S. Jayalakshmy

According to our database, S. Jayalakshmy authored at least 6 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of seven.
• Erdős number of six.

2026

Variational mode decomposition based prediction model for cough sounds using Xception-GRU classifier.

S. Jayalakshmy, B. Lakshmipriya

Comput. Biol. Medicine, 2026

2025

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

2023

Bayesian optimized GoogLeNet based respiratory signal prediction model from empirically decomposed gammatone visualization.

S. Jayalakshmy, B. Lakshmipriya, Gnanou Florence Sudha

Biomed. Signal Process. Control., September, 2023

2021

GTCC-based BiLSTM deep-learning framework for respiratory sound classification using empirical mode decomposition.

S. Jayalakshmy, Gnanou Florence Sudha

Neural Comput. Appl., 2021

Conditional GAN based augmentation for predictive modeling of respiratory signals.

S. Jayalakshmy, Gnanou Florence Sudha

Comput. Biol. Medicine, 2021

2020

Scalogram based prediction model for respiratory disorders using optimized convolutional neural networks.

S. Jayalakshmy, Gnanou Florence Sudha

Artif. Intell. Medicine, 2020