The History of Furniture Objects: An Intelligent Augmented Reality Application

Ştefan, Livia; Gheorghiu, Dragoş; Hodea, Marius; Moţăianu, Mihaela

doi:10.1007/978-3-031-27166-3_10

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2024

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Cited by 3 publications

References 18 publications

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Learning to Build a Doric Temple: The Augmentation of Knowledge Through AR Gamification

Gheorghiu,

Ştefan,

Moţăianu

et al. 2024

Augmented Reality Games II

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Learning to Build a Doric Temple: The Augmentation of Knowledge Through AR Gamification

Gheorghiu,

Ştefan,

Moţăianu

et al. 2024

Augmented Reality Games II

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AR Intelligent Real-time Method for Cultural Heritage Object Recognition

Pisnyi,

Kit,

Lipianina-Honcharenko

et al. 2023

2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT)

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The application of machine learning in inner built environment: scientometric analysis, limitations, and future directions

Dwiek,

Bast

2024

Front. Built Environ.

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IntroductionThis article investigates the revolutionary influence of artificial intelligence (AI) on interior design, with an emphasis on the incorporation of machine learning ML techniques. The advent of AI has resulted in a paradigm change in design methods, prompting a thorough review of research gaps and the potential for ML applications in a variety of areas of interior design.MethodsA systematic review process was implemented to fill these gaps, consisting of an in-depth evaluation of 28 research publications from Scopus databases categorized into eight themes. The investigation sought to address a pair of primary inquiries: what opportunities exist for using ML in interior design conditions, and what challenges limit its effective implementation.ResultThe study discovered a significant gap in the existing literature, demanding a full assessment to highlight challenges in ML implementation and the potential for applied ML development throughout the whole spectrum of interior design.DiscussionThe findings are intended to provide researchers and enthusiasts with an extensive understanding of ML-based gaps in interior design conditions and to provide various solutions for filling these gaps. This understanding may assist in the development of intelligent ML-driven apps, promoting interior contexts that improve user well-being and psychological comfort.

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The History of Furniture Objects: An Intelligent Augmented Reality Application

Cited by 3 publications

References 18 publications

Learning to Build a Doric Temple: The Augmentation of Knowledge Through AR Gamification

Learning to Build a Doric Temple: The Augmentation of Knowledge Through AR Gamification

AR Intelligent Real-time Method for Cultural Heritage Object Recognition

The application of machine learning in inner built environment: scientometric analysis, limitations, and future directions

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