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)

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)

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)