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Dr. Anoop Prabhakaranpillai Sreelatha
Dr. Anoop Prabhakaranpillai Sreelatha
Other namesDr. Anoop P S
Associate Professor, Department of Mechanical Engineering, Providence College of Engineering
Verified email at providence.edu.in
Title
Cited by
Cited by
Year
Classifying machine learning features extracted from vibration signal with logistic model tree to monitor automobile tyre pressure
PS Anoop, V Sugumaran
Structural Durability & Health Monitoring 11 (2), 191, 2017
162017
Implementing K-star algorithm to monitor tyre pressure using extracted statistical features from vertical wheel hub vibrations
PS Anoop, V Sugumaran, HM Praveen
Indian Journal of Science and Technology 9 (47), 1-7, 2016
162016
Enhanced tyre pressure monitoring system for nitrogen filled tyres using deep learning
AB Muturatnam, NV Sridharan, AP Sreelatha, S Vaithiyanathan
Machines 11 (4), 434, 2023
92023
Tire condition monitoring using transfer learning-based deep neural network approach
V Vasan, NV Sridharan, A Prabhakaranpillai Sreelatha, S Vaithiyanathan
Sensors 23 (4), 2177, 2023
82023
Comparative study on different balancing conditions of an air filled tyre using statistical features and classification via regression algorithm
PS Anoop, V Sugumaran
IOP Conference Series: Materials Science and Engineering 1012 (1), 012031, 2021
62021
Influence of Unbalance on Classification Accuracy of Tyre Pressure Monitoring System Using Vibration Signals
VS P. S. Anoop, Pranav Nair
Structural Durability & Health Monitoring 15 (3), 261-279, 2021
52021
The influence of tyre balancing in nitrogen filled tyres using statistical features and random forest algorithm
VS P. S. ANOOP
International Journal of Mechanical and Production Engineering Research and …, 2020
52020
Photovoltaic module fault detection based on deep learning using cloud computing
S Naveen Venkatesh, P Arun Balaji, G Chakrapani, K Annamalai, ...
Scientific Programming 2023 (1), 8805817, 2023
42023
Tyre pressure monitoring system using statistical analysis and rotation forest algorithm
VS Anoop P.S
PAKISTAN JOURNAL OF BIOTECHNOLOGY 15 ((Special Issue ICRAME 17)), 36-39, 2018
42018
Analyzing vertical vibrations of automobile wheel hub to monitor tyre pressure using statistical features and support vector machine algorithm
HMP Anoop P S , V Sugumaran
PAKISTAN JOURNAL OF BIOTECHNOLOGY 15 (Special Issue ICRAME 17), 10-13, 2018
32018
Tyre Pressure Monitoring System Using Machine Learning Approaches – A Review
HMP Anoop.P.S, V Sugumaran
International Journal of Control Theory and Applications 9 (Number 51), 371-382, 2017
2*2017
Monitoring the condition of nitrogen-filled tires using weightless neural networks
A Rattan, N Venkatesh S, V Sugumaran, PS Anoop
Automatika 65 (2), 523-537, 2024
12024
Application of feature fusion strategy for monitoring the condition of nitrogen filled tires using tree family of classifiers
H Parihar, SN Venkatesh, PS Anoop, V Sugumaran
Physica Scripta 99 (3), 035210, 2024
12024
Enhancing Tire Condition Monitoring through Weightless Neural Networks Using MEMS‐Based Vibration Signals
S Arora, S Naveen Venkatesh, V Sugumaran, ...
Journal of Engineering 2024 (1), 1321775, 2024
2024
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