Unsupervised bin-wise pre-training: A fusion of information theory and hypergraph. - Anila Glory H.; Vigneswaran C.; V. S. Shankar Sriram (Knowl. Based Syst., 2020)

Stacked Dark COVID-Net: A Multi-class Multi-label Classification Approach for Diagnosing COVID-19 Using Chest X-Ray Images. - Anila Glory H.; S. Meghana; J. S. Kesav Kumar; V. S. Shankar Sriram (RTIP2R, 2021)

AHW-BGOA-DNN: a novel deep learning model for epileptic seizure detection. - Anila Glory H.; Vigneswaran C.; Sujeet S. Jagtap; R. Shruthi; G. Hariharan; V. S. Shankar Sriram (Neural Comput. Appl., 2021)

Silent Threats: Monitoring Insider Risks in Healthcare Sector. - P. Lavanya; V. S. Venkata Raman; S. Srinath Gosakan; Anila Glory H.; V. S. Shankar Sriram (ATIS, 2024)

Augmenting Security in Edge Devices: FPGA-Based Enhanced LEA Algorithm with S-Box and Chaotic Functions. - B. Sri Yugenther; Anila Glory H.; H. Naresh Kumar; R. Sivaraman; V. S. Shankar Sriram (ATIS, 2024)

Mitigating Insider Threat: A Neural Network Approach for Enhanced Security. - P. Lavanya; Anila Glory H.; V. S. Shankar Sriram (IEEE Access, 2024)

Entropy parameter optimization for epileptic seizure detection: A parallel approach. - Anila Glory H.; V. S. Shankar Sriram (Int. J. Knowl. Based Intell. Eng. Syst., 2025)