A feature cum intensity based SSIM optimised hybrid image registration technique T Kumari, V Guleria, P Syal, AK Aggarwal 2021 international conference on computing, communication and green …, 2021 | 14 | 2021 |
Prediction of surface roughness in turning using vibration features selected by largest Lyapunov exponent based ICEEMDAN decomposition V Guleria, V Kumar, PK Singh Measurement 202, 111812, 2022 | 12 | 2022 |
Classification of surface roughness during turning of forged EN8 steel using vibration signal processing and support vector machine V Guleria, V Kumar, PK Singh Engineering Research Express 4 (1), 015029, 2022 | 11 | 2022 |
A novel approach for prediction of surface roughness in turning of EN353 steel by RVR-PSO using selected features of VMD along with cutting parameters V Guleria, V Kumar, PK Singh Journal of Mechanical Science and Technology 36 (6), 2775-2785, 2022 | 8 | 2022 |
Multi-response optimization in turning of EN-24 steel under MQL A Thakur, V Guleria, R Lal Engineering Research Express 4 (2), 025052, 2022 | 4 | 2022 |
Hybrid image registration methods: A Review VG Taruna Kumari, Poonam Syal, Ashwani Aggarwal International Journal of Advanced Trends in Computer Science and Engineering …, 2020 | 3* | 2020 |
Parametric modeling and optimization of electrochemical machining of EN-31 alloy steel PK Singh, S Sangle, AK Singh, V Guleria Sādhanā 47 (4), 197, 2022 | 1 | 2022 |
Recent Trends in the Amelioration and Prediction of Surface Roughness in Turning Process: A Bibliometric Analysis V Guleria, V Kumar, PK Singh Advances in Manufacturing Engineering: Select Proceedings of ICFAMMT 2022, 77-90, 2022 | 1 | 2022 |
IMPLEMENTATION ANALYSIS OF CUTTING TOOL CARBIDE WITH CAST IRON MATERIAL S45 C ON UNIVERSAL LATHE G Zhao, B Zhao, W Ding, A Thakur, V Guleria, R Lal | | |