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ambujmishra0008

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Extracted statistical features of stator current signal at various fault and healthy states of Induction motor and implemented various deep learning classifier like ANN, CNN etc to classify the type of faults occurs.

Time-Series-Forcasting

In this repository i have implemented various Deep Learning multivariate and multiheaded time series forecasting models . Apart from that i have also uploaded the Ipython file of Grid_Search and Ensemble_Learning technique which i have implemented during my summer intern of IIT-Mandi(May 2019)

Jupyter Notebook

Electricity-Theft-Detection-

Here i used Ensemble of Two Convolutional Neural Network

Jupyter Notebook

Landslide-Forecasting-System

● 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.

Jupyter Notebook

Wind-Energy-Scenario-Generation-Using-ARIMA-Model

In this project i demonstrate the complete guide of ARIMA Model on the wind scenario forecasting dataset

Jupyter Notebook

Ship-and-Aircraft-Detection

Jupyter Notebook

IRIS-Classification-on-web

Python

ambujmishra0008/Deep-Learning-classifiers-for-Condition-Monitoring-of-Induction-Motor

ambujmishra0008

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