The following publications are possibly variants of this publication:
- Converting Diagrams, Formulas, Tables, Graphics and Pictures into SPN and NL-text Sentences for Automatic Deep Understanding of Technical DocumentsNikolaos G. Bourbakis. ictai 2017: 247-254 [doi]
- A Holistic Approach for Automatic Deep Understanding and Protection of Technical DocumentsNikolaos G. Bourbakis, J. Sukarno Mertoguno. ijait, 29(6), 2020. [doi]
- Deep Understanding of Technical Documents: Part II. Automatic Extraction of PseudocodeNikolaos G. Bourbakis, Giorgia Rematska, J. Sukarno Mertoguno. ijait, 30(3), 2021. [doi]
- Deep Understanding of Technical Documents: An Enhancement on Diagrams UnderstandingMichail S. Alexiou, Nikolaos Gkorgkolis, J. Sukarno Mertoguno, Nikolaos G. Bourbakis. ijait, 30(5), 2021. [doi]
- Pinakas: A Methodology for Deep Analysis of Tables in Technical DocumentsMichail S. Alexiou, Nikolaos G. Bourbakis. ijait, 32(4), June 2023. [doi]
- Deep Understanding of Technical Documents: Part I. Diagrams Structural-functional ModelingNikolaos G. Bourbakis, Giorgia Rematska, J. Sukarno Mertoguno. ijait, 30(3), 2021. [doi]
- Evaluating Methodologies on Deep Understanding of Mathematical Formulas in Technical DocumentsNikolaos Gkorgkolis, Nikolaos G. Bourbakis. ictai 2021: 920-926 [doi]
- A Human-Like SPN Methodology for Deep Understanding of Technical DocumentsNikolaos G. Bourbakis, Adamantia Psarologou, Giorgia Rematska, Anna Esposito. ictai 2016: 772-778 [doi]