Scalogram based prediction model for respiratory disorders using optimized convolutional neural networks. - S. Jayalakshmy; Gnanou Florence Sudha (Artif. Intell. Medicine, 2020)

Conditional GAN based augmentation for predictive modeling of respiratory signals. - S. Jayalakshmy; Gnanou Florence Sudha (Comput. Biol. Medicine, 2021)

GTCC-based BiLSTM deep-learning framework for respiratory sound classification using empirical mode decomposition. - S. Jayalakshmy; Gnanou Florence Sudha (Neural Comput. Appl., 2021)

Bayesian optimized GoogLeNet based respiratory signal prediction model from empirically decomposed gammatone visualization. - S. Jayalakshmy; B. Lakshmipriya; Gnanou Florence Sudha (Biomed. Signal Process. Control., 2023)

Wasserstein generative adversarial network for cough signal augmentation using modified discrete cosine transform representation. - B. Lakshmipriya; S. Jayalakshmy; Saraswathi D. (Biomed. Signal Process. Control., 2025)