Results 11 to 20 of about 24,115,596 (260)
Multimodal Data Fusion based on the Global Workspace Theory [PDF]
, 2020 We propose a novel neural network architecture, named the Global Workspace Network (GWN), which addresses the challenge of dynamic and unspecified uncertainties in multimodal data fusion.
Bianchi-Berthouze, N +3 more
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Multimodal Intercultural Information and Communication Technology - A Framework for Designing and Evaluating Multimodal Intercultural Communicators [PDF]
, 2009 Även tillgänglig i Hprints: http://hprints.org/hprints-00504104The paper presents a framework, combined with a checklist for designing and evaluating multimodal, intercultural ICT, especially when embodied artificial communicators are used as front ends
Ahlsén, Elisabeth +5 more
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Scalable Multimodal Factorization for Learning from Very Big Data
, 2018 Recent technology advances in data acquisition bring to re- search communities new opportunities as well as new challenges. They enable researchers to acquire multiple modes of information about the real world. This multimodal data can be naturally and e
Liu, W, Quan, D
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Designing multimodal classrooms for social justice [PDF]
, 2014 This is an Accepted Manuscript of an article published by Taylor & Francis in Classroom Discourse on 24 Jan 2014, available online: http://www.tandfonline.com/10.1080/19463014.2013.859842.This paper explores the ways in which multimodal classroom ...
Archer, Arlene
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AVB81: A Fine-Grained Audiovisual Dataset and Benchmark for Bird Classification in the Wild
AnimalsAutomated bird monitoring plays a crucial role in ecoinformatics and biodiversity conservation. Despite significant advancements in fine-grained visual classification, targets in complex wild environments frequently encounter interferences such as long ...
Xiaodong Zhao +2 more
doaj +1 more source
Beyond accuracy: AI-based bird behavior automated recognition toward ecological understanding
Avian ResearchUnderstanding bird behavior is fundamental to avian ecology, conservation, and evolutionary biology. Advances in sensing technologies and artificial intelligence (AI) have enabled automated detection of avian activities at unprecedented scales.
Xiaodong Zhao +3 more
doaj +1 more source
Multimodal Data Fusion in Learning Analytics: A Systematic Review
Sensors, 2020 Multimodal learning analytics (MMLA), which has become increasingly popular, can help provide an accurate understanding of learning processes. However, it is still unclear how multimodal data is integrated into MMLA.
Su Mu, Meng Cui, Xiaodi Huang
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, 2020 This dataset contains electrical and materials measurements for the analysis of the journal article titled "Halide Perovskite Quantum Dots Photosensitized-Amorphous Oxide Transistors for Multimodal ...
Subramanian Periyal Srilakshmi
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An Incremental Multimodal Realizer for Behavior Co-Articulation and Coordination [PDF]
, 2012 van Welbergen H, Reidsma D, Kopp S. An Incremental Multimodal Realizer for Behavior Co-Articulation and Coordination. In: Nakano Y, Neff M, Paiva A, Walker M, eds. Intelligent virtual agents : 12th international conference, proceedings.
Paiva, Ana +16 more
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Journal of Sensor and Actuator NetworksThis paper proposes a priority-aware EP-ALOHA framework with predictive radio resource allocation for heterogeneous machine-to-machine (M2M) devices in 5G massive machine-type communication (mMTC) networks.
Ulugbek Amirsaidov +6 more
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