Browse "College of Engineering(공과대학)" by Type Article
Showing results 14401 to 14460 of 62337
| 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 |
| Deep Learning-Based Ground Vibration Monitoring: Reinforcement Learning and RNN-CNN Approach Yun, Sangseok; Kang, Jae-Mo; Ha, Jeongseok; Lee, Sangho; Ryu, Dong-Woo; Kwon, Jihoe; Kim, Il-Min, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v.19, 2022-01 |
| Deep learning-based household electric energy consumption forecasting Hyeon, Jonghwan; Lee, HyeYoung; Ko, Bowon; Choi, Ho-Jin, JOURNAL OF ENGINEERING-JOE, v.2020, no.13, pp.639 - 642, 2020-07 |
| Deep learning-based image enhancement in optical coherence tomography by exploiting interference fringe Lee, Woojin; Nam, Hyeong Soo; Seok, Jae Yeon; Oh, Wang-Yuhl; Kim, Jin Won; Yoo, Hongki, COMMUNICATIONS BIOLOGY, v.6, no.1, 2023-04 |
| Deep learning-based initial guess for minimum energy path calculations Park, Hyunsoo; Lee, Sangwon; Kim, Jihan, KOREAN JOURNAL OF CHEMICAL ENGINEERING, v.38, no.2, pp.406 - 410, 2021-02 |
| Deep learning-based inverse design for engineering systems: multidisciplinary design optimization of automotive brakes Kim, Seongsin; Jwa, Minyoung; Lee, Soonwook; Park, Sunghoon; Kang, Namwoo, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.11, 2022-11 |
| Deep Learning-Based Joint Optimization of Closed-Loop FDD mmWave Massive MIMO: Pilot Adaptation, CSI Feedback, and Beamforming Jee, Jeongju; Park, Hyuncheol, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.73, no.3, pp.4019 - 4034, 2024-03 |
| Deep learning-based method for multiple sound source localization with high resolution and accuracy Lee, Soo Young; Chang, Jiho; Lee, Seungchul, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v.161, 2021-12 |
| Deep learning-based noise robust flexible piezoelectric acoustic sensors for speech processing Jung, Young Hoon; Pham, Trung Xuan; Issa, Dias; Wang, Hee Seung; Lee, Jae Hee; Chung, Mingi; Lee, Bo-Yeon; et al, NANO ENERGY, v.101, 2022-10 |
| Deep learning-based phase prediction of high-entropy alloys: Optimization, generation, and explanation Lee, Soo Young; Byeon, Seokyeong; Kim, Hyoung Seop; Jin, Hyungyu; Lee, Seungchul, MATERIALS & DESIGN, v.197, 2021-01 |
| Deep learning-based prediction and interpretability of physical phenomena for metaporous materials Lee, Soo Young; Lee, Jihun; Lee, Joong Seok; Lee, Seungchul, MATERIALS TODAY PHYSICS, v.30, 2023-01 |
| Deep learning-based spatial refinement method for robust high-resolution PIV analysis Choi, Jun Sung; Kim, Eung Soo; Seong, Jee Hyun, EXPERIMENTS IN FLUIDS, v.64, no.3, 2023-03 |
| Deep learning-based spectrum-dose prediction for a plastic scintillation detector Hwang, Jisung; Jeon, Byoungil; Kim, Junhyeok; Kim, Hyoungtaek; Cho, Gyuseong, RADIATION PHYSICS AND CHEMISTRY, v.201, 2022-11 |
| Deep Learning-Based Sustainable Data Center Energy Cost Minimization With Temporal MACRO/MICRO Scale Management Kang, Dong Ki; Yang, Eunju; Youn, Chan-Hyun, IEEE ACCESS, v.7, pp.5477 - 5491, 2019-01 |
| Deep Learning-Enabled Detection of Pneumoperitoneum in Supine and Erect Abdominal Radiography: Modeling Using Transfer Learning and Semi-Supervised Learning Park, Sangjoon; Ye, Jong Chul; Lee, Eun Sun; Cho, Gyeongme; Yoon, Jin Woo; Choi, Joo Hyeok; Joo, Ijin; et al, KOREAN JOURNAL OF RADIOLOGY, v.24, no.6, pp.541 - 552, 2023-06 |
| Deep Learning-Enabled High-Resolution and Fast Sound Source Localization in Spherical Microphone Array System Lee, Soo Young; Chang, Jiho; Lee, Seungchul, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, v.71, 2022 |
| Deep multiplex graph infomax: Attentive multiplex network embedding using global information Park, Chanyoung; Han, Jiawei; Yu, Hwanjo, KNOWLEDGE-BASED SYSTEMS, v.197, 2020-06 |
| Deep neural network approach for fault detection and diagnosis during startup transient of liquid-propellant rocket engine Park, Soon-Young; Ahn, Jaemyung, ACTA ASTRONAUTICA, v.177, pp.714 - 730, 2020-12 |
| Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing Park, Hyunkyu; Park, Kyungseo; Mo, Sangwoo; Kim, Jung, IEEE TRANSACTIONS ON ROBOTICS, v.37, no.5, pp.1570 - 1583, 2021-10 |
| Deep Neural Network-Based Landmark Selection Method for Optical Navigation on Lunar Highlands Lee, Hoonhee; Choi, Han-Lim; Jung, Dawoon; Choi, Sujin, IEEE ACCESS, v.8, pp.99010 - 99023, 2020-05 |
| Deep neural network-based phase calibration in integrated optical phased arrays Kim, Jae-Yong; Kim, Junhyeong; Yoon, Jinhyeong; Hong, Seokjin; Neseli, Berkay; Kwon, Nam-Hyun; You, Jong-Bum; et al, SCIENTIFIC REPORTS, v.13, no.1, pp.1 - 10, 2023-11 |
| Deep Neural Network-Based Precoder for Fairness Aware Secure NOMA Scheme Lee, Jinyoung; Yun, Sangseok; Kim, Il-Min; Ha, Jeongseok, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.71, no.5, pp.5615 - 5620, 2022-05 |
| Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors Yoon, Jiyoung; Lee, Junhyeong; Kim, Giyoung; Ryu, Seunghwa; Park, Jinhyoung, SCIENTIFIC REPORTS, v.12, no.1, 2022-11 |
| Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility Lee, Hoil; Ayed, Fadhel; Jung, Paul; Lee, Juho; Yang, Hongseok; Caron, Francois, JOURNAL OF MACHINE LEARNING RESEARCH, v.24, pp.1 - 78, 2023-09 |
| Deep optical imaging within complex scattering media Yoon, Seokchan; Kim, Moonseok; Jang, Mooseok; Choi, Youngwoon; Choi, Wonjun; Kang, Sungsam; Choi, Wonshik, NATURE REVIEWS PHYSICS, v.2, no.3, pp.141 - 158, 2020-03 |
| Deep Physiological Affect Network for the Recognition of Human Emotions Kim, Byung Hyung; Jo, Sungho, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, v.11, no.2, pp.230 - 243, 2020-04 |
| Deep Power Control: Transmit Power Control Scheme Based on Convolutional Neural Network Lee, Woong-Sup; Kim, Minhoe; Cho, Dong-Ho, IEEE COMMUNICATIONS LETTERS, v.22, no.6, pp.1276 - 1279, 2018-06 |
| Deep Predictive Video Compression Using Mode-Selective Uni- and Bi-Directional Predictions Based on Multi-Frame Hypothesis Park, Woonsung; Kim, Munchurl, IEEE ACCESS, v.9, pp.72 - 85, 2021-01 |
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