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power world fault analysis
Tide level forecasting using GRU, LSTM and biLSTM.
1DCNN Fault Detection(1DCNN的轴承故障诊断)
Reference : Lowrie, W. 2007. Fundamental of Geophysics. Cambridge University Press, p. 330-332.
Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.
Geomagnetically Induced Currents Hazard Analysis Using MT Impedances
Acycle: Time-series analysis software for research and education
Anomaly Detection and Classification in Multispectral Time Series based on Hidden Markov Models
AdaptiveLASSO.m is a Matlab package able to distinguish meaningful level shifts from typical signal fluctuations
Analysis of Voltage Sag on Transmission Systems Under Fault Conditions
Auroral Electrojet AE-index read and plot.
Adding Adaptive Fouriour Decompostion to n-beats
I performed data cleaning, wrangling, exploring, providing summary statistics and interesting visualisations on a public utility data containing millions of rows and tens of files in structured format. The datasets is an African Food Production Dataset
MATLAB codes using the FT-based method, omitting the magnitude information, applying optimization, and AI methods are developed.
A repository for code risk analysis, bug prediction, software fault detection, software vulnerability detection, Quality analysis.
Probabilistic Forecasting Model to Predict Air Pollution Days
Code and Data repository for the paper titled "Enhancing PM2.5 Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model"
Code and Data repository for the paper titled "An IoT enabled system for enhanced air quality monitoring and prediction on the edge"
Fault detection in refrigeration systems implementing PCA-RBFN (Principal Component Analysis - Radial Basis Function Neural Network)
Analogue Enseble forecast code for predicting geomagnetic activity in the aaH index.
session from datahour
The disturbance storm time (Dst) index is a measure in the context of space weather. It gives information about the strength of the ring current around Earth caused by solar protons and electrons. This Project aims at analyzing the Disturbance storm time(DST) index using a web tool and then making useful insights and visualizations on the DST index over the last several years.
The following repository has the code files which shows anomaly detection, currently on time series data.
This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.
Supervised machine learning project that involves data preprocessing, built and trained LSTM Autoencoder, plotted Metrics & Evaluated the Model and finally detected Anomalies in the S&P 500 Index Data
Anomaly Detection in Time Series Data using unsupervised clustering algorithms.
Anomaly detection during the production process and Predictive maintenance to prevent the faults from happening applied on industrial devices. Project for Mamagement and Analysis of Physics Dataset, module B, AY 2021/22, UniPD.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.