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1. Liquidation-Strategy-Analysis-using-Multi-Agent-Deep-Reinforcement-Learning Liquidation-Strategy-Analysis-using-Multi-Agent-Deep-Reinforcement-Learning Public

   Modelling an auction as a multi-layer neural network and framing optimal auction design as a constrained learning problem. Extending Myerson’s work for single item case to multi-item and multi-bidd…

   Jupyter Notebook 9 2

2. Path-Loss-Prediction-in-Smart-Campus-Environment-using-Machine-Learning- Path-Loss-Prediction-in-Smart-Campus-Environment-using-Machine-Learning- Public

   Implemented various machine learning algorithms to calculate path loss of signals and concluded random forest as the best algorithm to predict path loss. Documentation for this research work has be…

   Python 4 1

3. Flight-Tracking-System-using-ADS-B-and-RTL-SDR Flight-Tracking-System-using-ADS-B-and-RTL-SDR Public

   Successfully decoded ADS-B signal with the help of vertically Polarized antenna attached with hardware dongle of software-defined radio.

   MATLAB 3

4. GCN_complex_detection GCN_complex_detection Public

   Jupyter Notebook 3 1

5. Performance-Analysis-of-Baseball-Players-on-Statcast-Data-Set Performance-Analysis-of-Baseball-Players-on-Statcast-Data-Set Public

   Compared home runs of two of baseball’s brightest stars, Aaron Judge and Giancarlo Stanton using Statcast data set which consists of precise locations and movements of baseballs and players

   Jupyter Notebook 2

6. Image-Scene-Graph-generation-using-Ontology Image-Scene-Graph-generation-using-Ontology Public

   Generated image scene graph using TensorFlow and Faster-RCNN and created our own data set for detecting suspicious activity in a parking lot.

   Shell 2 2