peak detection in ECGs using stationary wavelet transform☆12Updated 6 years ago
- Multimodal biometric signal feature extraction☆19Updated 3 years ago
- Variance discrepancy representation☆12Updated last year
- BILSTM，GRU，LSTM☆17Updated last year
- “Detecting an object in an area based on the command given through speech using MFCC and HMM for Speech \& HOG and SVM for Image as Featu…☆12Updated 8 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
- A Python library for temporal disaggregation of time series data☆20Updated 7 months ago
- Code for KDD 2025 paper "FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification"☆24Updated 5 months ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆73Updated 4 years ago
- A deep learning framework for fault diagnositcs with PyTorch☆51Updated 5 years ago
- The code implementation of our paper "Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction", GRSL, 2019☆15Updated 4 years ago
- This repository contains the code and information for the paper "UAV-Enhanced Combination to Application: Comprehensive Analysis and Benc…☆16Updated last year
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆11Updated 4 years ago