Browse "College of Engineering(공과대학)" by Type Article
Showing results 14341 to 14400 of 62213
| Deep Convolutional Neural Network for Identifying Seam-Carving Forgery Nam, Seung-Hun; Ahn, Wonhyuk; Yu, In-Jae; Kwon, Myung-Joon; Son, Minseok; Lee, Heung-Kyu, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.31, no.8, pp.3308 - 3326, 2021-08 |
| Deep Convolutional Neural Network for Natural Image Matting Using Initial Alpha Mattes Cho, Donghyeon; Tai, Yu-Wing; Kweon, In So, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.28, no.3, pp.1054 - 1067, 2019-03 |
Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction Han, Youngmahn; Kim, Dongsup, BMC BIOINFORMATICS, v.18, 2017-12 |
| Deep Cooperative Sensing: Cooperative Spectrum Sensing Based on Convolutional Neural Networks Lee, Woongsup; Minhoe Kim; Cho, Dong-Ho, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.68, no.3, pp.3005 - 3009, 2019-03 |
| Deep Depth from Uncalibrated Small Motion Clip Im, Sunghoon; Ha, Hyowon; Jeon, Hae-Gon; Lin, Stephen; Kweon, In So, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.43, no.4, pp.1225 - 1238, 2021-04 |
| Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data Kim, Hyojoong; Kim, Heeyoung, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.61, no.4, pp.1101 - 1113, 2023-03 |
| Deep eutectic solvents as attractive media for CO2 capture Trivedi, Tushar J.; Lee, Ji Hoon; Lee, Hyeon Jeong; Jeong, You Kyeong; Choi, Jang Wook, GREEN CHEMISTRY, v.18, no.9, pp.2834 - 2842, 2016 |
| Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion Yoo, ByungIn; Kwak, Youngjun; Kim, Youngsung; Choi, Changkyu; Kim, Junmo, IEEE SIGNAL PROCESSING LETTERS, v.25, no.6, pp.808 - 812, 2018-06 |
| Deep feature based efficient regularised ensemble for engagement recognition Park, YM; Lee, GM; Yang, Hyun-Seung, ELECTRONICS LETTERS, v.55, no.24, pp.1281 - 1282, 2019-11 |
| Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation Lee, Han Sang; Hong, Helen; Kim, Junmo; Jung, Dae Chul, MEDICAL PHYSICS, v.45, no.4, pp.1550 - 1561, 2018-04 |
| Deep focus light-field camera for handheld 3D intraoral scanning using crosstalk-free solid immersion microlens arrays Kwon, Jae-Myeong; Bae, Sang-In; Kim, Taehan; Kim, Jeong Kun; Jeong, Ki-Hun, APL BIOENGINEERING, v.7, no.3, 2023-09 |
| Deep Full-Body Motion Network (DFM-Net) for a Soft Wearable Motion Sensing Suit Kim, Dooyoung; Kwon, Junghan; Han, Seunghyun; Park, Yong-Lae; Jo, Sungho, IEEE-ASME TRANSACTIONS ON MECHATRONICS, v.24, no.1, pp.56 - 66, 2019-02 |
| Deep Gaussian process models for integrating multifidelity experiments with nonstationary relationships Ko, Jongwoo; Kim, Heeyoung, IISE TRANSACTIONS, v.54, no.7, pp.686 - 698, 2022-07 |
| Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization Park, Young-Jin; Tagade, Piyush M.; Choi, Han-Lim, IEEE ACCESS, v.6, pp.49432 - 49449, 2018-10 |
| Deep Generative Design: Integration of Topology Optimization and Generative Models Oh, Sangeun; Jung, Yongsu; Kim, Seongsin; Lee, Ikjin; Kang, Namwoo, JOURNAL OF MECHANICAL DESIGN, v.141, no.11, 2019-11 |
| Deep Generative Models-Based Anomaly Detection for Spacecraft Control Systems Ahn, Hyojung; Jung, Dawoon; Choi, Han-Lim, SENSORS, v.20, no.7, 2020-04 |
| Deep Generative Tread Pattern Design Framework for Efficient Conceptual Design Lee, Mingyu; Park, Youngseo; Jo, Hwisang; Kim, Kibum; Lee, Seungkyu; Lee, Ikjin, JOURNAL OF MECHANICAL DESIGN, v.144, no.7, 2022-07 |
| Deep hybrid recommender systems via exploiting document context and statistics of items Kim, Donghyun; Park, Chanyoung; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.417, pp.72 - 87, 2017-11 |
| Deep introspective SLAM: deep reinforcement learning based approach to avoid tracking failure in visual SLAM Naveed, Kanwal; Anjum, Muhammad Latif; Hussain, Wajahat; Lee, Donghwan, AUTONOMOUS ROBOTS, v.46, no.6, pp.705 - 724, 2022-08 |
| Deep Iterative Frame Interpolation for Full-frame Video Stabilization Choi, Jinsoo; Kweon, In-So, ACM TRANSACTIONS ON GRAPHICS, v.39, no.1, 2020-02 |
| Deep learned finite elements Jung, Jaeho; Yoon, Kyungho; Lee, Phill-Seung, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.372, 2020-12 |
| Deep learning acceleration of multiscale superresolution localization photoacoustic imaging Kim, Jongbeom; Kim, Gyuwon; Li, Lei; Zhang, Pengfei; Kim, Jin Young; Kim, Yeonggeun; Kim, Hyung Ham; et al, LIGHT-SCIENCE & APPLICATIONS, v.11, no.1, 2022-05 |
| Deep Learning Algorithm With Residual Blocks for Chemical Gas Concentration Estimation Jang, Hee-Deok; Park, Jae-Hyeon; Chang, Dong Eui; Seo, Hyun-Soo; Nam, Hyunwoo, Journal of Institute of Control, Robotics and Systems, v.29, no.7, pp.556 - 561, 2023-07 |
| Deep learning application to time-series prediction of daily chlorophyll-a concentration Cho, HyungMin; Choi, U-Jin; Park, Heekyung, WIT Transactions on Ecology and the Environment, v.215, pp.157 - 163, 2018-10 |
| Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study Kwon, Soonil; Hong, Joonki; Choi, Eue-Keun; Lee, Euijae; Hostallero, David Earl; Kang, Wan Ju; Lee, Byunghwan; et al, JMIR MHEALTH AND UHEALTH, v.7, no.6, 2019-06 |
| Deep learning based cough detection camera using enhanced features Lee, Gyeong-Tae; Nam, Hyeonuk; Kim, Seong-Hu; Choi, Sang-Min; Kim, Youngkey; Park, Yong-Hwa, EXPERT SYSTEMS WITH APPLICATIONS, v.206, 2022-11 |
| Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data Lee, Chanseok; Song, Gookho; Kim, Hyeonggeon; Ye, Jong Chul; Jang, Mooseok, NATURE MACHINE INTELLIGENCE, v.5, no.1, pp.35 - 45, 2023-01 |
| Deep Learning Based Pilot Allocation Scheme (DL-PAS) for 5G Massive MIMO System Kim, Kwihoon; Lee, Joohyung; Choi, Junkyun, IEEE COMMUNICATIONS LETTERS, v.22, no.4, pp.828 - 831, 2018-04 |
| Deep Learning Based Transmit Power Control in Underlaid Device-to-Device Communication Lee, Woong-Sup; Kim, Minhoe; Cho, Dong-Ho, IEEE SYSTEMS JOURNAL, v.13, no.3, pp.2551 - 2554, 2019-09 |
| Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets Oh, Yujin; Park, Sangjoon; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.8, pp.2688 - 2700, 2020-08 |
| Deep Learning Diffuse Optical Tomography Yoo, Jaejun; Sabir, Sohail; Heo, Duchang; Kim, Kee Hyun; Wahab, Abdul; Choi, Yoonseok; Lee, Seul-, I; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.4, pp.877 - 887, 2020-04 |
| Deep learning enables accurate analysis of images generated from droplet-based digital polymerase chain reaction (dPCR) Song, Younseong; Lim, Seongjin; Kim, Yong Tae; Park, Yoo Min; Jo, Da Ae; Bae, Nam Ho; Lee, Seok Jae; et al, SENSORS AND ACTUATORS B-CHEMICAL, v.379, 2023-03 |
| Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.116, no.28, pp.13996 - 14001, 2019-07 |
| Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy Park, Hyoungjun; Na, Myeongsu; Kim, Bumju; Park, Soohyun; Kim, Ki Hean; Chang, Sunghoe; Ye, Jong Chul, NATURE COMMUNICATIONS, v.13, no.1, 2022-06 |
| Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL-PACT) Choi, Seongwook; Yang, Jinge; Lee, Soo Young; Kim, Jiwoong; Lee, Jihye; Kim, Won Jong; Lee, Seungchul; et al, ADVANCED SCIENCE, v.10, no.1, 2023-01 |
| Deep learning for determining a near-optimal topological design without any iteration Yu, Yonggyun; Hur, Taeil; Jung, Jaeho; Jang, In Gwun, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.59, no.3, pp.787 - 799, 2019-03 |
| Deep Learning for HDR Imaging: State-of-the-Art and Future Trends Wang, Lin; Yoon, Kuk-Jin, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.8874 - 8895, 2022-12 |
| Deep learning for lensless imaging Kim, Hyeonggeon; Song, Gookho; You, Jong-in; Lee, Chanseok; Jang, Mooseok, JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v.81, no.6, pp.570 - 579, 2022-09 |
| Deep learning for metabolic pathway design Ryu, Gahyeon; Kim, Gi Bae; Yu, Taeho; Lee, Sang Yup, METABOLIC ENGINEERING, v.80, pp.130 - 141, 2023-11 |
| Deep learning for tomographic image reconstruction Wang, Ge; Ye, Jong Chul; De Man, Bruno, NATURE MACHINE INTELLIGENCE, v.2, no.12, pp.737 - 748, 2020-12 |
| Deep learning framework for material design space exploration using active transfer learning and data augmentation Kim, Yongtae; Kim, Youngsoo; Yang, Charles; Park, Kundo; Gu, Grace X.; Ryu, Seunghwa, NPJ COMPUTATIONAL MATERIALS, v.7, no.1, 2021-09 |
| Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks Shin, Yu Yol; Kim, Nam Woo; Lee, Hyeyeong; In, Soh Young; Hansen, Mark; Yoon, Yoonjin, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v.132, 2024-06 |
| Deep learning improves prediction of drug-drug and drug-food interactions Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.115, no.18, pp.E4304 - E4311, 2018-05 |
| Deep Learning in Biological Image and Signal Processing Meijering, Erik; Calhoun, Vince D.; Menegaz, Gloria; Miller, David J.; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.24 - 26, 2022-03 |
| Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison Nam, Joon Yeul; Chung, Hyung Jin; Choi, Kyu Sung; Lee, Hyuk; Kim, Tae Jun; Soh, Hosim; Kang, Eun Ae; et al, GASTROINTESTINAL ENDOSCOPY, v.95, no.2, pp.258 - +, 2022-02 |
| Deep learning model for heavy rainfall nowcasting in South Korea Oh, Seok-Geun; Son, Seok-Woo; Kim, Young-Ha; Park, Chanil; Ko, Jihoon; Shin, Kijung; Ha, Ji-Hoon; et al, WEATHER AND CLIMATE EXTREMES, v.44, 2024-06 |
| Deep learning model inspired by lateral line system for underwater object detection Jeong, Taekyeong; Yoo, Janggon; Kim, Daegyoum, BIOINSPIRATION & BIOMIMETICS, v.17, no.2, 2022-01 |
| Deep learning STEM-EDX tomography of nanocrystals Han, Yoseob; Jang, Jaeduck; Cha, Eunju; Lee, Junho; Chung, Hyungjin; Jeong, Myoungho; Kim, Tae-Gon; et al, Nature Machine Intelligence, v.3, pp.267 - 274, 2021-03 |
| Deep learning untangles the resistance mechanism of p53 reactivator in lung cancer cells Lee, Soo Min; Han, Younghyun; Cho, Kwang-Hyun, ISCIENCE, v.26, no.12, 2023-12 |
| Deep learning with domain adaptation for accelerated projection-reconstruction MR Han, Yo Seob; Yoo, Jaejun; Kim, Hak Hee; Shin, Hee Jung; Sung, Kyunghyun; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.80, no.3, pp.1189 - 1205, 2018-09 |
| Deep Learning-Aided SCMA Kim, Minhoe; Kim, Nam-I; Lee, Woongsup; Cho, Dong-Ho, IEEE COMMUNICATIONS LETTERS, v.22, no.4, pp.720 - 723, 2018-04 |
| Deep Learning-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy With a Temporal Convolutional Network Lim, Hyungtae; Ryu, Hanseok; Rhudy, Matthew B.; Lee, Dongjin; Jang, Dongjin; Lee, Changho; Park, Youngmin; et al, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.1, pp.17 - 24, 2022-01 |
| Deep learning-based amyloid PET positivity classification model in the Alzheimer's disease continuum by using 2-[F-18]FDG PET Kim, Suhong; Lee, Peter; Oh, Kyeong Taek; Byun, Min Soo; Yi, Dahyun; Lee, Jun Ho; Kim, Yu Kyeong; et al, EJNMMI RESEARCH, v.11, no.1, 2021-06 |
| Deep Learning-Based analytic framework using comprehensive urbanization index for heat vulnerability assessment in urban areas Kim, Yesuel; Kim, Youngchul, EXPERT SYSTEMS WITH APPLICATIONS, v.235, 2024-01 |
| Deep Learning-Based Bug Report Summarization Using Sentence Significance Factors Koh, Youngji; Kang, Sungwon; Lee, Seonah, APPLIED SCIENCES-BASEL, v.12, no.12, 2022-06 |
| Deep learning-based classification system of bacterial keratitis and fungal keratitis using anterior segment images Won, Yeo Kyoung; Lee, Hyebin; Kim, Youngjun; Han, Gyule; Chung, Tae-Young; Ro, Yong Man; Lim, Dong Hui, FRONTIERS IN MEDICINE, v.10, 2023-05 |
| Deep learning-based classification with improved time resolution for physical activities of children Jang, Yong Won; Kim, Seunghwan; Kim, Kiseong; Lee, Doheon, PEERJ, v.6, 2018-10 |
| Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study Kim, Youngjune; Oh, Dong Yul; Chang, Won; Kang, Eunhee; Ye, Jong Chul; Lee, Kyeorye; Kim, Hae Young; et al, EUROPEAN RADIOLOGY, v.31, no.11, pp.8755 - 8764, 2021-11 |
| Deep learning-based discriminative refocusing of scanning electron microscopy images for materials science Na, Juwon; Kim, Gyuwon; Kang, Seong-Hoon; Kim, Se-Jong; Lee, Seungchul, ACTA MATERIALIA, v.214, 2021-08 |
| Deep Learning-Based Estimation of the Unknown Road Profile and State Variables for the Vehicle Suspension System Kim, Gyuwon; Lee, Soo Young; Oh, Jong-Seok; Lee, Seungchul, IEEE ACCESS, v.9, pp.13878 - 13890, 2021 |
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