Vijayakumar Polepally

According to our database, Vijayakumar Polepally authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Exponential Squirrel Search Algorithm-Based Deep Classifier for Intrusion Detection in Cloud Computing with Big Data Assisted Spark Framework.

Vijayakumar Polepally, Jagannadha Rao D. B., Parsi Kalpana, S. Nagendra Prabhu

Cybern. Syst., February, 2024

2023

Deep learning-based power prediction aware charge scheduling approach in cloud based electric vehicular network.

Balasubramaniam S., Mohammad Haider Syed, Nitin S. More, Vijayakumar Polepally

Eng. Appl. Artif. Intell., May, 2023

Deep recurrent neural network-based Hadoop framework for COVID prediction with applications to big data in cloud computing.

Jagannadha Rao D. B., Vijayakumar Polepally, S. Nagendra Prabhu, Parsi Kalpana

Int. J. Bio Inspired Comput., 2023

2022

Exponentially-spider monkey optimization based allocation of resource in cloud.

Parsi Kalpana, S. Nagendra Prabhu, Vijayakumar Polepally, Jagannadha Rao D. B.

Int. J. Intell. Syst., 2022

2021

A Deep Learning Approach for Prediction of Stock Price Based on Neural Network Models: LSTM and GRU.

Vijayakumar Polepally, N. Shiva Nandini Reddy, M. Sindhuja, N. Anjali, K. Jeevan Reddy

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2019

Dragonfly optimization and constraint measure-based load balancing in cloud computing.

Vijayakumar Polepally, K. Shahu Chatrapati

Clust. Comput., 2019

2018

DEGSA-VMM: Dragonfly-based exponential gravitational search algorithm to VMM strategy for load balancing in cloud computing.

Vijayakumar Polepally, K. Shahu Chatrapati

Kybernetes, 2018

Exponential gravitational search algorithm-based VM migration strategy for load balancing in cloud computing.

Vijayakumar Polepally, K. Shahu Chatrapati

Int. J. Model. Simul. Sci. Comput., 2018