Aswathy Madhu

Orcid: 0009-0002-3568-9269

According to our database1, Aswathy Madhu authored at least 11 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
VLCMine: Visible Light Vital Monitoring System in RF-Constrained Mines.
IEEE Access, 2026

2024
Nature's Early Warning System: Exploring the Role of Animal Behavior in Predicting Natural Disasters.
Proceedings of the OITS International Conference on Information Technology, 2024

2023
RQNet: Residual Quaternion CNN for Performance Enhancement in Low Complexity and Device Robust Acoustic Scene Classification.
IEEE Trans. Multim., 2023

Blockchain enabled Shared Mobility for Sustainable Transportation.
Proceedings of the Fifth ACM International Workshop on Blockchain-enabled Networked Sensor Systems, 2023

2022
AtResNet: Residual Atrous CNN with Multi-scale Feature Representation for Low Complexity Acoustic Scene Classification.
Circuits Syst. Signal Process., 2022

EnvGAN: a GAN-based augmentation to improve environmental sound classification.
Artif. Intell. Rev., 2022

EHTNet: Twin-pooled CNN with Empirical Mode Decomposition and Hilbert Spectrum for Acoustic Scene Classification.
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

2021
EnvGAN: Adversarial Synthesis of Environmental Sounds for Data Augmentation.
CoRR, 2021

SiamNet: Siamese CNN Based Similarity Model for Adversarially Generated Environmental Sounds.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2019
IoT Based Solar Power Monitor & Controller for Village Electrification.
Proceedings of the 9th International Symposium on Embedded Computing and System Design, 2019

Data Augmentation Using Generative Adversarial Network for Environmental Sound Classification.
Proceedings of the 27th European Signal Processing Conference, 2019


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