A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data. - V. P. Jayachitra; S. Nivetha; R. Nivetha; R. Harini (Biomed. Signal Process. Control., 2021)

An Efficient Steganalysis of Medical Images by Using Deep Learning Based Discrete Scalable Alex Net Convolutionary Neural Networks Classifier. - J. Hemalatha; S. Geetha 001; Sekar Mohan; S. Nivetha (J. Medical Imaging Health Informatics, 2021)

Neighborhood Rough Neural Network Approach for COVID-19 Image Classification. - S. Nivetha; H. Hannah Inbarani (Neural Process. Lett., 2022)

Redefining the World of Medical Image Processing with AI - Automatic Clinical Report Generation to Support Doctors. - Narayana Darapaneni; Anwesh Reddy Paduri; B. S. Sunil Kumar; S. Nivetha; Varadharajan Damotharan; Suman Sourabh; S. R. Abhishek; V. Albert Princy (MIWAI, 2023)

Novel Adaptive Histogram Binning-Based Lesion Segmentation for Discerning Severity in COVID-19 Chest CT Scan Images. - S. Nivetha; H. Hannah Inbarani (Int. J. Sociotechnology Knowl. Dev., 2023)

Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images. - S. Nivetha; H. Hannah Inbarani (Int. J. Sociotechnology Knowl. Dev., 2023)

Novel Architecture for Image Classification Based on Rough Set. - S. Nivetha; H. Hannah Inbarani (Int. J. Serv. Sci. Manag. Eng. Technol., 2023)

Safeguarding Audio Integrity: Ensemble Architectures for Real-World Fake Audio Identification. - Soundarya Lahari Kasturi; S. Nivetha; B. Selva Rani; S. Vairamuthu; Sourabh Tiwari; Devendra Yadav; Rashmi T. Shankarappa (ICCCNT, 2024)