Showing results 4241 to 4260 of 14185
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 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 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 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-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 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 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 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 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 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 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 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 |
Deep Red Phosphorescence of Cyclometalated Iridium Complexes by o-Carborane Substitution Bae, Hye Jin; Chung, Jin; Kim, Hyungjun; Park, Jihyun; Lee, Kang-Mun; Koh, Tae-Wook; Lee, Yoon Sup; et al, INORGANIC CHEMISTRY, v.53, no.1, pp.128 - 138, 2014-01 |
Deep Reinforcement Learning-Based Optimal and Fast Hybrid Equalizer Design Method for High-Bandwidth Memory (HBM) Module Choi, Seonguk; Son, Keeyoung; Park, Hyunwook; Kim, SeongGuk; Sim, Boogyo; Kim, Jihun; Park, Joonsang; et al, IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, v.13, no.11, pp.1804 - 1816, 2023-11 |
Deep Scanning-Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System Kim, Minhoe; Lee, Woongsup; Cho, Dong-Ho, ELECTRONICS, v.9, no.11, 2020-11 |
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