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Black phosphorous-based human-machine communication interface. [PDF]
Nat Commun, 2023 AbstractAssistive technology involving auditory feedback is generally utilized by those who are visually impaired or have speech and language difficulties. Therefore, here we concentrate on an auditory human-machine interface that uses audio as a platform for conveying information between visually or speech-disabled users and society.
Vaghasiya JV +3 more
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Moving Ahead With Human-Machine Communication
Human-Machine Communication Journal, 2021 In this essay, we introduce the 10 articles comprising Volume 2 (2021) of Human-Machine Communication, each of which is innovative and offers a substantial contribution to the field of human-machine communication (HMC).
Leopoldina Fortunati, Autumn P. Edwards
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Hermeneutic Problems of Human-Machine Communication [PDF]
Гуманитарный вектор, 2020 Modern information technologies penetrate many spheres of human life and perform functions, which were previously available only for a human and to human mind. Nowadays, artificial intelligence technologies, neural network technologies are developing and
Yury M. Shaev
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Imagined interaction: visualizing human-machine communication
Journal of Digital Media & Interaction, 2018 We live in an age where consumer media technologies are hyped way before most people actually have a chance to engage with a physical product. Still, product representations, such as marketing videos, technical specifications and even software ...
Jörgen Skågeby
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SIMPLE NET DIAGRAM: HUMAN – MACHINE – COMMUNICATION
Вісник Харківського національного університету імені В.Н. Каразіна. Серія Філософія, філософські перипетіїThis article examines social mediations as practices of human transformation/modification from a historical perspective. It presents the author's own model of historical epochs, based on the understanding of humans as beings who constitute themselves ...
Oleh Perepelytsia, Vladyslav Mohylat
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Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing
IEEE Access, 2021 For decades, acoustic models in speech recognition systems pivot on Hidden Markov Models (HMMs), e.g., Gaussian Mixture Model-HMM system, Deep Neural Network-HMM system, etc., and achieve remarkable results.
Lujun Li +3 more
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IMMERSIVE VISUALIZATION OF THE QUALITY OF DIMENSIONALITY REDUCTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Dimensionality reduction is the most widely used approach for extracting the most informative low-dimensional features from highdimensional ones. During the last two decades, different techniques (linear and nonlinear) have been proposed by researchers ...
M. Babaee, M. Datcu, G. Rigoll
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Deep learning personalized recommendation-based construction method of hybrid blockchain model
Scientific Reports, 2023 This study aims to explore the construction of a personalized recommendation system (PRS) based on deep learning under the hybrid blockchain model to further improve the performance of the PRS.
Xiaomo Yu +4 more
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Tijdschrift voor CommunicatiewetenschapHumans increasingly communicate with machines, such as chatbots and social robots. This has given rise to the field of human–machine communication. Since the second half of the 2010s, ASCoR researchers have embraced research on human–machine communication and studied communicating machines both from a theoretical and an empirical perspective.
Peter, J. +5 more
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IEEE Access, 2020 Predicting attention is a popular topic at the intersection of human and computer vision. However, even though most of the available video saliency data sets and models claim to target human observers' fixations, they fail to differentiate them from ...
Mikhail Startsev, Michael Dorr
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