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-psa-faultanalysis

power world fault analysis

003-tide-level-forecasting

Tide level forecasting using GRU, LSTM and biLSTM.

1dcnn_fault_detection

1DCNN Fault Detection（1DCNN的轴承故障诊断）

2d-geomagnetic-forward-modelling

Reference : Lowrie, W. 2007. Fundamental of Geophysics. Cambridge University Press, p. 330-332.

a-clustering-event-detection-approach-for-non-intrusive-load-monitoring

a-domain-adaption-transfer-learning-bearing-fault-diagnosis-model-based-on-wide-convolution-deep-neu

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.

a-study-of-solar-wind-data-during-geomagnetic-storms

abgic

Geomagnetically Induced Currents Hazard Analysis Using MT Impedances

acycle

Acycle: Time-series analysis software for research and education

ad-hmm

Anomaly Detection and Classification in Multispectral Time Series based on Hidden Markov Models

adalasso.m

AdaptiveLASSO.m is a Matlab package able to distinguish meaningful level shifts from typical signal fluctuations

advanced-methods-in-power-systems

Analysis of Voltage Sag on Transmission Systems Under Fault Conditions

aeindex

Auroral Electrojet AE-index read and plot.

afdn-beats

Adding Adaptive Fouriour Decompostion to n-beats

african-food-production-eda

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

ai-beamforming

MATLAB codes using the FT-based method, omitting the magnitude information, applying optimization, and AI methods are developed.

ai-models-for-bug-prediction

A repository for code risk analysis, bug prediction, software fault detection, software vulnerability detection, Quality analysis.

air-quality-probabilistic-forecasting-model-

Probabilistic Forecasting Model to Predict Air Pollution Days

airquality-narx-cnn-lstm

Code and Data repository for the paper titled "Enhancing PM2.5 Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model"

airquality-narx-edge

Code and Data repository for the paper titled "An IoT enabled system for enhanced air quality monitoring and prediction on the edge"

algorithms-implementation

Fault detection in refrigeration systems implementing PCA-RBFN (Principal Component Analysis - Radial Basis Function Neural Network)

analogueensemble

Analogue Enseble forecast code for predicting geomagnetic activity in the aaH index.

analysis-on-current-flow-style-for-vehicle-alternator-fault-prediction

analyticsvidhya

session from datahour

analyzing-dst-index

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.

anamoly-detection

The following repository has the code files which shows anomaly detection, currently on time series data.

anomaliesdetection-with-timeseriesanalysis

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.

anomaly-detection

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-1

Anomaly Detection in Time Series Data using unsupervised clustering algorithms.

anomaly-detection-and-predictive-maintenance-for-industrial-devices

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.