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Vishal Naranje
Vishal Naranje
Associate Prof. Amity University Dubai
Verified email at amityuniversity.ae
Title
Cited by
Cited by
Year
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
832014
Design of tracking system for prefabricated building components using RFID technology and CAD model
V Naranje, R Swarnalatha
Procedia Manufacturing 32, 928-935, 2019
312019
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
272012
Optimization of factory layout design using simulation tool
V Naranje, PV Reddy, BK Sharma
2019 IEEE 6th International Conference on Industrial Engineering and …, 2019
192019
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
152010
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
132016
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
112021
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
112013
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
102013
A knowledge-based system for manufacturability assessment of deep drawn sheet metal parts
V Naranje, S Kumar
Key Engineering Materials 473, 749-756, 2011
102011
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
92022
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
92020
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
92018
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
92017
A knowledge based system for cost estimation of deep drawn parts
V Naranje, S Kumar, HMA Hussein
Procedia Engineering 97, 2313-2322, 2014
92014
3D printing of plant fiber reinforced polymer composites (PFRC’s): an insight into methods, challenges and opportunities
S Salunkhe, AP Murali, H Mohammed Abdel Moneam, V Naranje, ...
Polymer-Plastics Technology and Materials 62 (6), 816-838, 2023
82023
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
82017
A knowledge based system for process planning of axisymmetric deep drawn parts
V Naranje, S Kumar
Key Engineering Materials 549, 239-246, 2013
82013
Tracking vehicles through GPS module and Arduino UNO
A Anil, VK Shukla, V Naranje
2021 9th International Conference on Reliability, Infocom Technologies and …, 2021
72021
Real-time face recognition: A survey
Y Gupta, A Prasad, S Touti, K Sachdev, V Jaiswal, V Naranje
2021 International Conference on Computational Intelligence and Knowledge …, 2021
72021
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