TY  - CHAP
AU  - Szabo-Gali, Akos
AU  - Biczó, Zoltán Bálint
AU  - Kohlhéb, Róbert
AU  - Kertész, Gábor
AU  - Masahiro, Okumiya
AU  - Kovács, Levente
AU  - Felde, Imre
TI  - Approximation of Heat Transfer Coefficients by using AI techniques
T2  - Proceedings of 28th IFHTSE 2023 Congress
PB  - Japan Society for Heat Treatment
CY  - Tokió
SN  - 9781713889533
PY  - 2023
UR  - https://m2.mtmt.hu/api/publication/34789639
ID  - 34789639
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Biczó, Zoltán Bálint
AU  - Szénási, Sándor
AU  - Felde, Imre
ED  - Szakál, Anikó
TI  - A Novel Machine Learning Solution for the Inverse Heat Conduction Problem with Synthetic Datasets
T2  - IEEE 17th International Symposium on Applied Computational Intelligence and Informatics SACI 2023 : Proceedings
PB  - IEEE Hungary Section
CY  - Budapest
SN  - 9798350321104
PY  - 2023
SP  - 117
EP  - 122
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/33861837
ID  - 33861837
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Biczó, Zoltán Bálint
AU  - Martha, Guerrero
AU  - Kovács, Levente
AU  - Felde, Imre
TI  - Application of New Artificial Neural Network model to Predict Heat Transfer Coefficients during Quenching
T2  - 27TH IFHTSE CONGRESS & EUROPEAN CONFERENCE ON HEAT TREATMENT 2022
PB  - International Federation for Heat Treatment and Surface Engineering
CY  - Salzburg
SN  - 9783200085848
PY  - 2022
SP  - 63
EP  - 68
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/33552228
ID  - 33552228
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Biczó, Zoltán Bálint
AU  - Szénási, Sándor
AU  - Felde, Imre
TI  - Safe Overfitting of Boosted Tree Algorithm in Heat Transfer Modeling
T2  - IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics SAMI (2022)
PB  - IEEE
CY  - Poprad
SN  - 9781665497039
PY  - 2022
SP  - 379
EP  - 382
PG  - 4
DO  - 10.1109/SAMI54271.2022.9780808
UR  - https://m2.mtmt.hu/api/publication/32732425
ID  - 32732425
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Biczó, Zoltán Bálint
AU  - Felde, Imre
AU  - Szénási, Sándor
ED  - Szakál, Anikó
TI  - Distorsion Prediction of Additive Manufacturing Process using Machine Learning Methods
T2  - 15th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2021
PB  - IEEE
CY  - Budapest
CY  - Piscataway (NJ)
SN  - 9781728195438
PY  - 2021
SP  - 249
EP  - 252
PG  - 4
DO  - 10.1109/SACI51354.2021.9465625
UR  - https://m2.mtmt.hu/api/publication/32076922
ID  - 32076922
AB  - Additive Manufacturing is a widely used technology; however, it also has several open questions. In the modelling phase, it is necessary to predict undesired distortions. There are several finite-element based simulation tools for this purpose, but these are costly and resource-intensive. This paper presents a novel approach based on several Machine Learning methods (decision trees, random forest, gradient boosted trees, support vector machines, deep learning) to speed-up this process. The results show that it is possible to give accurate predictions with these methods.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Pintér, Gergő
AU  - Nadai, Laszlo
AU  - Bognar, Gabor
AU  - Biczó, Zoltán Bálint
AU  - Felde, Imre
ED  - IEEE, null
TI  - Activity Pattern Analysis of the Mobile Phone Network During a Large Social Event
T2  - 2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF)
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781538693131
PY  - 2019
SP  - 1
EP  - 5
PG  - 5
DO  - 10.1109/RIVF.2019.8713741
UR  - https://m2.mtmt.hu/api/publication/30715665
ID  - 30715665
LA  - English
DB  - MTMT
ER  -