Kumaravelu Narasimhan

According to our database, Kumaravelu Narasimhan authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated Sleep Disorder Diagnosis Utilising EMG & EOG with Bi-LSTM Model and a Novel Reconfigurable Filter bank.

B. Keerthana, Kumaravelu Narasimhan, N. Raju, Rengarajan Amirtharajan

Wirel. Pers. Commun., November, 2024

A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features.

R. Karthiga, Kumaravelu Narasimhan, Ravikumar Chinthaginjala, Rajesh Anbazhagan, Manikandan Chinnusamy, Giovanni Pau, Kumar Satish, Rengarajan Amirtharajan, Mohamed Abbas

Multim. Tools Appl., July, 2024

2023

Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson's Disease Based on Spiral and Wave Drawings.

S. Saravanan, Kannan Ramkumar, Kumaravelu Narasimhan, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ajith Abraham

IEEE Access, 2023

Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction.

M. Renugadevi, Kumaravelu Narasimhan, Chinthaginjala Venkata Ravikumar, Rajesh Anbazhagan, Giovanni Pau, Kannan Ramkumar, Mohamed Abbas, N. Raju, Kaveripaka Sathish, Prabu Sevugan

IEEE Access, 2023

2022

Automated diagnosis of breast cancer from ultrasound images using diverse ML techniques.

R. Karthiga, Kumaravelu Narasimhan

Multim. Tools Appl., 2022

Diagnosis of breast cancer for modern mammography using artificial intelligence.

R. Karthiga, Kumaravelu Narasimhan, Rengarajan Amirtharajan

Math. Comput. Simul., 2022

2021

Medical imaging technique using curvelet transform and machine learning for the automated diagnosis of breast cancer from thermal image.

R. Karthiga, Kumaravelu Narasimhan

Pattern Anal. Appl., 2021

2020

Automated diagnosis of epilepsy from EEG signals using ensemble learning approach.

Enas W. Abdulhay, Elamaran Vellaiappan, M. Chandrasekar, V. S. Balaji, Kumaravelu Narasimhan

Pattern Recognit. Lett., 2020

Binary and Multiclass Classification of Histopathological Images Using Machine Learning Techniques.

Jiatong Wang, Tiantian Zhu, Shan Liang, R. Karthiga, Kumaravelu Narasimhan, Elamaran Vellaiappan

J. Medical Imaging Health Informatics, 2020

2019

Automated Genomic Signal Processing for Diseased Gene Identification.

Tao Shen, Yukari Nagai, M. Udayakumar, Kumaravelu Narasimhan, R. K. Arvind Shriram, N. Mohanraj, Elamaran Vellaiappan

J. Medical Imaging Health Informatics, 2019

Spectral and SNR improvement analysis of normal and abnormal heart sound signals using different windows.

G. Rajkumar, R. Jayabharathy, Kumaravelu Narasimhan, N. Raju, M. Easwaran, Elamaran Vellaiappan, Gustavo Ramírez-González, Marlon Burbano-Fernandez

Future Gener. Comput. Syst., 2019

Automated detection of cancerous genomic sequences using genomic signal processing and machine learning.

Dong-Wei Liu, Run-Ping Jia, Cai-Feng Wang, Arunkumar N., Kumaravelu Narasimhan, M. Udayakumar, Elamaran Vellaiappan

Future Gener. Comput. Syst., 2019

2018

Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease.

Enas W. Abdulhay, Arunkumar N., Kumaravelu Narasimhan, Elamaran Vellaiappan, Venkatraman V.

Future Gener. Comput. Syst., 2018

Clinical Decision Support System for Alcoholism Detection Using the Analysis of EEG Signals.

Jiajie Liu, Kumaravelu Narasimhan, Elamaran Vellaiappan, Arunkumar N., Mario Solarte Sarasty, Gustavo Ramírez-González

IEEE Access, 2018

Network Vulnerability Analysis on Brain Signal/Image Databases Using Nmap and Wireshark Tools.

G. Bagyalakshmi, G. Rajkumar, Arunkumar N., M. Easwaran, Kumaravelu Narasimhan, Elamaran Vellaiappan, Mario Solarte Sarasty, Ivan Hernandez, Gustavo Ramírez-González

IEEE Access, 2018