Raghavendra Kune

According to our database, Raghavendra Kune authored at least 8 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Quantum Processing in Fusion of SAR and Optical Images for Deep Learning: A Data-Centric Approach.

Sathwik Reddy Majji, Avinash Chalumuri, Raghavendra Kune, B. S. Manoj

IEEE Access, 2022

2021

A hybrid classical-quantum approach for multi-class classification.

Avinash Chalumuri, Raghavendra Kune, B. S. Manoj

Quantum Inf. Process., 2021

Quantum-enhanced deep neural network architecture for image scene classification.

Avinash Chalumuri, Raghavendra Kune, S. Kannan, B. S. Manoj

Quantum Inf. Process., 2021

2019

GPU PaaS Computation Model in Aneka Cloud Computing Environments.

Shashikant Ilager, Rajeev Wankar, Raghavendra Kune, Rajkumar Buyya

Proceedings of the Smart Data: State-of-the-Art Perspectives in Computing and Applications, 2019

2018

GPU PaaS Computation Model in Aneka Cloud Computing Environment.

Shashikant Ilager, Rajeev Wankar, Raghavendra Kune, Rajkumar Buyya

CoRR, 2018

2017

XHAMI - extended HDFS and MapReduce interface for Big Data image processing applications in cloud computing environments.

Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, Chillarige Raghavendra Rao, Rajkumar Buyya

Softw. Pract. Exp., 2017

2016

The anatomy of big data computing.

Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, C. Raghavendra Rao, Rajkumar Buyya

Softw. Pract. Exp., 2016

2014

Genetic Algorithm Based Data-Aware Group Scheduling for Big Data Clouds.

Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, Chillarige Raghavendra Rao, Rajkumar Buyya

Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014