Classification of Radio signals from outer space using CNN
Classification of Radio signals from outer space using CNN
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Classification Radio frequency waves detected from outer space given in SETI Dataset. Built a CNN with keras sequential model to work on spectrograms obtained from signals.
Non-linear chaotic system time series forecasting by ANN, RNN, LSTM
Non-linear chaotic system time series forecasting by ANN, RNN, LSTM
Implementing ANN and LSTM architectures to learn the chaotic dynamics of Lorentz attractor, Rosseler system, multi frequency periodic signal forecasting, Double pendulum trajectory forecasting.
Feature Engineering: Human activity classification based on mobile accelerometer data
Feature Engineering: Human activity classification based on mobile accelerometer data
Used the WISDM human activity datasets to implement different classification algorithms in python, Apache Spark.
Used different feature extraction techniques such as DFT, statistical paramters of the signal such as mean variance std, crest factor, form factor, peak width etc.
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