Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
BuHamdan, Samer
Alwisy, Aladdin
and
Bouferguene, Ahmed
2020.
Explore the application of reinforced learning to support decision making during the design phase in the construction industry.
Procedia Manufacturing,
Vol. 42,
Issue. ,
p.
181.
Küchenhof, Jan
Tabel, Caspar
and
Krause, Dieter
2020.
Assessing the Influence of Generational Variety on Product Family Structures.
Procedia CIRP,
Vol. 91,
Issue. ,
p.
796.
Ziora, Leszek
2020.
Machine learning solutions in the management of a contemporary business organisation.
Journal of Decision Systems,
Vol. 29,
Issue. sup1,
p.
344.
Vlah, Daria
Kastrin, Andrej
Povh, Janez
and
Vukašinović, Nikola
2022.
Data-driven engineering design: A systematic review using scientometric approach.
Advanced Engineering Informatics,
Vol. 54,
Issue. ,
p.
101774.
BuHamdan, Samer
Alwisy, Aladdin
Danel, Thomas
Bouferguene, Ahmed
and
Lafhaj, Zoubeir
2022.
The use of reinforced learning to support multidisciplinary design in the AEC industry: Assessing the utilization of Markov Decision Process.
International Journal of Architectural Computing,
Vol. 20,
Issue. 2,
p.
216.
Ardiansyah, Deden
Mantoro, Teddy
and
Syafei, Wahyul Amien
2022.
Potential Classification Prediction of Solar and Wind Energy in Indonesia using Machine Learning with Random Forest Algorithm.
p.
297.
Cheligeer, Cheligeer
Huang, Jingwei
Wu, Guosong
Bhuiyan, Nadia
Xu, Yuan
and
Zeng, Yong
2022.
Machine learning in requirements elicitation: a literature review.
Artificial Intelligence for Engineering Design, Analysis and Manufacturing,
Vol. 36,
Issue. ,
Patidar, Anil
and
Suman, Ugrasen
2023.
RGBot: A Machine Learning Enabled Requirements Gathering Technique in Agile-Based Lifecycle.
p.
1.
Atmaja, Sigit Tri
Fajar, Rizqon
Syamsuar, S.
and
Sutiyo, S.
2023.
Implementation of artificial neural network for predicting water drag of the aircraft floater.
Vol. 2646,
Issue. ,
p.
040001.
Gerschütz, Benjamin
Sauer, Christopher
Kormann, Andreas
Nicklas, Simon J.
Goetz, Stefan
Roppel, Matthias
Tremmel, Stephan
Paetzold-Byhain, Kristin
and
Wartzack, Sandro
2023.
Digital Engineering Methods in Practical Use during Mechatronic Design Processes.
Designs,
Vol. 7,
Issue. 4,
p.
93.
Sutrilastyo
and
Astanti, Ririn Diar
2024.
Supervised multilabel classification techniques for categorising customer requirements during the conceptual phase in the new product development.
Engineering Management in Production and Services,
Vol. 16,
Issue. 1,
p.
31.
Panzner, Melina
von Enzberg, Sebastian
Meyer, Maurice
and
Dumitrescu, Roman
2024.
Characterization of Usage Data with the Help of Data Classifications.
Journal of the Knowledge Economy,
Vol. 15,
Issue. 1,
p.
88.
Gerschütz, Benjamin
Consten, Yvonne
Goetz, Stefan
and
Wartzack, Sandro
2024.
PADDME—Process Analysis for Digital Development in Mechanical Engineering.
Processes,
Vol. 12,
Issue. 1,
p.
173.