Search Results - "Young Tae Heo"

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  1. 1

    Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor Data by Kim, Doyun, Heo, Tae-Young

    Published in Sensors (Basel, Switzerland) (23-03-2022)
    “…Hydraulic systems are advanced in function and level as they are used in various industrial fields. Furthermore, condition monitoring using internet of things…”
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    Journal Article
  2. 2

    Brassinosteroid‐BZR1/2‐WAT1 module determines the high level of auxin signalling in vascular cambium during wood formation by Lee, Jinsu, Kim, Hyemin, Park, Sin‐Gi, Hwang, Hyeona, Yoo, Seung‐il, Bae, Wonsil, Kim, Eunhui, Kim, Jaehoon, Lee, Hwa‐Yong, Heo, TaeYoung, Kang, Kwon Kyoo, Lee, Yuree, Hong, Chang Pyo, Cho, Hyunwoo, Ryu, Hojin

    Published in The New phytologist (01-05-2021)
    “…Summary The tight regulation of local auxin homeostasis and signalling maxima in xylem precursor cells specifies the organising activity of the vascular…”
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  3. 3

    Co‐assembly behavior of oppositely charged thermoresponsive elastin‐like polypeptide block copolymers by Choi, Jeong‐Wan, Heo, TaeYoung, Choi, Heelak, Choi, Soo‐Hyung, Won, Jong‐In

    Published in Journal of applied polymer science (10-10-2022)
    “…The formation of complex coacervate core micelles (C3Ms) was observed by mixing two oppositely charged elastin‐like polypeptides (ELP)‐based diblock…”
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  4. 4

    Explainable artificial intelligence for the interpretation of ensemble learning performance in algal bloom estimation by Park, Jungsu, Seong, Byeongchan, Park, Yeonjeong, Lee, Woo Hyoung, Heo, TaeYoung

    Published in Water environment research (01-10-2024)
    “…Chlorophyll‐a (Chl‐a) concentrations, a key indicator of algal blooms, were estimated using the XGBoost machine learning model with 23 variables, including…”
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  5. 5

    Brassinosteroids facilitate xylem differentiation and wood formation in tomato by Lee, Jinsu, Han, Seahee, Lee, Hwa-Yong, Jeong, Bomi, Heo, Tae-Young, Hyun, Tae Kyung, Kim, Kyunghwan, Je, Byoung Il, Lee, Horim, Shim, Donghwan, Park, Soon Ju, Ryu, Hojin

    Published in Planta (01-05-2019)
    “…Brassinosteroid (BR) signaling and BR crosstalk with diverse signaling cues are involved in the pleiotropic regulation of plant growth and development. Recent…”
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  6. 6

    Artificial Intelligence-based Prediction of Diabetes and Prediabetes Using Health Checkup Data in Korea by Yuk, Hyeonseop, Gim, Juhui, Min, Jung Kee, Yun, Jaesuk, Heo, Tae-Young

    Published in Applied artificial intelligence (31-12-2022)
    “…The economic burden of Type 2 Diabetes (T2D) on society has increased over time. Early prediction of diabetes and prediabetes can reduce treatment cost and…”
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  7. 7

    New machine learning-based automatic high-throughput video tracking system for assessing water toxicity using Daphnia Magna locomotory responses by Kim, Jaehoon, Yuk, Hyeonseop, Choi, Byeongwook, Yang, MiSuk, Choi, SongBum, Lee, Kyoung-Jin, Lee, Sungjong, Heo, Tae-Young

    Published in Scientific reports (02-03-2023)
    “…Daphnia magna is an important organism in ecotoxicity studies because it is sensitive to toxic substances and easy to culture in laboratory conditions. Its…”
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  8. 8

    Universal inherent fluctuations in statistical counting of large particles in slurry used for semiconductor manufacturing by Lee, Manhee, Kim, Dongwon, Heo, Tae-Young, Park, Taewon, Kim, Wonjung, Choi, Daejin, Kim, Hyunwoo, Kim, Jaehyun

    Published in Scientific reports (07-09-2020)
    “…In the chemical mechanical polishing process of semiconductor manufacturing, the concentration of ‘large’ particles ( ≥ 0.5 μm) in the slurry, which is…”
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  9. 9

    Modulation of Synaptic Plasticity Mimicked in Al Nanoparticle‐Embedded IGZO Synaptic Transistor by Kim, Jeehoon, Kim, Younghun, Kwon, Ojun, Kim, Taehyeon, Oh, Seyoung, Jin, Soeun, Park, Woojin, Kwon, Jung‐Dae, Hong, Seung‐Woo, Lee, Chang‐Sik, Ryu, Ho‐Yong, Hong, Seoksu, Kim, Jaehoon, Heo, TaeYoung, Cho, Byungjin

    Published in Advanced electronic materials (01-04-2020)
    “…Diverse artificial synapse structures and materials are widely proposed for neuromorphic hardware systems beyond von Neumann architecture owing to their…”
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  10. 10

    Trends in the Approval and Quality Management of Artificial Intelligence Medical Devices in the Republic of Korea by Lim, Kyoungtaek, Heo, Tae-Young, Yun, Jaesuk

    Published in Diagnostics (Basel) (30-01-2022)
    “…Artificial intelligence (AI) is being implemented in many areas of medicine, such as patient-customized diagnosis. Growth in the artificial intelligence…”
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  11. 11

    Molecular Exchange Kinetics in Complex Coacervate Core Micelles: Role of Associative Interaction by Heo, Tae-Young, Kim, Sojeong, Chen, Liwen, Sokolova, Anna, Lee, Sangwoo, Choi, Soo-Hyung

    Published in ACS macro letters (21-09-2021)
    “…Molecular exchange dynamics between spherical complex coacervate core micelles (C3Ms) are documented using time-resolved small-angle neutron scattering…”
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  12. 12

    Accumulation of compatible solutes in rice (Oryza sativa L.) cultivars by inoculation of endophytic plant growth promoting bacteria to alleviate salt stress by Ahmed, Shamim, Heo, Tae-Young, Roy Choudhury, Aritra, Walitang, Denver I., Choi, Jeongyun, Sa, Tongmin

    Published in Applied biological chemistry (01-12-2021)
    “…Salinization of agricultural lands, particularly rice paddies, results in the drastic decline of crop yields. Soil salinization impacts the plant physiology by…”
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  13. 13

    Nitrification and Denitrification Gene Abundances under Stable Soil Chemical Properties Established by Long-Term Compost Fertilization by Walitang, Denver I., Kim, Kiyoon, Lee, Yi, Heo, Tae-Young, Sa, Tongmin

    Published in Applied sciences (01-10-2023)
    “…Rice paddies are dynamic areas for microbe-mediated nitrogen cycling and this could be driven by the long-term alteration of paddy soil edaphic factors. The…”
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  14. 14

    Effect of Ionic Group on the Complex Coacervate Core Micelle Structure by Heo, Tae-Young, Kim, Inhye, Chen, Liwen, Lee, Eunji, Lee, Sangwoo, Choi, Soo-Hyung

    Published in Polymers (10-03-2019)
    “…Pairs of ionic group dependence of the structure of a complex coacervate core micelle (C3M) in an aqueous solution was investigated using DLS, cryo-TEM, and…”
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  15. 15

    Development of a Fundus Image-Based Deep Learning Diagnostic Tool for Various Retinal Diseases by Kim, Kyoung Min, Heo, Tae-Young, Kim, Aesul, Kim, Joohee, Han, Kyu Jin, Yun, Jaesuk, Min, Jung Kee

    Published in Journal of personalized medicine (21-04-2021)
    “…Artificial intelligence (AI)-based diagnostic tools have been accepted in ophthalmology. The use of retinal images, such as fundus photographs, is a promising…”
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  16. 16

    Analysis of the Railway Accident-Related Damages in South Korea by Park, Man Sik, Eom, Jin Ki, Choi, Jungsoon, Heo, Tae-Young

    Published in Applied sciences (01-12-2020)
    “…Railway accidents are critical issues characterized by a large number of injuries and fatalities per accident due to massive public transport systems. This…”
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  17. 17

    Acoustic Classification of Mosquitoes using Convolutional Neural Networks Combined with Activity Circadian Rhythm Information by Kim, Jaehoon, Oh, Jeongkyu, Heo, Tae-Young

    “…Many researchers have used sound sensors to record audio data from insects, and used these data as inputs of machine learning algorithms to classify insect…”
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  18. 18

    Changes in Soil Chemical Properties Due to Long-Term Compost Fertilization Regulate Methane Turnover Related Gene Abundances in Rice Paddy by Kim, Chungwoo, Walitang, Denver I., Roy Choudhury, Aritra, Lee, Yi, Lee, Sanghun, Chun, Hyenchung, Heo, Tae-Young, Park, Kido, Sa, Tongmin

    Published in Applied sciences (01-03-2022)
    “…Maintaining rice yield, soil function, and fertility are essential components of long-term compost fertilization. However, paddy fields are major sources of…”
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  19. 19

    Development of a Deep-Learning-Based Artificial Intelligence Tool for Differential Diagnosis between Dry and Neovascular Age-Related Macular Degeneration by Heo, Tae-Young, Kim, Kyoung Min, Min, Hyun Kyu, Gu, Sun Mi, Kim, Jae Hyun, Yun, Jaesuk, Min, Jung Kee

    Published in Diagnostics (Basel) (28-04-2020)
    “…The use of deep-learning-based artificial intelligence (AI) is emerging in ophthalmology, with AI-mediated differential diagnosis of neovascular age-related…”
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  20. 20

    Prediction of Complex Odor from Pig Barn Using Machine Learning and Identifying the Influence of Variables Using Explainable Artificial Intelligence by Lee, Do-Hyun, Lee, Sang-Hun, Woo, Saem-Ee, Jung, Min-Woong, Kim, Do-yun, Heo, Tae-Young

    Published in Applied sciences (01-12-2022)
    “…Odor is a very serious problem worldwide. Thus, odor prediction research has been conducted consistently to help prevent odor. Odor substances that are complex…”
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