| A knowledge based system for automated design of deep drawing die for axisymmetric parts V Naranje, S Kumar Expert Systems with Applications 41 (4), 1419-1431, 2014 | 79 | 2014 |
| A knowledge based system for selection of components of deep drawing die V Naranje, S Kumar American Journal of Intelligent Systems 2 (2), 1-11, 2012 | 27 | 2012 |
| Design of tracking system for prefabricated building components using RFID technology and CAD model V Naranje, R Swarnalatha Procedia Manufacturing 32, 928-935, 2019 | 25 | 2019 |
| Optimization of factory layout design using simulation tool V Naranje, PV Reddy, BK Sharma 2019 IEEE 6th International Conference on Industrial Engineering and …, 2019 | 18 | 2019 |
| AI applications to metal stamping die design–A review V Naranje, S Kumar International Journal of Industrial and Manufacturing Engineering 4 (8), 721-727, 2010 | 15 | 2010 |
| Prediction of life of deep drawing die using artificial neural network V Naranje, S Kumar, S Kashid, A Ghodke, HMA Hussein Advances in Materials and Processing Technologies 2 (1), 132-142, 2016 | 13 | 2016 |
| A knowledge–based system for strip–layout design for progressive deep drawing dies V Naranje, S Kumar International journal of computer applications in technology 48 (3), 222-234, 2013 | 11 | 2013 |
| An intelligent CAD system for automatic modelling of deep drawing die V Naranje, S Kumar International journal of computer applications in technology 48 (4), 330-344, 2013 | 10 | 2013 |
| Intelligent traffic system for sustainable mobility M Ziyad, V Naranje, S Suresh, VP Mishra, S Salunkhe 2021 International Conference on Computational Intelligence and Knowledge …, 2021 | 9 | 2021 |
| Cement strength prediction using cloud-based machine learning techniques N Kumar, V Naranje, S Salunkhe Journal of Structural Integrity and Maintenance 5 (4), 244-251, 2020 | 9 | 2020 |
| Finite element simulation and Experimental verification of Incremental Sheet metal Forming KK Yanamundra, R Karthikeyan, V Naranje IOP Conference Series: Materials Science and Engineering 346 (1), 012075, 2018 | 9 | 2018 |
| A knowledge-based system for manufacturability assessment of deep drawn sheet metal parts V Naranje, S Kumar Key Engineering Materials 473, 749-756, 2011 | 9 | 2011 |
| Knowledge-based system for design of deep drawing die for axisymmetric parts V Naranje, S Kumar AI Applications in Sheet Metal Forming, 93-119, 2017 | 8 | 2017 |
| A knowledge based system for cost estimation of deep drawn parts V Naranje, S Kumar, HMA Hussein Procedia Engineering 97, 2313-2322, 2014 | 8 | 2014 |
| A knowledge based system for process planning of axisymmetric deep drawn parts V Naranje, S Kumar Key Engineering Materials 549, 239-246, 2013 | 8 | 2013 |
| Computer aided system for parametric design of combination die VG Naranje, HMA Hussein, S Kumar IOP Conference Series: Materials Science and Engineering 244 (1), 012022, 2017 | 7 | 2017 |
| Design of deep drawing die: an expert system approach N Vishal, K Shailendra Journal of Manufacturing Engineering 6 (2), 099-105, 2011 | 7 | 2011 |
| Selection of blends of ethanol with petrol for SI engine using TOPSIS and VIKOR methods AG Kamble, VA Bhosale, VG Naranje Journal of Physics: Conference Series 2178 (1), 012037, 2022 | 6 | 2022 |
| Tracking vehicles through GPS module and Arduino UNO A Anil, VK Shukla, V Naranje 2021 9th International Conference on Reliability, Infocom Technologies and …, 2021 | 6 | 2021 |
| A Low Cost Knowledge Base System Framework for Design of Deep Drawing Die V Naranje, S Kumar International Journal of Industrial and Manufacturing Engineering 4 (12 …, 2010 | 6 | 2010 |
