Synergic deep learning model-based automated detection and classification of brain intracranial hemorrhage images in wearable networks. - C. S. S. Anupama; M. Sivaram 001; E. Laxmi Lydia; Deepak Gupta 002; K. Shankar 002 (Pers. Ubiquitous Comput., 2022)

Surveillance Video-Based Object Detection by Feature Extraction and Classification Using Deep Learning Architecture. - Elvir Akhmetshin; Sevara Sultanova; C. S. S. Anupama; Kollati Vijaya Kumar; E. Laxmi Lydia (FICTA (2), 2023)

Prediction of Sepsis Disease Using Random Search to Optimize Hyperparameter Tuning Based on Lazy Predict Model. - E. Laxmi Lydia; Sara A. Althubiti; C. S. S. Anupama; Kollati Vijaya Kumar (FICTA (2), 2023)

Sand Cat Swarm Optimization with Deep Transfer Learning for Skin Cancer Classification. - C. S. S. Anupama; Saud Yonbawi; G. Jose Moses; E. Laxmi Lydia; Seifedine Kadry 001; Jungeun Kim (Comput. Syst. Sci. Eng., 2023)

Feature Fusion Based Deep Transfer Learning Based Human Gait Classification Model. - C. S. S. Anupama; Rafina Zakieva M. Ilayaraja; Afanasiy Sergin; E. Laxmi Lydia; Seifedine Nimer Kadry; Chomyong Kim; Yunyoung Nam (Intell. Autom. Soft Comput., 2023)

Leveraging Cyberattack News Tweets for Advanced Threat Detection and Classification Using Ensemble of Deep Learning Models With Wolverine Optimization Algorithm. - Sripada Nsvsc Ramesh; Bader Mohammed M. Al Fardan; C. S. S. Anupama; Kollati Vijaya Kumar; Seongsoo Cho; Srijana Acharya; Cheolhee Yoon (IEEE Access, 2025)