Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Hyunjae Cho"'
1
Akademický článek
A critical review on machine learning applications in fiber composites and nanocomposites: Towards a control loop in the chain of processes in industries
Autor: Allan Gomez-Flores, Hyunjae Cho, Gilsang Hong, Hyojeong Nam, Hyunjung Kim, Yongsik Chung
Publikováno v: Materials & Design, Vol 245, Iss , Pp 113247- (2024)
Fiber composites must be evaluated to achieve correct use in various fields. Their properties, performance, condition, and integrity can be quickly predicted and optimized by machine learning (ML), after extensive training, compared with experiments
Externí odkaz: https://doaj.org/article/21b1361994e247a18b1169e48f1cec6d
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2
Akademický článek
Construction of one-dimensional random walk lattices using DNA algorithmic self-assembly
Autor: Muhammad Tayyab Raza, Anshula Tandon, Junyoung Son, Suyoun Park, Sungjin Lee, Hyunjae Cho, Tai Hwan Ha, Sung Ha Park
Publikováno v: AIP Advances, Vol 10, Iss 6, Pp 065229-065229-5 (2020)
Algorithmic DNA lattices are constructed using pre-defined rules such as COPY, NOT, and XOR, where patterns are predicted based on initial values. However, the experimental implementation of an unpredictable random walk pattern (which is the implemen
Externí odkaz: https://doaj.org/article/647330482d7e48a49d5065a99d23deb1
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7
SANE-TTS: Stable And Natural End-to-End Multilingual Text-to-Speech
Autor: Hyunjae Cho, Wonbin Jung, Junhyeok Lee, Sang Hoon Woo
Publikováno v: Interspeech 2022.
In this paper, we present SANE-TTS, a stable and natural end-to-end multilingual TTS model. By the difficulty of obtaining multilingual corpus for given speaker, training multilingual TTS model with monolingual corpora is unavoidable. We introduce sp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4f55c9a2d6e0bdb3746f4cd88675dac
https://doi.org/10.21437/interspeech.2022-46
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9
Talking Face Generation with Multilingual TTS
Autor: Hyoung-Kyu Song, Sang Hoon Woo, Junhyeok Lee, Seungmin Yang, Hyunjae Cho, Youseong Lee, Dongho Choi, Kang-Wook Kim
Publikováno v: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
In this work, we propose a joint system combining a talking face generation system with a text-to-speech system that can generate multilingual talking face videos from only the text input. Our system can synthesize natural multilingual speeches while
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aa0bc34fcab78e332da5ee0b1bce480
https://doi.org/10.1109/cvpr52688.2022.02074
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10
FloraVision: A Spatial Crowd-based Learning System for California Native Plants
Autor: Hyunjae Cho, Seon Ho Kim, George Constantinou, Cyrus Shahabi, Onur Orhan, Abdullah Alfarrarjeh, Roopal Kondepudi
Publikováno v: ICDE
With the availability of massive amounts of visual data covering wide geographical regions, various image learning applications have emerged, including classifying the street cleanliness level, detecting forest fires or road hazards. Such application
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2268b9a3389233ed9bae3153f857855
https://doi.org/10.1109/icde51399.2021.00313
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