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1
A review of Earth Artificial Intelligence
Sun, Z; Sandoval, L; Crystal-Ornelas, R. - : eScholarship, University of California, 2022
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2
Towards a part-of-speech tagger for Sranan Tongo ...
Nicolás, C.V.; Viktor, Z.. - : Фонд содействия развитию интернет-медиа, ИТ-образования, человеческого потенциала "Лига интернет-медиа", 2022
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3
Les pronoms possessifs du ḥassāniyya, entre héritage et innovation due au contact
In: Studies on Arabic Dialectology and Sociolinguistics. Proceedings of the 13th International Conference of AIDA, June 10-13, 2019 ; https://halshs.archives-ouvertes.fr/halshs-03088164 ; G. Chikovani; Z. Tskhvediani. Studies on Arabic Dialectology and Sociolinguistics. Proceedings of the 13th International Conference of AIDA, June 10-13, 2019, Akaki Tsereteli State University, pp.275-284, 2022, ISBN 978-9941-495-52-6 (2022)
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4
VARIOUS DEFINITIONS OF THE TERM "LITOTES" IN THE LINGUISTIC LITERATURE ...
Z. Djabbarova. - : Zenodo, 2022
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5
MAIN MILESTONES OF MATVIY NOMYS' PEDAGOGICAL ACTIVITY ...
Shumeiko, Z.. - : Zenodo, 2022
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6
VARIOUS DEFINITIONS OF THE TERM "LITOTES" IN THE LINGUISTIC LITERATURE ...
Z. Djabbarova. - : Zenodo, 2022
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7
MAIN MILESTONES OF MATVIY NOMYS' PEDAGOGICAL ACTIVITY ...
Shumeiko, Z.. - : Zenodo, 2022
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8
VARIOUS DEFINITIONS OF THE TERM "LITOTES" IN THE LINGUISTIC LITERATURE ...
Z. Djabbarova. - : Zenodo, 2022
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9
VARIOUS DEFINITIONS OF THE TERM "LITOTES" IN THE LINGUISTIC LITERATURE ...
Z. Djabbarova. - : Zenodo, 2022
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10
Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors ...
Abstract: RF sensors have been recently proposed as a new modality for sign language processing technology. They are non-contact, effective in the dark, and acquire a direct measurement of signing kinematic via exploitation of the micro-Doppler effect. First, this work provides an in depth, comparative examination of the kinematic properties of signing as measured by RF sensors for both fluent ASL users and hearing imitation signers. Second, as ASL recognition techniques utilizing deep learning requires a large amount of training data, this work examines the effect of signing kinematics and subject fluency on adversarial learning techniques for data synthesis. Two different approaches for the synthetic training data generation are proposed: 1) adversarial domain adaptation to minimize the differences between imitation signing and fluent signing data, and 2) kinematically-constrained generative adversarial networks for accurate synthesis of RF signing signatures. The results show that the kinematic discrepancies ...
Keyword: FOS Electrical engineering, electronic engineering, information engineering; Signal Processing eess.SP
URL: https://dx.doi.org/10.48550/arxiv.2201.00055
https://arxiv.org/abs/2201.00055
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11
Supplementary Material for: Morphologic Mapping of the Sublingual Microcirculation in Healthy Volunteers ...
G., Güven; Z., Uz; M.P., Hilty. - : Karger Publishers, 2022
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12
Supplementary Material for: Morphologic Mapping of the Sublingual Microcirculation in Healthy Volunteers ...
G., Güven; Z., Uz; M.P., Hilty. - : Karger Publishers, 2022
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13
Application of Quantum Density Matrix in Classical Question Answering and Classical Image Classification ...
Zhao, X. Q.; Wan, H.; Chen, H.. - : arXiv, 2022
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14
WEB APPLICATIONS IN THE CLASSROOM MANAGEMENT USING CLIL TECHNOLOGY ...
Korazbekova, K.; Ashym, Z.; Shondybai, A.. - : Инфинити, 2022
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15
Students Tele-All: Self-Efficacy and Self-Reflection as Measures of Student Success in Telepractice Training
In: Education Sciences; Volume 12; Issue 5; Pages: 302 (2022)
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16
Lazy sons
z; Aplonova, Ekaterina; Langage, langues et cultures d'Afrique noire. - : Langage, langues et cultures d'Afrique noire, 2022
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17
A community-sourced glossary of open scholarship terms
Parsons, S; Azevedo, F; Elsherif, MM. - : Nature Research, 2022
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18
Generation, selection, and face validation of items for a new generic measure of quality of life : the EQ Health and Wellbeing
Carlton, J.; Peasgood, T.; Mukuria, C.. - : Elsevier BV, 2022
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19
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Cao, R; Wang, Y; Liang, Y. - : Association for Computational Linguistics, 2022
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20
SCIENTIFIC ANALYSIS OF LEXICOGRAPHY IN UZBEK LANGUAGE ...
S. Shermamatova; Z. Nazirova. - : Zenodo, 2022
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