| 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 | 121 | 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 | 93 | 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 | 69 | 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 | 58 | 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 | 57 | 2015 |
| Bearing fault diagnosis using feature ranking methods and fault identification algorithms V Vakharia, VK Gupta, PK Kankar Procedia Engineering 144, 343-350, 2016 | 49 | 2016 |
| 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 | 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 | 36 | 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 | 35 | 2019 |
| 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 | 31 | 2023 |
| 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 | 31 | 2022 |
| 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 | 31 | 2022 |
| 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 | 30 | 2022 |
| 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 | 29 | 2022 |
| Diagnosis of bearing faults using multi fusion signal processing techniques and mutual information V Dave, S Singh, V Vakharia NISCAIR-CSIR, India, 2020 | 29 | 2020 |
| 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 | 28 | 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 | 25 | 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), 468-475, 2020 | 24 | 2020 |
| Feature extraction and classification of machined component texture images using wavelet and artificial intelligence techniques V Vakharia, MB Kiran, NJ Dave, U Kagathara 2017 8th International Conference on Mechanical and Aerospace Engineering …, 2017 | 22 | 2017 |
| Application of chi square feature ranking technique and random forest classifier for fault classification of bearing faults V Vinay, GV Kumar, KP Kumar Proceedings of the 22th international congress on sound and vibration …, 2015 | 21 | 2015 |
Pavan Kumar KankarProfessor, Department of Mechanical Engineering, IIT IndoreVerified email at iiti.ac.in
