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ORCIDKumaravelu Narasimhan
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2020 – today
- 2024
[j14]R. Karthiga, Kumaravelu Narasimhan, Ravikumar Chinthaginjala, Rajesh Anbazhagan, Manikandan Chinnusamy
, Giovanni Pau, Kumar Satish, Rengarajan Amirtharajan, Mohamed Abbas:
A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features. Multim. Tools Appl. 83(24): 65441-65467 (2024)- 2023
- [j13]S. Saravanan, Kannan Ramkumar, Kumaravelu Narasimhan, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ajith Abraham:
Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson's Disease Based on Spiral and Wave Drawings. IEEE Access 11: 68366-68378 (2023) - [j12]M. Renugadevi, Kumaravelu Narasimhan, Chinthaginjala Venkata Ravikumar, Rajesh Anbazhagan, Giovanni Pau, Kannan Ramkumar, Mohamed Abbas, N. Raju, Kaveripaka Sathish, Prabu Sevugan:
Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction. IEEE Access 11: 120868-120880 (2023) - 2022
- [j11]R. Karthiga, Kumaravelu Narasimhan, Rengarajan Amirtharajan:
Diagnosis of breast cancer for modern mammography using artificial intelligence. Math. Comput. Simul. 202: 316-330 (2022) - [j10]R. Karthiga, Kumaravelu Narasimhan:
Automated diagnosis of breast cancer from ultrasound images using diverse ML techniques. Multim. Tools Appl. 81(21): 30169-30193 (2022) - 2021
- [j9]R. Karthiga, Kumaravelu Narasimhan:
Medical imaging technique using curvelet transform and machine learning for the automated diagnosis of breast cancer from thermal image. Pattern Anal. Appl. 24(3): 981-991 (2021) - 2020
- [j8]Jiatong Wang, Tiantian Zhu, Shan Liang, R. Karthiga, Kumaravelu Narasimhan, Elamaran Vellaiappan:
Binary and Multiclass Classification of Histopathological Images Using Machine Learning Techniques. J. Medical Imaging Health Informatics 10(9): 2252-2258 (2020) - [j7]Enas W. Abdulhay, Elamaran Vellaiappan, M. Chandrasekar, V. S. Balaji, Kumaravelu Narasimhan:
Automated diagnosis of epilepsy from EEG signals using ensemble learning approach. Pattern Recognit. Lett. 139: 174-181 (2020)
2010 – 2019
- 2019
- [j6]G. Rajkumar, R. Jayabharathy, Kumaravelu Narasimhan, N. Raju, M. Easwaran, Elamaran Vellaiappan, Gustavo Ramírez-González, Marlon Burbano-Fernandez:
Spectral and SNR improvement analysis of normal and abnormal heart sound signals using different windows. Future Gener. Comput. Syst. 92: 438-443 (2019) - [j5]Dong-Wei Liu, Run-Ping Jia, Cai-Feng Wang, Arunkumar N., Kumaravelu Narasimhan, M. Udayakumar, Elamaran Vellaiappan:
Automated detection of cancerous genomic sequences using genomic signal processing and machine learning. Future Gener. Comput. Syst. 98: 233-237 (2019) - [j4]Tao Shen, Yukari Nagai, M. Udayakumar, Kumaravelu Narasimhan, R. K. Arvind Shriram, N. Mohanraj, Elamaran Vellaiappan:
Automated Genomic Signal Processing for Diseased Gene Identification. J. Medical Imaging Health Informatics 9(6): 1254-1261 (2019) - 2018
- [j3]G. Bagyalakshmi, G. Rajkumar, Arunkumar N., M. Easwaran, Kumaravelu Narasimhan, Elamaran Vellaiappan, Mario Solarte Sarasty, Ivan Hernandez, Gustavo Ramírez-González:
Network Vulnerability Analysis on Brain Signal/Image Databases Using Nmap and Wireshark Tools. IEEE Access 6: 57144-57151 (2018) - [j2]Jiajie Liu, Kumaravelu Narasimhan, Elamaran Vellaiappan, Arunkumar N., Mario Solarte Sarasty, Gustavo Ramírez-González:
Clinical Decision Support System for Alcoholism Detection Using the Analysis of EEG Signals. IEEE Access 6: 61457-61461 (2018) - [j1]Enas W. Abdulhay, Arunkumar N., Kumaravelu Narasimhan, Elamaran Vellaiappan, Venkatraman V.:
Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease. Future Gener. Comput. Syst. 83: 366-373 (2018)
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