Srinivas Koppu

According to our database, Srinivas Koppu authored at least 13 papers between 2018 and 2023.

Collaborative distances:

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

2023

Digital Twins for Healthcare 4.0 - Recent Advances, Architecture, and Open Challenges.

Mamoun Alazab, Latif U. Khan, Srinivas Koppu, Swarna Priya Ramu, Iyapparaja Meenakshisundaram, M. Parimala Boobalan, Thar Baker, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Ahamed Aljuhani

IEEE Consumer Electron. Mag., November, 2023

Remora Namib Beetle Optimization Enabled Deep Learning for Severity of COVID-19 Lung Infection Identification and Classification Using CT Images.

Amgothu Shanthi, Srinivas Koppu

Sensors, 2023

Enhancing Breast Cancer Classification in Histopathological Images through Federated Learning Framework.

Jyothi Peta, Srinivas Koppu

IEEE Access, 2023

Towards Smart Education in the Industry 5.0 Era: A Mini Review on the Application of Federated Learning.

Sweta Bhattacharya, Pratik S. Vyas, Supriya Yarradoddi, Bhulakshmi Dasari, Sumathy S, Rajesh Kaluri, Srinivas Koppu, David J. Brown, Mufti Mahmud, Thippa Reddy Gadekallu

Proceedings of the IEEE Intl Conf on Dependable, 2023

2022

High-performance Edwards curve aggregate signature (HECAS) for nonrepudiation in IoT-based applications built on the blockchain ecosystem.

Guruprakash Jayabalasamy, Srinivas Koppu

J. King Saud Univ. Comput. Inf. Sci., November, 2022

An empirical study to demonstrate that EdDSA can be used as a performance improvement alternative to ECDSA in Blockchain and IoT.

J. Guruprakash, Srinivas Koppu

Informatica (Slovenia), 2022

Fusion of Blockchain, IoT and Artificial Intelligence - A Survey.

Srinivas Koppu, Kumar K, Siva Rama Krishnan Somayaji, Iyapparaja Meenakshisundaram, Weizheng Wang, Chunhua Su

IEICE Trans. Inf. Syst., 2022

Hand gesture recognition based on a Harris Hawks optimized Convolution Neural Network.

Thippa Reddy Gadekallu, Gautam Srivastava, Madhusanka Liyanage, Iyapparaja Meenakshisundaram, Chiranji Lal Chowdhary, Srinivas Koppu, Praveen Kumar Reddy Maddikunta

Comput. Electr. Eng., 2022

2020

An efficient image system-based grey wolf optimiser method for multimedia image security using reduced entropy-based 3D chaotic map.

Srinivas Koppu, V. Madhu Viswanatham

Int. J. Comput. Aided Eng. Technol., 2020

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture.

R. M. Swarna Priya, Praveen Kumar Reddy Maddikunta, Parimala M., Srinivas Koppu, Thippa Reddy Gadekallu, Chiranji Lal Chowdhary, Mamoun Alazab

Comput. Commun., 2020

Deep learning disease prediction model for use with intelligent robots.

Srinivas Koppu, Praveen Kumar Reddy Maddikunta, Gautam Srivastava

Comput. Electr. Eng., 2020

EC-ElGamal and Genetic Algorithm-Based Enhancement for Lightweight Scalable Blockchain in IoT Domain.

J. Guruprakash, Srinivas Koppu

IEEE Access, 2020

2018

Medical image security enhancement using two dimensional chaotic mapping optimized by self-adaptive grey wolf algorithm.

Srinivas Koppu, V. Madhu Viswanatham

Evol. Intell., 2018