Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
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Updated
Mar 19, 2023 - Python
Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.
1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.
Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)
An attempt to forecast the upcoming cases for CoVID19 in India using 1D-CNN, LSTM and BRNN based model . The dataset has been taken from the Kaggle Competition https://www.kaggle.com/covid19
Kaggle solution. Public repository for my 8th place solution to the Parkinson's Freezing of Gait competition.
Source codes of paper "Can We Use Split Learning on 1D CNN for Privacy Preserving Training?"
Myocardial Infarction Detection
Our project considers various machine learning and deep learning techniques like CNN and RNN based on free-text keystroke features for user authentication. Moreover, we will develop a simple UI to test new users.
Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.
Predict the type of arrhythmia based on Electro-cardiogram (ECG) tool using machine learning models and algorithms.
Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO
PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis" by Wang et al.
This repo contains code used to tackle Challenge I of AI Hackathon
Classification models 1D Zoo - Keras and TF.Keras
Classifier for detection and prediction of the type of MI or NORM from 12-lead ECG beats.
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