There are 2 repositories under 1d-cnn topic.
[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
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
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.
Source codes of paper "Can We Use Split Learning on 1D CNN for Privacy Preserving Training?"
Myocardial Infarction Detection
PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis" by Wang et al.
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.
Heart Sound Segmentation And Classification | Kaggle Competition
1 Dimensional Convolutional Neural Network for Iris dataset classification
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.
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
IDH and TERTp mutation classification in gliomas using 1D-CNN with MRS data.
Biendata astradata competition 1st place solution. (https://www.biendata.com/competition/astrodata2019/)
Predict the type of arrhythmia based on Electro-cardiogram (ECG) tool using machine learning models and algorithms.
Neural network -based thermal excess correction for resolved asteroid spectral radiances in near-infrared
Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO
Kaggle solution. Public repository for my 8th place solution to the Parkinson's Freezing of Gait competition.
Impulse Classification Network (ICN) for video Head Impulse Test
Contains code for Adaptive protection platform in Smart grids
Implemented Divide and Conquer-Based 1D CNN approach that identifies the static and dynamic activities separately. The final stacked model gave an accuracy of 93% without the test data sharpening process.
This repo contains code used to tackle Challenge I of AI Hackathon
Human Activity Recognition from Smartphone Data using Machine Learning and Sequential Deep Learning Techniques
Raw Audio End-to-End Deep Learning Architectures for Sound Event Detection
1D-CNN that predicts the direction of the EURUSD pair.
Hybrid Deep Learning Approach for Monthly Rainfall Prediction Using Endogenous property and global Climatic Indices
This research study employs a mixed-methods approach to analyze the global growth of Nigerian music, utilizing data from Spotify, UK Charts, and the Billboard Hot 100. Various data analysis techniques like descriptive statistics and sentiment analysis are applied, alongside predictive models like 1D CNN and Decision Trees.