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Deep learning in time series analysis

Code for the paper: "TSViz: Demystification of Deep Learning Models for Time-Series Analysis"

Deep learning on multi-channel time series classification (medical data)

● Work on the project “LANDSLIDE FORECASTING SYSTEM” with Dr. Varun Dutt, an Associate Prof of IIT MANDI. ● My task was to implement various Deep Learning Time Series Forecasting models and apply Ensemble Learning to improve prediction.

This project seeks to utilize the Deep Learning model, Long-Short Term Memory (LSTM) Neural Network algorithm, Time Series Models, ARIMA and FBProphet to predict stock prices.

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

Financial time series analysis and prediction have become an important area of re- search in today's world. Designing and pricing securities, construction of portfolios and other risk management strategies depends on the prediction of financial time se- ries. A financial time series often involve... Read more

This project attempts to identify nine different faults and the healthy condition based on vibrational dataset of bearings. For this purpose, the original time series signals are transformed into 2D wavelet maps. Due to few number of wavelet maps, a pretrained convolutional network (VGG16) is tra... Read more

Source code of paper: Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect

Deep learning models for classifying ECG time series