A Protocol Processing Architecture for Networked Multimedia Computers. - R. Gopalakrishnan; Andreas D. Bovopoulos (ACM SIGOPS Oper. Syst. Rev., 1993)

Quality of service support for protocol processing within endsystems. - R. Gopalakrishnan; Guru M. Parulkar (High-Speed Networking for Multimedia Applications, 1995)

A Framework for QoS Guarantees for Multimedia Applications within an Endsystem. - R. Gopalakrishnan; Guru M. Parulkar (GI Jahrestagung, 1995)

RMDP-a real-time CPU scheduling algorithm to provide QoS guarantees for protocol processing. - R. Gopalakrishnan; Guru M. Parulkar (IEEE Real Time Technology and Applications Symposium, 1995)

A Real-time Upcall Facility for Protocol Processing with QoS Guarantees. - R. Gopalakrishnan; Guru M. Parulkar (SOSP, 1995)

Bringing Real-Time Scheduling Theory and Practice Closer for Multimedia Computing. - R. Gopalakrishnan; Guru M. Parulkar (SIGMETRICS, 1996)

Efficient user-space protocol implementations with QoS guarantees using real-time upcalls. - R. Gopalakrishnan; Guru M. Parulkar (IEEE/ACM Trans. Netw., 1998)

TOPS: an architecture for telephony over packet networks. - Nikolaos Anerousis; R. Gopalakrishnan; Charles R. Kalmanek; Alexander E. Kaplan; William T. Marshall; Partho Pratim Mishra; Peter Z. Onufryk; Kadangode K. Ramakrishnan; Cormac J. Sreenan (IEEE J. Sel. Areas Commun., 1999)

A Simple Loss Differentiation Approach to Layered Multicast. - R. Gopalakrishnan; Jim Griffioen; Gísli Hjálmtýsson; Cormac J. Sreenan; Su Wen (INFOCOM, 2000)

Architectural Considerations for CPU and Network Interface Integration. - Charles D. Cranor; R. Gopalakrishnan; Peter Z. Onufryk (IEEE Micro, 2000)

Variable Resizing for Area Improvement in Behavioral Synthesis. - R. Gopalakrishnan; Rajat Moona (VLSI Design, 2005)

A medical analytical system using intelligent fuzzy level set brain image segmentation based on improved quantum particle swarm optimization. - R. Radha; R. Gopalakrishnan (Microprocess. Microsystems, 2020)

Enhanced Feature Fusion Segmentation for Tumor Detection Using Intelligent Techniques. - R. Radha; R. Gopalakrishnan (Intell. Autom. Soft Comput., 2023)

Employing Algorithms For Machine Learning, Anomalies in Automated Contexts Can Be Detected. - V. Indumathi; R. Gopalakrishnan; C. Vijayakumar; C. Manoj; K. Dhinesh; M. Madhan Kumar (ICCCNT, 2024)

Dynamic task offloading in edge computing for computer access point selection based on adaptive deep reinforcement learning with meta-heuristic optimization. - S. Vidya; R. Gopalakrishnan (Appl. Soft Comput., 2025)