검색어 : 통합검색[Introduction to deep learning :]
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951
- A Novel Reinforcement Learning Algorithm-Based Control Strategy for Grid-Configured Inverters
- Yang, Xuhong; Wang, Jingjian; College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China; College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China; (Energies, v.18, 2025, pp.597)
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952
- 0521 Validation of Deep Learning Algorithm Model in Automatic Scoring of the Respiratory Events in Adult Polysomnography
- Park, Marn Joon; Choi, Ji Ho; Ha, Tae Kyoung; Lee, Ho Dong; Lee, Young Jun; Inha University Hospital, Department of Otorhinolaryngology; Soonchunhyang University College of Medicine, Bucheon Hospital, Department of Otorhinolaryngology-Head and Neck Surgery; Honeynaps Research and Development Center, Honeynaps Co. Ltd; Honeynaps Research and Development Center, Honeynaps Co. Ltd; Honeynaps Research and Development Center, Honeynaps Co. Ltd; (Sleep : A publication of the Sleep Research Society, v.47, 2024, pp.A223-A224)
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953
- 심층 강화학습 기반 자율운항 CTV의 해상풍력발전단지 내 장애물 회피 시스템
- 김진균; 전해명; 노재규; Kunsan National University; Kunsan National University; Kunsan National University; (대한임베디드공학회논문지 = IEMEK Journal of embedded systems and applications, v.19, 2024, pp.131-139)
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954
- Traffic Scene Segmentation Based on RGB-D Image and Deep Learning
- Li, Linhui; Qian, Bo; Lian, Jing; Zheng, Weina; Zhou, Yafu; Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China; Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China; Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China; Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China; Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China; (IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council, v.19, 2018, pp.1664-1669)
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955
- Deep learning-driven medical image analysis for computational material science applications
- Lu, Li; Liang, Mingpei; ; (Frontiers in Materials, v.12, 2025, pp.1583615)
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956
- Using supervised machine learning classifiers to estimate likelihood of participating in clinical trials of a de-identified version of ResearchMatch
- Vazquez, Janette; Abdelrahman, Samir; Byrne, Loretta M.; Russell, Michael; Harris, Paul; Facelli, Julio C.; Department of Biomedical Informatics, University of Utah , Salt Lake City , UT , USA; Department of Biomedical Informatics, University of Utah , Salt Lake City , UT , USA; Vanderbilt University , Nashville , TN , USA; Vanderbilt University , Nashville , TN , USA; Vanderbilt University , Nashville , TN , USA; Department of Biomedical Informatics, University of Utah , Salt Lake City , UT , USA; (Journal of clinical and translational science, v.5, 2021, pp.e42)
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957.
- 원격 탐사에서 통합 다중 스케일과 반지도 학습을 이용한 목표 탐지 연구
- 저우창만
- 경남대학교 대학원, 국내박사, 141, 2025
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958
- Big data from smart grids
- Bagheri, Azam; Bollen, Math H.J.; Gu, Irene Y.H.; ; (Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2017 IEEE PES, v.2017, 2017, pp.1-5)
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959
- Direct shape optimization through deep reinforcement learning
- Viquerat, Jonathan; Rabault, Jean; Kuhnle, Alexander; Ghraieb, Hassan; Larcher, Auré lien; Hachem, Elie; MINES Paristech, CEMEF, PSL - Research University; Department of Mathematics, University of Oslo; University of Cambridge; MINES Paristech, CEMEF, PSL - Research University; MINES Paristech, CEMEF, PSL - Research University; MINES Paristech, CEMEF, PSL - Research University; (Journal of computational physics, v.428, 2021, pp.110080)
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960
- Human Behavior Recognition Based on Deep Learning
- Chen, Yin; Tiangong University, School of Physical Science and Technology, Tianjin, China; (Artificial Intelligence, Networking and Information Technology (AINIT), 2021 2nd International Seminar on, v.2021, 2021, pp.88-91)
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