1. Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends
2. S. Arunkumar , G. Sriram , and C. Gnanadesikan . 2020. A review of covid 19 in Tamilnadu with regression and correlation co-efficient . Materials Today: Proceedings(2020) . https://doi.org/10.1016/j.matpr. 2020 .10.777 10.1016/j.matpr.2020.10.777 S. Arunkumar, G. Sriram, and C. Gnanadesikan. 2020. A review of covid 19 in Tamilnadu with regression and correlation co-efficient. Materials Today: Proceedings(2020). https://doi.org/10.1016/j.matpr.2020.10.777
3. Improved Analysis of Stock Market Prediction: (ARIMA-LSTM-SMP)
4. Kyunghyun Cho Bart van Merrienboer Caglar Gulcehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. arXiv:arXiv:1406.1078 Kyunghyun Cho Bart van Merrienboer Caglar Gulcehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. arXiv:arXiv:1406.1078
5. An interactive web-based dashboard to track COVID-19 in real time