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 001 (IEEE Access, 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 001 (IEEE Access, 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)

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)

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 001; Marlon Burbano-Fernandez (Future Gener. Comput. Syst., 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)

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)

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)

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)

Diagnosis of breast cancer for modern mammography using artificial intelligence. - R. Karthiga; Kumaravelu Narasimhan; Rengarajan Amirtharajan (Math. Comput. Simul., 2022)

Automated diagnosis of breast cancer from ultrasound images using diverse ML techniques. - R. Karthiga; Kumaravelu Narasimhan (Multim. Tools Appl., 2022)

Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction. - M. Renugadevi; Kumaravelu Narasimhan; Chinthaginjala Venkata Ravikumar; Rajesh Anbazhagan; Giovanni Pau 002; Kannan Ramkumar; Mohamed Abbas; N. Raju; Kaveripaka Sathish; Prabu Sevugan (IEEE Access, 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)

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 002; Kumar Satish; Rengarajan Amirtharajan; Mohamed Abbas (Multim. Tools Appl., 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., 2024)

Review of AI & XAI-based breast cancer diagnosis methods using various imaging modalities. - R. Karthiga; Kumaravelu Narasimhan; V. Thanikaiselvan; M. Hemalatha; Rengarajan Amirtharajan (Multim. Tools Appl., 2025)

Automatic approach for breast cancer detection based on deep belief network using histopathology images. - R. Karthiga; Kumaravelu Narasimhan; N. Raju; Rengarajan Amirtharajan (Multim. Tools Appl., 2025)