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Condition Assessment of Baffles Based on Text-Based Maintenance Data

Title:	Condition Assessment of Baffles Based on Text-Based Maintenance Data
Authors:	Sudula, Venkata Sai Prashanth^Aff17; Chattopadhyay, Gopinath^Aff17; Larkins, Jo-Ann^Aff17
Contributors:	Chaari, Fakher, Series Editor^Aff1; Gherardini, Francesco, Series Editor^Aff2; Ivanov, Vitalii, Series Editor^Aff3; Haddar, Mohamed, Series Editor^Aff4; Cavas-Martínez, Francisco, Editorial Board Member^Aff5; di Mare, Francesca, Editorial Board Member^Aff6; Kwon, Young W., Editorial Board Member^Aff7; Tolio, Tullio A. M., Editorial Board Member^Aff8; Trojanowska, Justyna, Editorial Board Member^Aff9; Schmitt, Robert, Editorial Board Member^Aff10; Xu, Jinyang, Editorial Board Member^Aff11; Kour, Ravdeep, editor^Aff12; Karim, Ramin, editor^Aff13; Kumar, Uday, editor^Aff14; Galar, Diego, editor^Aff15; Jägare, Veronica, editor^Aff16
Source:	International Congress and Workshop on Industrial AI and eMaintenance 2025. :841-852
Database:	Springer Nature eBooks