| Optimization of process parameters in fused deposition modeling using weighted principal component analysis AK Sood, V Chaturvedi, S Datta, SS Mahapatra Journal of Advanced Manufacturing Systems 10 (02), 241-259, 2011 | 101 | 2011 |
| Bayesian Inference Based Investment Casting Defects Analysis System for Industrial Application RB Sata Amit International Journal of Advanced Manufacturing Technology 90 (9), 3301-3315, 2016 | 39 | 2016 |
| New approach to casting defects classification and analysis supported by simulation VV Mane, A Sata, MY Khire Proceedings of The 59th Indian Foundry Congress, Chandigarh, February, 87-104, 2010 | 36 | 2010 |
| Comparison of some neural network and multivariate regression for predicting mechanical properties of investment casting A Sata, B Ravi Journal of materials engineering and performance 23, 2953-2964, 2014 | 14 | 2014 |
| Intelligent inspection of surface defects in metal castings using machine learning N Yousef, C Parmar, A Sata Materials Today: Proceedings 67, 517-522, 2022 | 10 | 2022 |
| A novel web-based system for casting defect analysis HC Pandit, A Sata, VV Mane, UA Dabade technical transactions of 60th Indian Foundry Congress 2, 2012 | 10 | 2012 |
| Scope of investment castings supported by survey of foundries in Rajkot cluster A Sata, M Sutaria Indian Foundry J 60 (6), 42-46, 2014 | 9 | 2014 |
| Investment casting defect prediction using neural network and multivariate regression along with principal component analysis A Sata International Journal of Manufacturing Research 11 (4), 356-373, 2016 | 8 | 2016 |
| Foundry Data Analytics to Identify Critical Parameters Affecting Quality of Investment Castings DBR Dr Amit Sata ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B …, 2018 | 6* | 2018 |
| Novel Webpublished in technical transactions of 60th Indian Foundry Congress, 2 4th March 2012 HC Pandit, A Sata, VV Mane, UA Dabade Bangalore, 2012 | 6 | 2012 |
| Feature selection with LASSO and VSURF to model mechanical properties for investment casting JS Virdi, W Peng, A Sata 2019 International Conference on Computational Intelligence in Data Science …, 2019 | 5 | 2019 |
| Mechanical property prediction of investment castings using artificial neural network and multivariate regression analysis A Sata, B Ravi Technical Paper Presented at Indian Foundry Congress, 1-15, 2015 | 5 | 2015 |
| Shrinkage porosity prediction using casting simulation A Sata Indian Institute Of Technology Bombay, 2010 | 5 | 2010 |
| 5 Cs of Investment Casting Foundries in Rajkot Cluster–An Industrial Survey AV Sata, NR Maheta Archives of Foundry Engineering 21 (3), 102-108, 2021 | 3 | 2021 |
| Foundry Data Analytics to Prevent Defects in Investment Castings A Sata no. February, 2016 | 2 | 2016 |
| Parametric Study of Inspecting Surface Defects in Investment Casting. N Yousef, A Sata Jordan Journal of Mechanical & Industrial Engineering 17 (4), 2023 | 1 | 2023 |
| Innovative Inspection Device for Investment Casting Foundries N Yousef, A Sata International Journal of Metalcasting 17 (4), 2663-2673, 2023 | 1 | 2023 |
| Application of Niyama criterion to predict shrinkage porosity in vertical centrifugal casting of ASTM A356 alloy D Bhoraniya, V Dharaiya, A Sata International Journal of Process Management and Benchmarking 12 (3), 395-406, 2022 | 1 | 2022 |
| Foundry Data Analytics to Identify Critical Parameters Affecting Mechanical Properties of Investment Castings A Sata, B Ravi ASME International Mechanical Engineering Congress and Exposition 58493 …, 2017 | 1 | 2017 |
| Development of Cloud Based Casting Defects Categorization System (CDCS) A Sata Archives of Foundry Engineering 17 (1), 216-222, 0 | 1* | |
