Seguir
Dr. Lokesh Kumar Shrivastav
Dr. Lokesh Kumar Shrivastav
Assistant Professor, Department of Computer Science, ARSD College, University of Delhi, Delhi
Dirección de correo verificada de arsd.du.ac.in
Título
Citado por
Citado por
Año
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
442021
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
92022
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
92019
High-Frequency Stochastic Data Analysis Using a Machine Learning Framework: A Comparative Study
LK Shrivastav, R Kumar
Cognitive Computing Systems, 3-31, 2021
12021
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
12019
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–10