A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in India LK Shrivastav, SK Jha Applied Intelligence 51, 2727-2739, 2021 | 44 | 2021 |
An Ensemble of Random Forest Gradient Boosting Machine and Deep Learning Methods for Stock Price Prediction R Kumar, LK Shrivastav Journal of Information Technology Research (JITR) 15 (1), 1-19, 2022 | 9 | 2022 |
An empirical analysis of stock market price prediction using arima and svm LK Shrivastav, R Kumar 2019 6th International Conference on Computing for Sustainable Global …, 2019 | 9 | 2019 |
High-Frequency Stochastic Data Analysis Using a Machine Learning Framework: A Comparative Study LK Shrivastav, R Kumar Cognitive Computing Systems, 3-31, 2021 | 1 | 2021 |
A novel approach towards the analysis of stochastic high frequency data analysis using ARIMA model L Kumar Shrivastav, R Kumar International Journal of Information Systems & Management Science 2 (2), 2019 | 1 | 2019 |
Empirical analysis of impact of weather and air pollution parameters on COVID-19 spread and control in India using Machine Learning Algorithm LK Shrivastav, R Kumar Wireless Personal Communications 130 (3), 1963-1991, 2023 | | 2023 |
Adaptive trio-ensemble deep neural network for high-frequency stock price prediction LK Srivastav, R KUMAR | | 2022 |
Gradient Boosting Machine and Deep Learning Approach in Big Data Analysis: A Case Study of the Stock Market R Kumar, LK Shrivastav Journal of Information Technology Research (JITR) 15 (1), 1-20, 2022 | | 2022 |
Converting Thought to Speech Using Deep Learning Algorithms RK A. Puri, L. Shrivastav International Conference on Computing for Sustainable Global Development, 2018 | | 2018 |
Application of Neural Network in Information Retrieval AK Verma, LK Shrivastav, R Prasad, N Kumar, A Rajpal, SK Verma | | |