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Littérature scientifique sur le sujet « Musée intelligent »

Auteur : Grafiati

Publié le 30 novembre 2023

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Articles de revues sur le sujet "Musée intelligent"

1

Mizushima, Eiji. "Qu'est-ce qu'un Le point de vue d'un Japonais »musée intelligent«?" Museum International (Edition Francaise) 41, no. 4 (2009): 240. http://dx.doi.org/10.1111/j.1755-5825.1989.tb01223.x.

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Helzerman, R. A., and M. P. Harper. "MUSE CSP: An Extension to the Constraint Satisfaction Problem." Journal of Artificial Intelligence Research 5 (November 1, 1996): 239–88. http://dx.doi.org/10.1613/jair.298.

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This paper describes an extension to the constraint satisfaction problem (CSP) called MUSE CSP (MUltiply SEgmented Constraint Satisfaction Problem). This extension is especially useful for those problems which segment into multiple sets of partially shared variables. Such problems arise naturally in signal processing applications including computer vision, speech processing, and handwriting recognition. For these applications, it is often difficult to segment the data in only one way given the low-level information utilized by the segmentation algorithms. MUSE CSP can be used to compactly repr

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Phunaploy, Sathiya, Prachyanun Nilsook, and Jarumon Nookhong. "Effects of AL-MIAP-based Learning Management to Promote Digital Intelligence for Undergraduate." Multidisciplinary Journal for Education, Social and Technological Sciences 8, no. 1 (2021): 13. http://dx.doi.org/10.4995/muse.2021.14048.

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<p>This paper has two main aims: the first is to study pre- and post- leaning achievement utilizing AL MIAP to promote copyright digital intelligence for Suan Suan Sunandha Rajabhat University undergraduate students; and the three is to investigate the appropriateness of leaning management adopting an AL MIAP leaning model to promote the students’ digital intelligence. An AL MIAP learning model was utilized in the processes to promote five digital intelligence skills, i.e. respecting copyright, prevention, checking before sharing, threat awareness and using safely. Fifty-eight Suan Sunan

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Nkambou, Roger, Janie Brisson, Ange Tato, and Serge Robert. "Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (2023): 15930–37. http://dx.doi.org/10.1609/aaai.v37i13.26891.

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In our previous works, we presented Logic-Muse as an Intelligent Tutoring System that helps learners improve logical reasoning skills in multiple contexts. Logic-Muse components were validated and argued by experts throughout the designing process (ITS researchers, logicians, and reasoning psychologists). A catalog of reasoning errors (syntactic and semantic) has been established, in addition to an explicit representation of semantic knowledge and the structures and meta-structures underlying conditional reasoning. A Bayesian network with expert validation has been developed and used in a Baye

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Li, Boning, Jinsha Liu, and Jianting Cao. "Robotic Motion Control via P300-based Brain-Computer Interface System." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 23 (November 6, 2023): 105–15. http://dx.doi.org/10.24297/ijct.v23i.9538.

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BCI have ignited extensive research interest in fields such as neuroscience, artificial intelligence, and biomedical engineering, as they offer an opportunity to interact directly with the external environment brain signals. Despite the immense potential for applications, practical use of BCI still faces several challenges, including equipment cost and operational complexity. This study aims to develop a Brain-Computer Interface system based on P300 visual stimuli, utilizing a low-cost, user-friendly portable Muse EEG equipment for data acquisition. We designed and implemented a P300 visual st

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Sánchez-Sordo, José Manuel. "Data mining techniques for the study of online learning from an extended approach." Multidisciplinary Journal for Education, Social and Technological Sciences 6, no. 1 (2019): 1. http://dx.doi.org/10.4995/muse.2019.11482.

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<p class="Textoindependiente21">In the latest years information technologies have impacted society changing the way human beings learn, and because of that it is necessary to study the intimate relationship between humans and their technological tools. On this path the extended mind thesis posits human cognition as a process that occurs in conjunction between biological and non-biological components, furthermore Connectivism is stated as a learning theory for the digital age. Based on such approaches this work presents a summary of a research whose objective was to know how people extend

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Khasawneh, Mohamad. "The level of psychological and docial adjustment among a sample of persons with learning disabilities in Asir Region in light of some variables." Multidisciplinary Journal for Education, Social and Technological Sciences 7, no. 2 (2020): 61. http://dx.doi.org/10.4995/muse.2020.14111.

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<p>This study aimed at investigating the level of psychological and social adjustment in relation to the grade and type of learning disability among persons with learning disabilities in the Asir region. The study was applied to a sample of (350) students studying in schools in the Department of Education in Asir. The sample responded to the psychological and social adjustment scale developed as a tool of the study. The results showed that the level of psychological and social adjustment came with a medium degree, as well as the absence of statistically significant differences in the lev

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Dieber, Jürgen, and Sabrina Kirrane. "A novel model usability evaluation framework (MUsE) for explainable artificial intelligence." Information Fusion 81 (May 2022): 143–53. http://dx.doi.org/10.1016/j.inffus.2021.11.017.

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Takadama, Keiki. "Selected Papers from i-SAIRAS 2010." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 8 (2011): 1139. http://dx.doi.org/10.20965/jaciii.2011.p1139.

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This special issue features the selected papers from i-SAIRAS 2010 (The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space) at Sapporo, Japan on August 29 - September 1, 2010), which explores the technology of Artificial Intelligence (AI), Automation and Robotics, and its application in space. In the AI domain, in particular, i-SAIRAS focuses on the following issues: (1) spacecraft autonomy (e.g., inboard software for mission planning and execution, resource management, fault protection, science data analysis, guidance, navigation and control, smart senso

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Church, Kenneth Ward. "Benchmarks and goals." Natural Language Engineering 26, no. 5 (2020): 579–92. http://dx.doi.org/10.1017/s1351324920000418.

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AbstractBenchmarks can be a useful step toward the goals of the field (when the benchmark is on the critical path), as demonstrated by the GLUE benchmark, and deep nets such as BERT and ERNIE. The case for other benchmarks such as MUSE and WN18RR is less well established. Hopefully, these benchmarks are on a critical path toward progress on bilingual lexicon induction (BLI) and knowledge graph completion (KGC). Many KGC algorithms have been proposed such as Trans[DEHRM], but it remains to be seen how this work improves WordNet coverage. Given how much work is based on these benchmarks, the lit

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