Medical image security enhancement using two dimensional chaotic mapping optimized by self-adaptive grey wolf algorithm. - Srinivas Koppu; V. Madhu Viswanatham (Evol. Intell., 2018)

EC-ElGamal and Genetic Algorithm-Based Enhancement for Lightweight Scalable Blockchain in IoT Domain. - J. Guruprakash; Srinivas Koppu (IEEE Access, 2020)

Deep learning disease prediction model for use with intelligent robots. - Srinivas Koppu; Praveen Kumar Reddy Maddikunta; Gautam Srivastava 001 (Comput. Electr. Eng., 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)

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)

Hand gesture recognition based on a Harris Hawks optimized Convolution Neural Network. - Thippa Reddy Gadekallu; Gautam Srivastava 001; Madhusanka Liyanage; Iyapparaja Meenakshisundaram; Chiranji Lal Chowdhary; Srinivas Koppu; Praveen Kumar Reddy Maddikunta (Comput. Electr. Eng., 2022)

Fusion of Blockchain, IoT and Artificial Intelligence - A Survey. - Srinivas Koppu; Kumar K; Siva Rama Krishnan Somayaji; Iyapparaja Meenakshisundaram; Weizheng Wang 001; Chunhua Su (IEICE Trans. Inf. Syst., 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)

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., 2022)

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 001; Mufti Mahmud; Thippa Reddy Gadekallu (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Enhancing Breast Cancer Classification in Histopathological Images through Federated Learning Framework. - Jyothi Peta; Srinivas Koppu (IEEE Access, 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)

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., 2023)

A Multi-Objective Derived Adaptive TransDeepLabv3 Using Electric Fish Optimization Algorithm for Aerial Image Semantic Segmentation. - P. Anilkumar; Dimitar Tokmakov; P. Venugopal; Srinivas Koppu; Nevena Mileva; Anna Bekyarova-Tokmakova (IEEE Access, 2024)

A Framework for Platform-Agnostic Blockchain and IoT Based Insurance System. - J. Guruprakash; Dimitar Tokmakov; L. B. Krithika; Srinivas Koppu; R. Srinivasa Perumal; Anna Bekyarova-Tokmakova; Mihail Milev (IEEE Access, 2024)

Industry 5.0 in Smart Education: Concepts, Applications, Challenges, Opportunities, and Future Directions. - Supriya Y; Bhulakshmi Dasari; Sweta Bhattacharya; Thippa Reddy Gadekallu; Pratik S. Vyas; Rajesh Kaluri; Sumathy S; Srinivas Koppu; David J. Brown 001; Mufti Mahmud (IEEE Access, 2024)

Explainable Soft Attentive EfficientNet for breast cancer classification in histopathological images. - Jyothi Peta; Srinivas Koppu (Biomed. Signal Process. Control., 2024)