Titlebook: Decoding Cultural Heritage; A Critical Dissectio Fernando Moral-Andrés,Elena Merino-Gómez,Pedro Rev Book 2024 The Editor(s) (if applicable)

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Manufacturing of Sculpture in the Digital Ageialization of functions or serial production, typical of industrial processes, have been present since antiquity in the crafting of simple everyday objects and also in the manufacturing of more complex and unique pieces, such as artistic sculptures. The material remains of serialized artifacts and t

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Harnessing Audio-Based Augmented Reality for Digital History and Cultural Heritage Experiencesersive experience that brings history and heritage to life. This chapter delves into the creative and innovative use of sound and audio in AR experiences, highlighting how sound can enhance the storytelling potential of AR apps centered on history and cultural heritage. By exploring different tactic

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Book 2024nced sensing, geomatics or virtual and augmented reality. The use of newer tools such as generative artificial intelligence for images and 3D or advanced natural language processing systems is also considered. The ultimate goal is to provide readers with a global perspective of the state of the art

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,Schlucken und Schluckbeeintr?chtigung, for improvement, particularly in refining data quality and focusing on enhancing the explainability of predictions. In conclusion, this study underscores the importance of interdisciplinary collaboration for gaining insights into history, culture, and civilization.

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AI for the Restoration of Ancient Inscriptions: A Computational Linguistics Perspective for improvement, particularly in refining data quality and focusing on enhancing the explainability of predictions. In conclusion, this study underscores the importance of interdisciplinary collaboration for gaining insights into history, culture, and civilization.

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Generative AI and the History of Architecture understand the capabilities and boundaries of knowledge of those tools. We also analyze how they are already being used by analyzing a dataset of 101 million Midjourney queries to see if and how practitioners are already querying for specific architectural concepts.