F-SIFT and FUZZY-RVM based efficient multi-temporal image segmentation approach for remote sensing applications. - R. M. Swarna Priya; Sevugan Prabu; V. S. Dharun (Autom. Control. Comput. Sci., 2016)

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)

A deep neural networks based model for uninterrupted marine environment monitoring. - G. Thippa Reddy; R. M. Swarna Priya; Parimala M.; Chiranji Lal Chowdhary; M. Praveen Kumar Reddy; Saqib Hakak; Wazir Zada Khan (Comput. Commun., 2020)

Load balancing of energy cloud using wind driven and firefly algorithms in internet of everything. - R. M. Swarna Priya; Sweta Bhattacharya; Praveen Kumar Reddy Maddikunta; Siva Rama Krishnan Somayaji; Kuruva Lakshmanna; Rajesh Kaluri; Aseel Hussien; Thippa Reddy Gadekallu (J. Parallel Distributed Comput., 2020)

Fusion of Federated Learning and Industrial Internet of Things: A Survey. - Parimala M.; R. M. Swarna Priya; Quoc-Viet Pham; Kapal Dev; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu; Thien Huynh-The (CoRR, 2021)

Spatiotemporal-based sentiment analysis on tweets for risk assessment of event using deep learning approach. - Parimala M.; R. M. Swarna Priya; M. Praveen Kumar Reddy; Chiranji Lal Chowdhary; Ravi Kumar Poluru; Suleman Khan 003 (Softw. Pract. Exp., 2021)

Fusion of Federated Learning and Industrial Internet of Things: A survey. - M. Parimala Boobalan; Swarna Priya Ramu; Quoc-Viet Pham; Kapal Dev; Sharnil Pandya; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu; Thien Huynh-The (Comput. Networks, 2022)

Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions. - Mamoun Alazab; R. M. Swarna Priya; Parimala M.; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu; Quoc-Viet Pham (IEEE Trans. Ind. Informatics, 2022)

Autonomous vehicles in 5G and beyond: A survey. - Saqib Hakak; Thippa Reddy Gadekallu; Praveen Kumar Reddy Maddikunta; Swarna Priya Ramu; Parimala M.; Chamitha de Alwis; Madhusanka Liyanage (Veh. Commun., 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)

IncepV3Dense: Deep Ensemble Based Average Learning Strategy for Identification of Micro-Nutrient Deficiency in Banana Crop. - Sudhakar Muthusamy; Swarna Priya Ramu (IEEE Access, 2024)

The Metaverse for Cognitive Health: A Paradigm Shift. - Swarna Priya Ramu; Gautam Srivastava 001; Rajeswari Chengoden; Nancy Victor; Praveen Kumar Reddy Maddikunta; Thippa Reddy Gadekallu (IEEE Consumer Electron. Mag., 2024)

Parkinson's disease detection and stage classification: quantitative gait evaluation through variational mode decomposition and DCNN architecture. - Balaji E.; Elumalai Vinodh Kumar; Dhanasekaran Sandhiya; R. M. Swarna Priya; S. P. Shantharajah (Connect. Sci., 2024)

DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detection of Diseases in Cocos Nucifera. - Miit Daga; Dhriti Parikh; Swarna Priya Ramu (IEEE Access, 2025)

Statistical Validation in Cultural Adaptations of Cognitive Tests: A Multi- Regional Systematic Review. - Miit Daga; Priyasha Mohanty; Ram Krishna; R. M. Swarna Priya (CoRR, 2025)