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Dr Thomas Joseph

vidwan id: 560405
Male

Assistant Professor, Mechanical Engineering
JYOTHI ENGINEERING COLLEGE, CHERUTHURUTHY

Expertise

  • Mechanical Engineering

Publications

Total Articles 6
Books 0
Proceedings 0

Publications

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Scopus

Citations 1
h-index 1

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Professional Recognition

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Community & Membership

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International Association of Engineers

2022
Life Time

ISTE

2013
Life Time

Bio

Computer Aided Design, Application of AI techniques in Mechanical Systems.

Personal Details

  • Male
  • Assistant Professor , JYOTHI ENGINEERING COLLEGE, CHERUTHURUTHY
  • Jyothi Engineering College , Engineering College Road, Cheruthuruthi, Kerala, India
Ph. D
Other Institute 2025
M.E
Other Institute 2014
B.Tech
Other Institute 2011
Assistant Professor Feb 2023 – Present
JYOTHI ENGINEERING COLLEGE, CHERUTHURUTHY | Mechanical Engineering
Programme Officer Dec 2020 – Aug 2022
Jawaharlal College of Engineering & Technology, Mangalam
Assistant Professor Aug 2014 – Aug 2022
Jawaharlal College of Engineering & Technology, Mangalam
Lecturer Jul 2011 – Jul 2012
Jawaharlal College of Engineering & Technology, Mangalam

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Scholarly Work

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Scholarly Publications

Deep Learning Based Fault Diagnosis of Rolling Bearing Using Spectrogram and CWT Images of Vibration Data

Open Access
conference paper
Authors: Thomas Joseph., U Sudeep., K Keerthi Krishnan.

CycleGAN denoising of recurrence plots of rolling bearing vibration signals for improved fault classification

Open Access
article

An Improved Model of Stacked Short Time Fourier Transform and SqueezeNet Using Golden Jackal Algorithm for Rolling Bearing Fault Detection

Open Access
article
Authors: Thomas JOSEPH, Sudeep ULLATTIL, Keerthi Krishnan K

A Comparative Study of Rolling Bearing Fault Classification Using CWT-CNN and STFT-CNN Methods

Open Access
book chapter
Authors: Thomas Joseph., K Keerthi Krishnan., U Sudeep

A Comparative Study of Rolling Bearing Fault Classification Using CWT-CNN and STFT-CNN Methods

Open Access
Conference Paper
Authors: Joseph T.;Keerthi Krishnan K.;Sudeep U.

An Improved Rolling Bearing Fault Diagnosis Model of Long Short-Term Memory Network Based on VMD Denoised Vibration Signals

Open Access
Article