| Support vector machine–a large margin classifier to diagnose skin illnesses KS Parikh, TP Shah Procedia Technology 23, 369-375, 2016 | 86 | 2016 |
| Diagnosing common skin diseases using soft computing techniques KS Parikh, TP Shah, R Kota, R Vora International Journal of Bio-Science and Bio-Technology 7 (6), 275-286, 2015 | 30 | 2015 |
| Comparative study of ferrofluid lubricated various designed slider bearings considering rotation of magnetic particles and squeeze velocity RC Shah, KS Parikh International Journal of Theoretical and Mathematical Physics 4 (2), 63-72, 2014 | 8 | 2014 |
| Feature selection paradigm using weighted probabilistic approach KS Parikh, TP Shah International Journal of Advanced Science and Technology 100 (3), 1-14, 2017 | 5 | 2017 |
| Kernel based extreme learning machine in identifying dermatological disorders K Parikh, T Shah International Journal of Innovative Science, Engineering & Technology 3 (10 …, 2016 | 5 | 2016 |
| Exploring the predictability of different asset class using exponents in multifractal analysis V Shah, K Parikh | 1 | 2018 |
| Soft Computing Techniques in Diagnosis of Some Regular Skin Disorders KS Parikh PQDT-Global, 2018 | | 2018 |
| Novel Kernel to Diagnose Dermatological Disorders. K PARIKH, TP SHAH Journal of Applied Computer Science & Mathematics 12 (25), 2018 | | 2018 |
| Spherical Bearing Using Ferrofluid Squeeze Film Including Rotation Of Magnetic Particles KS Parikh International Journal of Innovative Research & Studies 3 (2), 70-81, 2014 | | 2014 |
