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Prashanth Pillai
Prashanth Pillai
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Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
A hybrid approach for fusing physics and data for failure prediction
P Pillai, A Kaushik, S Bhavikatti, A Roy, V Kumar
International Journal of Prognostics and Health Management 7 (4), 2016
552016
A hybrid neural network strategy for identification of structural parameters
P Pillai, S Krishnapillai
Structures & Infrastructure Engineering 6 (3), 379-391, 2010
262010
A hybrid neural network strategy for the identification of structural damage using time domain responses
P Pillai, K Shankar
The IES Journal Part A: Civil & Structural Engineering 2 (1), 17-34, 2009
72009
NLP applications in the oil and natural gas industry
P Pillai, S Ryali, H Maniar, P Mangsuli, A Abubakar
Second International Meeting for Applied Geoscience & Energy, 1956-1960, 2022
42022
Deep Similarity Learning for Well Test Model Identification
G Nagaraj, P Pillai, K Mandar
SPE Middle East Oil & Gas Show and Conference, 2021
42021
Control system and method for determining contaminant loading of turbine blades
G Sundararajan, P Pillai, R Muralikrishan, R Hefner, B Foulkes, ...
US Patent 11,098,724, 2021
42021
Document Layout Analysis Using Detection Transformers
P Pillai, P Mangsuli
Abu Dhabi International Petroleum Exhibition and Conference, 2021, 2021
22021
Artificial Intelligence Assisted Deviation Survey Extraction from Well Reports
OA Gune, P Pillai, R Gupta
Fourth EAGE Digitalization Conference & Exhibition 2024 (1), 1-5, 2024
2024
Extracting user-defined attributes from documents
P Pillai, PR Mangsuli
US Patent US11829399B1, 2023
2023
Enabling Contextual Natural Language Search on Oil and Gas Databases
A Lokhande, P Pillai, P Mangsuli
ADIPEC, Abu Dhabi, UAE, 2023
2023
Offset well identification and parameter selection
P Pillai, M Ringer, P Mangsuli, V Skvortsov
WO Patent WO2023147097A1, 2023
2023
System and method for automated document analysis
P Pillai, PR Mangsuli, K Pathak
WO Patent WO2022187215A1, 2022
2022
A machine learning based approach to well test analysis
MS Kulkarni, GP Nagaraj, P Pillai
WO Patent 2022109026A1, 2022
2022
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