Anupallavi S

According to our database, Anupallavi S authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Federated learning with hybrid differential privacy for secure and reliable cross-IoT platform knowledge sharing.

Osamah Ibrahim Khalaf, Ashokkumar S. R, Sameer Algburi, Anupallavi S, Dhanasekaran Selvaraj, Mhd Saeed Sharif, Wael Elmedany

Secur. Priv., 2024

Energy Management System of Luminosity Controlled Smart City Using IoT.

R. Sathesh Raaj, S. Vijayprasath, Ashokkumar S. R, Anupallavi S, S. M. Vijayarajan

EAI Endorsed Trans. Energy Web, 2024

2023

Scalable and Energy Efficient Cluster Based Anomaly Detection Against Denial of Service Attacks in Wireless Sensor Networks.

M. Premkumar, Ashokkumar S. R, V. Jeevanantham, MohanBabu G, Anupallavi S

Wirel. Pers. Commun., April, 2023

Quantifying Functional Connectivity Network Through Synchronization and Graph Theory Approaches for Seizure Prediction.

Ashokkumar S. R, M. Premkumar, Anupallavi S, V. Jeevanantham, MohanBabu G, A. Selvapandian

Wirel. Pers. Commun., March, 2023

2022

Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals.

Ashokkumar S. R, Anupallavi S, MohanBabu G, M. Premkumar, V. Jeevanantham

Int. J. Imaging Syst. Technol., 2022

2021

Implementation of deep neural networks for classifying electroencephalogram signal using fractional S-transform for epileptic seizure detection.

Ashokkumar S. R, Anupallavi S, M. Premkumar, V. Jeevanantham

Int. J. Imaging Syst. Technol., 2021

2020

A KSOM based neural network model for classifying the epilepsy using adjustable analytic wavelet transform.

Ashokkumar S. R, MohanBabu G, Anupallavi S

Multim. Tools Appl., 2020

A novel two-band equilateral wavelet filter bank method for an automated detection of seizure from EEG signals.

Ashokkumar S. R, MohanBabu G, Anupallavi S

Int. J. Imaging Syst. Technol., 2020