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Articles de revues sur le sujet « Musée intelligent »

Auteur : Grafiati

Publié le 30 novembre 2023

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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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Li, Yanjing, and Xinyuan Liu. "An Intelligent Music Production Technology Based on Generation Confrontation Mechanism." Computational Intelligence and Neuroscience 2022 (February 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/5083146.

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In recent years, with the development of deep neural network becoming more and more mature, especially after the proposal of generative confrontation mechanism, academia has made many achievements in the research of image, video and text generation. Therefore, scholars began to use similar attempts in the research of music generation. Therefore, based on the existing theoretical technology and research work, this paper studies music production, and then proposes an intelligent music production technology based on generation confrontation mechanism to enrich the research in the field of compute

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Burns, Kevin. "Computing the creativeness of amusing advertisements: A Bayesian model of Burma-Shave's muse." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 29, no. 1 (2014): 109–28. http://dx.doi.org/10.1017/s0890060414000699.

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AbstractHow do humans judge the creativeness of an artwork or other artifact? This article suggests that such judgments are based on the pleasures of an aesthetic experience, which can be modeled as a mathematical product of psychological arousal and appraisal. The arousal stems from surprise, and is computed as a marginal entropy using information theory. The appraisal assigns meaning, by which the surprise is resolved, and is computed as a posterior probability using Bayesian theory. This model is tested by obtaining human ratings of surprise, meaning, and creativeness for artifacts in a dom

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Lyons, Sara. "“You Must Be as Clever as We Think You”: Assessing Intelligence in Henry James’sThe Tragic Muse." Modern Philology 115, no. 1 (2017): 105–30. http://dx.doi.org/10.1086/691594.

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Kearns, William, Megan Laine, Esther Oh, Hilaire Thompson, and George Demiris. "278 Understanding Perspectives on Artificial Intelligence Technologies for Sleep Self-Management." Sleep 44, Supplement_2 (2021): A111. http://dx.doi.org/10.1093/sleep/zsab072.277.

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Abstract Introduction Until recently, understanding one’s sleep activity relied on technology only available in sleep labs with data analyzed by experts. Transitioning this technology from the lab to natural environments results in noisy data. Fortunately, advances in signal processing through Artificial Intelligence (AI) have made these technologies accessible to consumers. This study seeks to provide recommendations that address user preferences and concerns related to sleep self-management devices and software that leverage AI, as they have the potential to increase both the quantity and qu

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Selaković, Kristinka. "UMETNIČKO DELO KAO POKRETAČ METAKOGNITIVNIH STRATEGIJA UČENjA." Узданица XX, no. 1 (2023): 229–40. http://dx.doi.org/10.46793/uzdanica20.1.229s.

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This paper deals with the question of how a work of art, implemented in art education lessons, can help lower elementary school students develop metacognitive learning strategies with an emphasis on both their own learning and learning of others. Metacognitive activities related to art encourage students to explore, reflect and learn about their personal knowledge. The contribution of cognitive and affective aspects of learning in teaching art through observation and study of a work of art can be explained using the American psychologist Gardner’s theory of multiple intelligences and the princ

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PONTELLI, ENRICO, KAREN VILLAVERDE, HAI-FENG GUO, and GOPAL GUPTA. "PALS: Efficient Or-Parallel execution of Prolog on Beowulf clusters." Theory and Practice of Logic Programming 7, no. 6 (2007): 633–95. http://dx.doi.org/10.1017/s1471068406002985.

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AbstractThis paper describes the development of thePALSsystem, an implementation of Prolog capable of efficiently exploiting or-parallelism ondistributed-memoryplatforms—specifically Beowulf clusters. PALS makes use of a novel technique, calledincremental stack-splitting. The technique proposed builds on the stack-splitting approach, previously described by the authors and experimentally validated on shared-memory systems, which in turn is an evolution of the stack-copying method used in a variety of parallel logic and constraint systems—e.g., MUSE, YAP, and Penny. The PALS system is the first

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Novak, Snizhana. "IMAGE OF THE UKRAINIAN EMIGRANT IN THE SMALL PROSE OF VOLODYMYR BIRCHAK." Polish Studies of Kyiv, no. 35 (2019): 267–71. http://dx.doi.org/10.17721/psk.2019.35.267-271.

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The article analyzes the peculiarities of the formation of V. Birchak a collective image of a nationally conscious Ukrainian-emigrant, endowed with many virtues and disadvantages, forced to overcome the challenges of the emigrant fate. Considered the writer’s understanding of the events of the life of Ukrainian emigration after the defeat of the national liberation struggles of 1918 – 1920, in which the prose writer also participated directly, because of which he also lived and worked on emigration. Volodymyr Birchak (1881– 1952) is one of the founders of the Lviv Modernist literary group Youn

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Artizov, A. N., and S. V. Kudryashov. "French Documents on the Beginning of the World War II." MGIMO Review of International Relations, no. 3(66) (July 28, 2019): 202–46. http://dx.doi.org/10.24833/2071-8160-2019-3-66-202-246.

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The Federal archival agency, the Russian Ministry of foreign affairs and the Russian Historical Society organized in 2018 a large-scale historical documentary project (an exhibition and online publication) on the background and consequences of the Munich Agreement (November 1937 – March 1938)11 This year marked by the 80th anniversary of the beginning of Second World War the project is to be continued in the form of an exhibition and an online publication of archival documents. We offer our readers some French documents. They are stored at the Russian State Military Archive in the fund «The Mi

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"« musé intelligent »?" Museum International (Edition Francaise) 41, no. 4 (2009): 241–43. http://dx.doi.org/10.1111/j.1755-5825.1989.tb01224.x.

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Malevé, Nicolas. "On the data set’s ruins." AI & SOCIETY, November 11, 2020. http://dx.doi.org/10.1007/s00146-020-01093-w.

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Abstract Computer vision aims to produce an understanding of digital image’s content and the generation or transformation of images through software. Today, a significant amount of computer vision algorithms rely on techniques of machine learning which require large amounts of data assembled in collections, or named data sets. To build these data sets a large population of precarious workers label and classify photographs around the clock at high speed. For computers to learn how to see, a scale articulates macro and micro dimensions: the millions of images culled from the internet with the fe

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Webb, P. Taylor, Marcelina Piotrowski, and Petra Mikulan. "Contagious Education." Matter: Journal of New Materialist Research 3, no. 1 (2022). http://dx.doi.org/10.1344/jnmr.v3i1.38965.

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The use of data to govern education is increasingly supported by the use of knowledge-based technologies, including algorithms, artificial intelligence (AI), and tracking technologies. Rather than accepting these technologies as possibilities to improve, reform, or more efficiently practice education, this intra-view discusses how these technologies portend possibilities to escape education. The intra-view revolves around Luciana Parisi’s idea of “digital contagions” and participants muse about the contagious opportunities to escape the biopolitical, colonial, and historical rationalities that

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Moya, Diego, Dennis Copara, Alexis Olivo, Christian Castro, Sara Giarola, and Adam Hawkes. "MUSE-RASA captures human dimension in climate-energy-economic models via global geoAI-ML agent datasets." Scientific Data 10, no. 1 (2023). http://dx.doi.org/10.1038/s41597-023-02529-w.

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AbstractThis article provides a combined geospatial artificial intelligence-machine learning, geoAI-ML, agent-based, data-driven, technology-rich, bottom-up approach and datasets for capturing the human dimension in climate-energy-economy models. Seven stages were required to conduct this study and build thirteen datasets to characterise and parametrise geospatial agents in 28 regions, globally. Fundamentally, the methodology starts collecting and handling data, ending with the application of the ModUlar energy system Simulation Environment (MUSE), ResidentiAl Spatially-resolved and temporal-e

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Yan, Dengcheng, Youwen Zhang, Wenxin Xie, Ying Jin, and Yiwen Zhang. "MUSE: Multi-faceted Attention for Signed Network Embedding." Neurocomputing, November 2022. http://dx.doi.org/10.1016/j.neucom.2022.11.021.

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Tato, Ange, and Roger Nkambou. "Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments." Frontiers in Artificial Intelligence 5 (June 3, 2022). http://dx.doi.org/10.3389/frai.2022.921476.

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Machine learning models are biased toward data seen during the training steps. The models will tend to give good results in classes where there are many examples and poor results in those with few examples. This problem generally occurs when the classes to predict are imbalanced and this is frequent in educational data where for example, there are skills that are very difficult or very easy to master. There will be less data on students that correctly answered questions related to difficult skills and who incorrectly answered those related to skills easy to master. In this paper, we tackled th

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Zainab, Rida, and Muhammad Majid. "Emotion Recognition based on EEG Signals in Response to Bilingual Music Tracks." International Arab Journal of Information Technology 18, no. 3 (2021). http://dx.doi.org/10.34028/iajit/18/3/4.

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Emotions are vital for communication in daily life and their recognition is important in the field of artificial intelligence. Music help evoking human emotions and brain signals can effectively describe human emotions. This study utilized Electroencephalography (EEG) signals to recognize four different emotions namely happy, sad, anger, and relax in response to bilingual (English and Urdu) music. Five genres of English music (rap, rock, hip-hop, metal, and electronic) and five genres of Urdu music (ghazal, qawwali, famous, melodious, and patriotic) are used as an external stimulus. Twenty-sev

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Hirota, N., S. Suzuki, T. Arita, et al. "Prediction of atrial fibrillation by 12-lead electrocardiogram parameters in patients without structural heart disease." European Heart Journal 41, Supplement_2 (2020). http://dx.doi.org/10.1093/ehjci/ehaa946.0536.

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Abstract Background Recently, the analysis of electrocardiogram (ECG) waveform by artificial intelligence has been reported to pick out those who have atrial fibrillation (AF) or have a high potential of developing AF, which, however, cannot explain the mechanisms or algorisms for the prediction from its nature. Purpose The purpose of this study is to conduct a comprehensive analysis to investigate the difference of weighting in predicting capability for AF among hundreds of automatically-measured ECG parameters using a single ECG at sinus rhythm. Methods and results Out of Shinken Database 20

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Mallan, Kerry Margaret, and Annette Patterson. "Present and Active: Digital Publishing in a Post-print Age." M/C Journal 11, no. 4 (2008). http://dx.doi.org/10.5204/mcj.40.

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At one point in Victor Hugo’s novel, The Hunchback of Notre Dame, the archdeacon, Claude Frollo, looked up from a book on his table to the edifice of the gothic cathedral, visible from his canon’s cell in the cloister of Notre Dame: “Alas!” he said, “this will kill that” (146). Frollo’s lament, that the book would destroy the edifice, captures the medieval cleric’s anxiety about the way in which Gutenberg’s print technology would become the new universal means for recording and communicating humanity’s ideas and artistic expression, replacing the grand monuments of architecture, human engineer

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O'Meara, Radha. "Do Cats Know They Rule YouTube? Surveillance and the Pleasures of Cat Videos." M/C Journal 17, no. 2 (2014). http://dx.doi.org/10.5204/mcj.794.

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Did you see the videos where the cat jumps in the box, attacks the printer or tries to leap from the snowy car? As the availability and popularity of watching videos on the Internet has risen rapidly in the last decade, so has the prevalence of cat videos. Although the cuteness of YouTube videos of cats might make them appear frivolous, in fact there is a significant irony at their heart: online cat videos enable corporate surveillance of viewers, yet viewers seem just as oblivious to this as the cats featured in the videos. Towards this end, I consider the distinguishing features of contempor

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Brien, Donna Lee. "The Real Filth in American Psycho." M/C Journal 9, no. 5 (2006). http://dx.doi.org/10.5204/mcj.2657.

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   1991 An afternoon in late 1991 found me on a Sydney bus reading Brett Easton Ellis’ American Psycho (1991). A disembarking passenger paused at my side and, as I glanced up, hissed, ‘I don’t know how you can read that filth’. As she continued to make her way to the front of the vehicle, I was as stunned as if she had struck me physically. There was real vehemence in both her words and how they were delivered, and I can still see her eyes squeezing into slits as she hesitated while curling her mouth around that final angry word: ‘filth’. Now, almost fifteen years later, the

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