Norwegian version
Arvind Keprate

Arvind Keprate

Scientific publications

P.S., Pavan; Keprate, Arvind; Bagalkot, Nikhil; P, Sivasankar (2022). Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach. Bioresource Technology . Vol. 351.

Tiwari, Parul; Bhardwaj, Piyush; Keprate, Arvind; Tyagi, Ashish (2022). Breast Cancer Survival Prediction Using Machine Learning. Studies in Computational Intelligence . Vol. 1016.

Keprate, Arvind; Donthi, Nikhil (2021). Prediction of stress correction factor for welded joints using response surface sdels. ASME, Digital Collection (Ed.). ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Volume 2: Structures, Safety, and Reliability. OMAE2021-62948. The American Society of Mechanical Engineers (ASME).

Chatterjee, Supratik; Keprate, Arvind (2021). Exploratory Data Analysis of the N-CMAPSS Dataset for Prognostics. 8 p. IEEE International Conference on Industrial Engineering and Engineering Management .

Keprate, Arvind; Chatterjee, Supratik (2021). Predicting Remaining Fatigue Life of Topside Piping Using Deep Learning. Colomo-Palacios, Ricardo; Ripon, Kazi Shah Nawaz (Ed.). Proceedings of the International Conference on Applied Artificial Intelligence (ICAPAI) 2021. Kapittel. IEEE conference proceedings.

Keprate, Arvind (2021). Kvasir-Instruments and Polyp Segmentation Using UNet. Nordic Machine Intelligence (NMI).
https://hdl.handle.net/11250/2982019

Bagalkot, Nikhil; Keprate, Arvind; Orderløkken, Rune (2021). Combining Computational Fluid Dynamics and Gradient Boosting Regressor for Predicting Force Distribution on Horizontal Axis Wind Turbin. Vibration . Vol. 4.

Bagalkot, Nikhil; Keprate, Arvind (2021). Machine Learning Approach to Estimate the Diffusion Coefficient of CO2 in Hydrocarbons. ASME, Digital Collection (Ed.). ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Volume 10: Petroleum Technology. OMAE2021-62407. The American Society of Mechanical Engineers (ASME).

Garg, Paras; Patil, Amitkumar; Soni, Gunjan; Keprate, Arvind; Arora, Seemant (2021). Machine learning-based abnormality detection approach for vacuum pump assembly line. Reliability: Theory & Applications . Vol. 16.
http://www.gnedenko.net/Journal/2021/SI_022021/RTA...

Keprate, Arvind; Kumar, Gaurav Thakur (2020). Use of Analytical Hierarchy Process in Selecting the Optimum Equipment for Execution at a Construction Project. IEEE, . (Ed.). 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). Artikkel. p. 1022-1026. IEEE.





These publications are obtained from Cristin. The list may be incomplete