| Evaluation of surface roughness by vision system MB Kiran, B Ramamoorthy, V Radhakrishnan International journal of machine tools and manufacture 38 (5-6), 685-690, 1998 | 151 | 1998 |
| Modeling of surface roughness and the role of debris in micro-EDM MPS Krishna Kiran, SS Joshi | 49 | 2007 |
| Evaluation of 3D surface roughness parameters of EDM components using vision system DM Shivanna, MB Kiran, SD Kavitha Procedia Materials Science 5, 2132-2141, 2014 | 40 | 2014 |
| A non-contact approach for surface roughness prediction in CNC turning using a linear regression model DR Patel, MB Kiran Materials Today: Proceedings 26, 350-355, 2020 | 30 | 2020 |
| Texture classification of machined surfaces using image processing and machine learning techniques DR Patel, V Vakharia, MB Kiran FME Transactions 47 (4), 865-872, 2019 | 28 | 2019 |
| Investigation of friction stir processing effect on AA 2014-T6 VSSKRK Jacob John, S.P. Shanmuganatan, M.B. Kiran International Journal of Materials and Manufacturing Processes, 2018 | 26* | 2018 |
| 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 |
| Effect of tool geometry on microstructure and mechanical Properties of friction stir processed AA2024-T351 aluminium alloy J John, SP Shanmughanatan, MB Kiran Materials Today: Proceedings 5 (1), 2965-2979, 2018 | 17 | 2018 |
| Measurement and analysis of tool wear using vision system S Mehta, RA Singh, Y Mohata, MB Kiran 2019 IEEE 6th International Conference on Industrial Engineering and …, 2019 | 13 | 2019 |
| Vision based prediction of surface roughness for end milling DR Patel, MB Kiran Materials Today: Proceedings 44, 792-796, 2021 | 12 | 2021 |
| Non-contact surface roughness measurement using laser speckle technique DR Patel, MB Kiran IOP Conference Series: Materials Science and Engineering 895 (1), 012007, 2020 | 11 | 2020 |
| Influence and Optimization of Input Parameters on Mechanical Properties of Friction Stir Processed AA 2014-T6 MBK Jacob John,S.P Shanmuganatan Materials Today: Proceedings 5, 25458–25467, 2018 | 11 | 2018 |
| Synthesis and Characterization of Tin (IV) Complexes of Biologically Active Thiosemicarbazones Kiran, RV Singh, JP Tandon Synthesis and Reactivity in Inorganic and Metal-Organic Chemistry 16 (10 …, 1986 | 10 | 1986 |
| Experimental analysis on relationship between roughness parameters and texture features of 6082T6 sandblasted components DR Patel, MB Kiran Materials Today: Proceedings 18, 3008-3016, 2019 | 8 | 2019 |
| Friction stir processing combined with incremental forming effect on AA2014-T6 J John, SP Shanmuganatan, MB Kiran, VS Senthil Kumar, ... Materials and Manufacturing Processes 36 (8), 950-966, 2021 | 6 | 2021 |
| Analyzing the effects of machining parameters on surface roughness of machined surfaces using vision system DM Shivanna, MB Kiran, GS Venkatesh, SD Kavitha Materials Today: Proceedings 47, 4885-4890, 2021 | 6 | 2021 |
| Minimum zone tolerance algorithm to detect roundness error for machined rods using vision system K Kshaurad, MB Kiran, SP Shanmuganatan Materials Today: Proceedings 46, 5997-6003, 2021 | 6 | 2021 |
| The Internet of Things in the Corporate Environment: Cross-Industry Perspectives and Implementation Issues MB Kiran, MG Wynn Handbook of Research on Digital Transformation, Industry Use Cases, and the …, 2022 | 5 | 2022 |
