ProfessorsProfessors of VIT UniversityDr. P S Anoop

Dr. P S Anoop

VIT University

H-index: 4

Asia-India

About Dr. P S Anoop

Dr. P S Anoop, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at VIT University, specializes in the field of Condition Monitoring, Machine Learning, Robotics, Deep Learning, Fault Diagnosis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Monitoring the condition of nitrogen-filled tires using weightless neural networks

Application of feature fusion strategy for monitoring the condition of nitrogen filled tires using tree family of classifiers

Tire condition monitoring using transfer learning-based deep neural network approach

Photovoltaic Module Fault Detection Based on Deep Learning Using Cloud Computing

Enhanced tyre pressure monitoring system for nitrogen filled tyres using deep learning

Effect of wheel balancing on tyre condition monitoring system using vibration signals through statistical features and machine learning techniques

Influence of Unbalance on Classification Accuracy of Tyre Pressure Monitoring System Using Vibration Signals

Comparative study on different balancing conditions of an air filled tyre using statistical features and classification via regression algorithm

Dr. P S Anoop Information

University	VIT University
Position	Research Scholar
Citations(all)	46
Citations(since 2020)	41
Cited By	9
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	2
i10Index(since 2020)	1
Email	Access Email
University Profile Page	VIT University
Google Scholar	View Google Scholar Profile

Dr. P S Anoop Skills & Research Interests

Condition Monitoring

Machine Learning

Robotics

Deep Learning

Fault Diagnosis

Top articles of Dr. P S Anoop

Title	Journal	Author(s)	Publication Date
Monitoring the condition of nitrogen-filled tires using weightless neural networks	Automatika	Avantika Rattan Naveen Venkatesh S V Sugumaran PS Anoop	2024/4/2
Application of feature fusion strategy for monitoring the condition of nitrogen filled tires using tree family of classifiers	Physica Scripta	Hrithik Parihar S Naveen Venkatesh PS Anoop V Sugumaran	2024/2/6
Tire condition monitoring using transfer learning-based deep neural network approach	Sensors	Vinod Vasan Naveen Venkatesh Sridharan Anoop Prabhakaranpillai Sreelatha Sugumaran Vaithiyanathan	2023/2/15
Photovoltaic Module Fault Detection Based on Deep Learning Using Cloud Computing	Scientific Programming	S Naveen Venkatesh P Arun Balaji Ganjikunta Chakrapani K Annamalai S Aravinth ...	2023/6/9
Enhanced tyre pressure monitoring system for nitrogen filled tyres using deep learning	Machines	Arun Balaji Muturatnam Naveen Venkatesh Sridharan Anoop Prabhakaranpillai Sreelatha Sugumaran Vaithiyanathan	2023/3/29
Effect of wheel balancing on tyre condition monitoring system using vibration signals through statistical features and machine learning techniques	Journal of Intelligent & Fuzzy Systems	PS Anoop V Sugumaran	2022/6/1
Influence of Unbalance on Classification Accuracy of Tyre Pressure Monitoring System Using Vibration Signals	Structural Durability & Health Monitoring	V. Sugumaran P. S. Anoop Pranav Nair	2021/9/7
Comparative study on different balancing conditions of an air filled tyre using statistical features and classification via regression algorithm	IOP Conference Series: Materials Science and Engineering	PS Anoop V Sugumaran	2021