@article{MTMT:34500780,
	title = {Pyrolysis of the 3D printing plastic waste},
	url = {https://m2.mtmt.hu/api/publication/34500780},
	author = {Ayari, Montassar and Dobó, Zsolt and Garami, Attila},
	doi = {10.32974/mse.2022.004},
	journal-iso = {HUNG MATER CHEM SCI ENG},
	journal = {HUNGARIAN MATERIALS AND CHEMICAL SCIENCES AND ENGINEERING},
	volume = {47},
	unique-id = {34500780},
	issn = {3004-0000},
	year = {2023},
	eissn = {3004-0817},
	pages = {44-52}
}

@article{MTMT:34498454,
	title = {Machine Learning Assisted Polymer Design and Development},
	url = {https://m2.mtmt.hu/api/publication/34498454},
	author = {Lucjuk-Huszár, Kornélia and Viskolcz, Béla and Garami, Attila and Fiser, Béla},
	journal-iso = {Doktorandusz Almanach},
	journal = {Doktorandusz Almanach},
	volume = {2023},
	unique-id = {34498454},
	issn = {2939-7294},
	year = {2023},
	pages = {123-128},
	orcid-numbers = {Fiser, Béla/0000-0003-0603-4626}
}

@{MTMT:34442837,
	title = {Polimer Anyagok Fejlesztése és Tervezése Gépi Tanulási Algoritmusokkal},
	url = {https://m2.mtmt.hu/api/publication/34442837},
	author = {Lucjuk-Huszár, Kornélia and Viskolcz, Béla and Garami, Attila and Fiser, Béla},
	booktitle = {Symposium on Polyurethane Innovation 2023 - Conference Booklet},
	unique-id = {34442837},
	year = {2023},
	pages = {140},
	orcid-numbers = {Fiser, Béla/0000-0003-0603-4626}
}

@article{MTMT:34123360,
	title = {Towards Machine Learning in Heterogeneous Catalysis—A Case Study of 2,4-Dinitrotoluene Hydrogenation},
	url = {https://m2.mtmt.hu/api/publication/34123360},
	author = {Jakab-Nácsa, Alexandra and Garami, Attila and Fiser, Béla and Farkas, László and Viskolcz, Béla},
	doi = {10.3390/ijms241411461},
	journal-iso = {INT J MOL SCI},
	journal = {INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES},
	volume = {24},
	unique-id = {34123360},
	issn = {1661-6596},
	abstract = {Utilization of multivariate data analysis in catalysis research has extraordinary importance. The aim of the MIRA21 (MIskolc RAnking 21) model is to characterize heterogeneous catalysts with bias-free quantifiable data from 15 different variables to standardize catalyst characterization and provide an easy tool to compare, rank, and classify catalysts. The present work introduces and mathematically validates the MIRA21 model by identifying fundamentals affecting catalyst comparison and provides support for catalyst design. Literature data of 2,4-dinitrotoluene hydrogenation catalysts for toluene diamine synthesis were analyzed by using the descriptor system of MIRA21. In this study, exploratory data analysis (EDA) has been used to understand the relationships between individual variables such as catalyst performance, reaction conditions, catalyst compositions, and sustainable parameters. The results will be applicable in catalyst design, and using machine learning tools will also be possible.},
	year = {2023},
	eissn = {1422-0067},
	orcid-numbers = {Jakab-Nácsa, Alexandra/0000-0003-0457-8646; Fiser, Béla/0000-0003-0603-4626; Farkas, László/0000-0003-4328-486X}
}

@article{MTMT:33540764,
	title = {The applicability of machine learning in polyurethane design},
	url = {https://m2.mtmt.hu/api/publication/33540764},
	author = {Lucjuk-Huszár, Kornélia and Viskolcz, Béla and Garami, Attila and Fiser, Béla},
	journal-iso = {Doktorandusz Almanach},
	journal = {Doktorandusz Almanach},
	volume = {1},
	unique-id = {33540764},
	issn = {2939-7294},
	year = {2022},
	pages = {148-152},
	orcid-numbers = {Fiser, Béla/0000-0003-0603-4626}
}

@inproceedings{MTMT:33355062,
	title = {Mesterséges intelligencia a tüzeléstechnikában},
	url = {https://m2.mtmt.hu/api/publication/33355062},
	author = {Garami, Attila},
	booktitle = {Fókuszban a hazai felszín alatti természeti erőforrások},
	unique-id = {33355062},
	year = {2022},
	pages = {202-210}
}

@inproceedings{MTMT:33252794,
	title = {Machine Learning Applied in Polyurethane Design and Development},
	url = {https://m2.mtmt.hu/api/publication/33252794},
	author = {Lucjuk-Huszár, Kornélia and Viskolcz, Béla and Garami, Attila and Fiser, Béla},
	booktitle = {Symposium on Polyurethane Innovation - SPI 2022, Conference publications},
	unique-id = {33252794},
	year = {2022},
	pages = {68-72},
	orcid-numbers = {Fiser, Béla/0000-0003-0603-4626}
}

@article{MTMT:32600944,
	title = {Low-cost monitoring of atmospheric PM—development and testing},
	url = {https://m2.mtmt.hu/api/publication/32600944},
	author = {Báthory, Csongor and Dobó, Zsolt and Garami, Attila and Palotás, Árpád Bence and Lukács (Tóth), Pál},
	doi = {10.1016/j.jenvman.2021.114158},
	journal-iso = {J ENVIRON MANAGE},
	journal = {JOURNAL OF ENVIRONMENTAL MANAGEMENT},
	volume = {304},
	unique-id = {32600944},
	issn = {0301-4797},
	year = {2022},
	eissn = {1095-8630},
	orcid-numbers = {Báthory, Csongor/0000-0002-2914-8573}
}

@article{MTMT:32470585,
	title = {Gépi látás és tanulás a tüzeléstechnikában és a biomasszatüzelésben},
	url = {https://m2.mtmt.hu/api/publication/32470585},
	author = {Garami, Attila},
	journal-iso = {ENERGIAGAZDÁLKODÁS},
	journal = {ENERGIAGAZDÁLKODÁS},
	volume = {62},
	unique-id = {32470585},
	issn = {0021-0757},
	year = {2021},
	pages = {13-17}
}

@mastersthesis{MTMT:31744729,
	title = {Gépi látás és gépi tanulás alkalmazása ipari méretű tüzelési folyamatok ellenőrzésére},
	url = {https://m2.mtmt.hu/api/publication/31744729},
	author = {Garami, Attila},
	doi = {10.14750/ME.2020.002},
	unique-id = {31744729},
	year = {2020}
}