[深度应用]·DC竞赛轴承故障检测开源Baseline（基于Keras1D卷积 val_acc:0.99780）

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".

1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

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.

Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution

Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.

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.

PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis" by Wang et al.

Myocardial Infarction Detection

Source codes of paper "Can We Use Split Learning on 1D CNN for Privacy Preserving Training?"

Classification models 1D Zoo - Keras and TF.Keras

Heart Sound Segmentation And Classification | Kaggle Competition

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.

Classifier for detection and prediction of the type of MI or NORM from 12-lead ECG beats.

1 Dimensional Convolutional Neural Network for Iris dataset classification

Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)

Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO

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

IDH and TERTp mutation classification in gliomas using 1D-CNN with MRS data.