Evaluation metrics for intelligent generation of graphical game assets: a systematic survey-based framework

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28019

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DC Field	Value	Language
dc.contributor.author	Fukaya, K	-
dc.contributor.author	Daylamani-Zad, D	-
dc.contributor.author	Agius, H	-
dc.date.accessioned	2024-01-15T16:37:06Z	-
dc.date.available	2024-01-15T16:37:06Z	-
dc.date.issued	2024	-
dc.identifier	ORCID iD: Damon Daylamani-Zad https://orcid.org/0000-0001-7849-458X	-
dc.identifier	ORCID iD: Harry Agius https://orcid.org/0000-0002-8818-2683	-
dc.identifier.citation	Fukaya, K., Daylamani-Zad, D. and Agius, H. (2024) 'Evaluation metrics for intelligent generation of graphical game assets: a systematic survey-based framework', IEEE Transactions on Pattern Analysis and Machine Intelligence, 0 (accepted, in press), pp. 1 - 18.	en_US
dc.identifier.issn	0162-8828	-
dc.identifier.uri	https://bura.brunel.ac.uk/handle/2438/28019	-
dc.description.abstract	...	en_US
dc.language.iso	en_US	en_US
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)	en_US
dc.subject	evaluation metrics	en_US
dc.subject	graphical game assets	en_US
dc.subject	artificial Intelligence	en_US
dc.subject	PCG	en_US
dc.title	Evaluation metrics for intelligent generation of graphical game assets: a systematic survey-based framework	en_US
dc.type	Article	en_US
dc.relation.isPartOf	IEEE Transactions on Pattern Analysis and Machine Intelligence	-
pubs.publication-status	Submitted	-
Appears in Collections:	Brunel Design School Embargoed Research Papers

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