Sugumaran Vaithiyanathan

According to our database, Sugumaran Vaithiyanathan authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of eight.
• Erdős number of seven.

2025

Can tire wear be detected using vibration signals?-an experimental study.

Chennai Viswanathan Prasshanth, Sugumaran Vaithiyanathan

Int. J. Syst. Assur. Eng. Manag., May, 2025

A stacking ensemble classification model for determining the state of nitrogen-filled car tires.

Viraj Chetan Shah, Naveen Venkatesh Sridharan, Sugumaran Vaithiyanathan, Anoop Prabhakaranpillai Sreelatha, Manju Bhaskarapanicker Radha

J. Intell. Syst., 2025

2024

Tire wear monitoring using feature fusion and CatBoost classifier.

Chennai Viswanathan Prasshanth, Sugumaran Vaithiyanathan

Artif. Intell. Rev., November, 2024

Ensemble-based deep learning model for welding defect detection and classification.

Vinod Vasan, Naveen Venkatesh Sridharan, Rebecca Jeyavadhanam Balasundaram, Sugumaran Vaithiyanathan

Eng. Appl. Artif. Intell., 2024

Fault diagnosis of monoblock centrifugal pumps using pre-trained deep learning models and scalogram images.

Chennai Viswanathan Prasshanth, Naveen Venkatesh Sridharan, Tapan Kumar Mahanta, Nanjagoundenpalayam Ramasamy Sakthivel, Sugumaran Vaithiyanathan

Eng. Appl. Artif. Intell., 2024

2023

Tire Condition Monitoring Using Transfer Learning-Based Deep Neural Network Approach.

Vinod Vasan, Naveen Venkatesh Sridharan, Anoop Prabhakaranpillai Sreelatha, Sugumaran Vaithiyanathan

Sensors, February, 2023