AIDM: artificial intelligent for digital museum autonomous system with mixed reality and software-driven data collection and analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10515-021-00315-9.pdf
Reference34 articles.
1. Afroz, Z., Gunay, H.B, O’Brien, W.: A review of data collection and analysis requirements for cerified green buildings. Energy Build. 110367 (2020)
2. Agostino, D., Michela, A., Melisa, D.L.: New development: COVID-19 as an accelerator of digital transformation in public service delivery. Public Money Manag. 41(1), 69–72 (2021)
3. Al-Sumaiti, A.S., Abdullah, K.B., James, L.W., Abdullahi, K.B., Hoach, N.: Data collection surveys on the cornerstones of the water-energy nexus: a systematic overview. IEEE Access 8, 93011–93027 (2020)
4. Almhana, R., Kessentini, M.: Considering dependencies between bug reports to improve bugs triage. Autom. Softw. Eng. 28(1), 1–26 (2021)
5. Cao, G., Keming Z.: Design of digital museum narrative space based on perceptual experience data mining and computer vision. In: 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), pp. 444–448. IEEE (2021)
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The Application of Metaverse in the Tourism Sector as a Tool for Enhancing Sustainability—Case Study: A Medieval ‘Perfume Burner’ of the Local Historical Museum of Montilla (Cordoba, Spain);Sustainability;2024-08-14
2. Can Serious Games and AI Rejuvenate Museums?;Advances in Hospitality, Tourism, and the Services Industry;2024-06-05
3. Enhancing museum experience through deep learning and multimedia technology;Heliyon;2024-06
4. Enriching User-Visitor Experiences in Digital Museology: Combining Social and Virtual Interaction within a Metaverse Environment;Applied Sciences;2024-04-28
5. Exploring relations among authentic tourism experience, experience quality, and tourist behaviours in phygital heritage with experimental design;Journal of Destination Marketing & Management;2024-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3