Narrendar RaviChandran

According to our database, Narrendar RaviChandran authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Optimal evolutionary framework-based activation function for image classification.

Luca Parisi, Ciprian-Daniel Neagu, Narrendar RaviChandran, Renfei Ma, Felician Campean

Knowl. Based Syst., 2024

Towards Clinical AI Fairness: Filling Gaps in the Puzzle.

Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu

CoRR, 2024

2023

Modeling the excitation of nerve axons under transcutaneous stimulation.

Narrendar RaviChandran, James Hope, Kean C. Aw, Andrew McDaid

Comput. Biol. Medicine, October, 2023

Conformable Electrode Arrays for Wearable Neuroprostheses.

Narrendar RaviChandran, Mei Ying Teo, Andrew McDaid, Kean C. Aw

Sensors, March, 2023

2022

Body-Powered and Portable Soft Hydraulic Actuators as Prosthetic Hands.

Sivakumar Kandasamy, Mei Ying Teo, Narrendar RaviChandran, Andrew McDaid, Krishnan Jayaraman, Kean C. Aw

Robotics, 2022

Syncretic Feature Selection for Machine Learning-Aided Prognostics of Hepatitis.

Luca Parisi, Narrendar RaviChandran

Neural Process. Lett., 2022

Neuroevolutionary intelligent system to aid diagnosis of motor impairments in children.

Matteo Lanzillotta, Renfei Ma, Marcella Accardi, Narrendar RaviChandran, Amir Zaernia, Mansour Youseffi, Luca Parisi

Appl. Intell., 2022

2020

Characterizing the Motor Points of Forearm Muscles for Dexterous Neuroprostheses.

Narrendar RaviChandran, Kean C. Aw, Andrew McDaid

IEEE Trans. Biomed. Eng., 2020

Evolutionary Denoising-Based Machine Learning for Detecting Knee Disorders.

Luca Parisi, Narrendar RaviChandran

Neural Process. Lett., 2020

A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis.

Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog

Neural Comput. Appl., 2020

Evolutionary feature transformation to improve prognostic prediction of hepatitis.

Luca Parisi, Narrendar RaviChandran

Knowl. Based Syst., 2020

hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras.

Luca Parisi, Renfei Ma, Narrendar RaviChandran, Matteo Lanzillotta

CoRR, 2020

2019

Electrophysiologically-identified motor points of forearm muscles.

Narrendar RaviChandran, Kean C. Aw, Andrew McDaid

Dataset, September, 2019

2018

Decision support system to improve postoperative discharge: A novel multi-class classification approach.

Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog

Knowl. Based Syst., 2018

Feature-driven machine learning to improve early diagnosis of Parkinson's disease.

Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog

Expert Syst. Appl., 2018