Dr.Vinay Vakharia

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	Toate	Din 2020
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Pavan Kumar KankarProfessor, Department of Mechanical Engineering, IIT IndoreAdresă de e-mail confirmată pe iiti.ac.in
Milind ShahResearch Scholar, Jönköping University, JönköpingAdresă de e-mail confirmată pe ju.se
Keval BhavsarAditya Silver Oak Institute of TechnologyAdresă de e-mail confirmată pe silveroakuni.ac.in
Dr. Vishal Ashok WankhedeAssistant Professor, Indian Institute of Management (IIM), BodhGayaAdresă de e-mail confirmată pe iimbg.ac.in
Dr. Jay VoraAssistant Professor - Pandit Deendayal Energy UniversityAdresă de e-mail confirmată pe sot.pdpu.ac.in
Khaled Giasin, B.Sc, M.Sc, Ph.D, CEn...Senior Lecturer in Engineering Design, University of PortsmouthAdresă de e-mail confirmată pe port.ac.uk
Vivek K. PatelPandit Deendayal Energy University (Pandit Deendayal Petroleum University), GandhinagarAdresă de e-mail confirmată pe sot.pdpu.ac.in
Dhruvesh PatelPandit Deendayal Energy UniversityAdresă de e-mail confirmată pe sot.pdpu.ac.in
Szymon WojciechowskiPoznan University of TechnologyAdresă de e-mail confirmată pe put.poznan.pl
Ivano E. CastelliProfessor, Autonomous Materials Discovery, DTU EnergyAdresă de e-mail confirmată pe dtu.dk
Yogesh KumarWorld's Top 2% Scientist I Assistant ProfessorAdresă de e-mail confirmată pe sot.pdpu.ac.in
Dr. Jana ShafiLecturer, Department of Computer Engineering and Information,Prince Sattam bin Abdul Aziz UniversityAdresă de e-mail confirmată pe psau.edu.sa
Muhammad Fazal Ijaz, Worlds Top 2%...Lecturer at Melbourne Institute of Technology, Victoria, AustraliaAdresă de e-mail confirmată pe mit.edu.au
Vijay Kumar GuptaPofessor of Mechanical Engineering, PDPM IIITDM JabalpurAdresă de e-mail confirmată pe iiitdmj.ac.in

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Dr.Vinay Vakharia

Alte numeV Vakharia

Among World Top 2% Scientist 2024.Associate Professor,Pandit Deendayal Energy University Gandhinagar

Adresă de e-mail confirmată pe sot.pdpu.ac.in - Pagina de pornire

Explainable-AI Machine Learning Generative Adversarial Network Bearing Fault Diagnosis Tool


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
A multiscale permutation entropy based approach to select wavelet for fault diagnosis of ball bearings V Vakharia, VK Gupta, PK Kankar Journal of Vibration and Control 21 (16), 3123-3131, 2015	130	2015
A comparison of feature ranking techniques for fault diagnosis of ball bearing PKK V. Vakharia, V.K. Gupta Soft computing 20, 1601–1619, 2016	123	2016
Prediction of compressive strength and portland cement composition using cross-validation and feature ranking techniques V Vakharia, R Gujar Construction and Building Materials 225, 292-301, 2019	97	2019
Efficient fault diagnosis of ball bearing using ReliefF and Random Forest classifier V Vakharia, VK Gupta, PK Kankar Journal of the Brazilian Society of Mechanical Sciences and Engineering 39 …, 2017	72	2017
Ball bearing fault diagnosis using supervised and unsupervised machine learning methods V Vakharia, VK Gupta, PK Kankar Int J Acoust Vib 20 (4), 244-250, 2015	70	2015
Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models M Shah, V Vakharia, R Chaudhari, J Vora, DY Pimenov, K Giasin The International Journal of Advanced Manufacturing Technology 121 (1), 723-736, 2022	68	2022
Estimation of lithium-ion battery discharge capacity by integrating optimized explainable-AI and stacked LSTM model V Vakharia, M Shah, P Nair, H Borade, P Sahlot, V Wankhede Batteries 9 (2), 125, 2023	67	2023
Bearing fault diagnosis using feature ranking methods and fault identification algorithms V Vakharia, VK Gupta, PK Kankar Procedia Engineering 144, 343-350, 2016	56	2016
Detection of compound faults in ball bearings using multiscale-SinGAN, heat transfer search optimization, and extreme learning machine V Suthar, V Vakharia, VK Patel, M Shah Machines 11 (1), 29, 2022	47	2022
Experimental investigations and prediction of WEDMed surface of Nitinol SMA using SinGAN and DenseNet deep learning model V Vakharia, J Vora, S Khanna, R Chaudhari, M Shah, DY Pimenov, ... journal of materials research and technology 18, 325-337, 2022	44	2022
Fault severity classification of ball bearing using SinGAN and deep convolutional neural network P Akhenia, K Bhavsar, J Panchal, V Vakharia Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2022	44	2022
Prediction and validation of alternative fillers used in micro surfacing mix-design using machine learning techniques R Gujar, V Vakharia Construction and Building Materials 207, 519-527, 2019	44	2019
Bandgap prediction of metal halide perovskites using regression machine learning models V Vakharia, IE Castelli, K Bhavsar, A Solanki Physics Letters A 422, 127800, 2022	43	2022
AI‐driven digital twin model for reliable lithium‐ion battery discharge capacity predictions P Nair, V Vakharia, M Shah, Y Kumar, M Woźniak, J Shafi, M Fazal Ijaz International Journal of Intelligent Systems 2024 (1), 8185044, 2024	42	2024
A comparative study to predict bearing degradation using discrete wavelet transform (DWT), tabular generative adversarial networks (TGAN) and machine learning models K Bhavsar, V Vakharia, R Chaudhari, J Vora, DY Pimenov, K Giasin Machines 10 (3), 176, 2022	42	2022
Hybrid perovskites thin films morphology identification by adapting multiscale-SinGAN architecture, heat transfer search optimized feature selection and machine learning algorithms V Vakharia, M Shah, V Suthar, VK Patel, A Solanki Physica Scripta 98 (2), 025203, 2023	37	2023
Enhancing tool wear prediction accuracy using Walsh–Hadamard transform, DCGAN and dragonfly algorithm-based feature selection M Shah, H Borade, V Sanghavi, A Purohit, V Wankhede, V Vakharia Sensors 23 (8), 3833, 2023	34	2023
Texture Classification of Machined Surfaces Using Image Processing and Machine Learning Techniques MBK Dhiren R Patel, Vinay Vakharia FME Transaction 47 (4), 865-872, 2019	32	2019
Modeling and prediction of surface roughness using multiple regressions: A noncontact approach DR Patel, MB Kiran, V Vakharia Engineering Reports 2 (2), e12119, 2020	31	2020
Surface Roughness Prediction of Machined Components Using Gray Level Co-occurrence Matrix and Bagging Tree. DR Patel, H Thakker, MB Kiran, V Vakharia FME Transactions 48 (2), 2020	30	2020

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