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검색어 : 통합검색[Introduction to deep learning :]

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, 91/100 페이지

  • 901
    DRREP: deep ridge regressed epitope predictor
    Sher, Gene; Zhi, Degui; Zhang, Shaojie; Department of Computer Science, University of Central Florida, Orlando, FL USA; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX USA; Department of Computer Science, University of Central Florida, Orlando, FL USA; (BMC genomics, v.18, 2017, pp.676)
  • 902
    Active Design Aided Deep Learning for Reliability of DC-Link Capacitor in Traction Drive System
    Yao, Bo; Ge, Xinglai; Shu, Lingzhou; Zhang, Yichi; Wang, Huiming; Gou, Bin; Southwest Jiaotong University,Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education,,Chengdu,,China; Southwest Jiaotong University,Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education,,Chengdu,,China; School of Information and Software Engineering, University of Electronic Science and Technology of China,,,Chengdu,,China; Southwest Jiaotong University,Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education,,Chengdu,,China; Southwest Jiaotong University,Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education,,Chengdu,,China; Nanyang Technological University,the Rolls-Royce @ NTU Corporate Lab,,,,Singapore; (Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), 2019 IEEE, v.2019, 2019, pp.1-6)
  • 903
    Empirical comparison of deep learning models for fNIRS pain decoding
    Fernandez Rojas, Raul; Joseph, Calvin; Bargshady, Ghazal; Ou, Keng-Liang; ; (Frontiers in neuroinformatics, v.18, 2024, pp.1320189)
  • 904
    An innovative training model for developing talents in French language education based on the deep learning model
    Tang, Yafen; ; (Applied mathematics and nonlinear sciences, v.9, 2024, pp.20230467)
  • 905
    Selection of an algorithm for classifying data quoted on the Day Ahead Market of TGE S.A. in MATLAB and Simulink using Deep Learning Toolbox
    Tchórzewski Jerzy; Mielcarz Tomasz; ; (Studia Informatica. System and information technology, v.28, 2023, pp.83-108)
  • 906
    Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification
    Chelloug, Samia Allaoua; Ba Mahel, Abduljabbar S.; Alnashwan, Rana; Rafiq, Ahsan; Ali Muthanna, Mohammed Saleh; Aziz, Ahmed; ; (Frontiers in physiology, v.16, 2025, pp.1558001)
  • 907
    Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging
    Wouters, Anke; Robben, David; Christensen, Soren; Marquering, Henk A.; Roos, Yvo B.W.E.M.; van Oostenbrugge, Robert J.; van Zwam, Wim H.; Dippel, Diederik W.J.; Majoie, Charles B.L.M.; Schonewille, Wouter J.; van der Lugt, Aad; Lansberg, Maarten; Albers, Gregory W.; Suetens, Paul; Lemmens, Robin; Department of Neurology, University Hospitals Leuven, Belgium (A.W., R.L.).; Medical Imaging Research Center (MIRC), KU Leuven, Belgium (D.R., P.S.).; GrayNumber Analytics, Lomma, Sweden (S.C.).; Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, the Netherlands (H.A.M., C.B.L.M.M.).; Department of Neurology, Academic Medical Center, the Netherlands (A.W., Y.B.W.E.M.R.).; Department of Neurology, Maastricht University Medical Center and Cardiovascular Research Institute (CARIM), the Netherlands (R.J.v.O.).; Department of Radiology, Maastricht University Medical Center and Cardiovascular Research Institute (CARIM), the Netherlands (W.H.v.Z.).; Department of Neurology, Erasmus MC University Medical Center, Rotterdam, Netherlands (D.W.J.D.).; Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, the Netherlands (H.A.M., C.B.L.M.M.).; Department of Neurology, St. Antonius Hospital, Nieuwegein, and University Medical Center; (Stroke, v.53, 2022, pp.569-577)
  • 908
    Abstract P333: Prediction of Stroke Lesion Growth Rates by Baseline Perfusion Imaging
    Wouters, Anke; Robben, David; Christensen, Soren; Marquering, Henk; Roos, Yvo; Oostenbrugge, Robert Van V; van Zwam, Wim; DIPPEL, Diederik W; Majoie, Charles B; van der Lugt, Aad; Lansberg, Maarten G; Albers, Gregory W; Suetens, Paul; Lemmens, Robin; UZ LEUVEN NEUROLOGY, Leuven, Belgium; KU Leuven, Leuven, Belgium; Stanford Stroke center, Stanford, CA; Amsterdam; Amsterdam UMC, Amsterdam; UNIV HOSPITAL MAASTRICHT, Maastricht; MUMC, Maastricht; ERASMUS MC, Rotterdam; AMC, Amsterdam; Erasmus Univ; STANFORD UNIVERSITY, Palo Alto, CA; Stanford Univ Med Cntr, Stanford, CA; KU Leuven, Leuven, Belgium; UNIVERSITY HOSPITALS LEUVEN, Leuven, Belgium; (Stroke, v.52, 2021, )
  • 909
    A review and experimental evaluation of deep learning methods for MRI reconstruction
    Pal, Arghya; Rathi, Yogesh; Harvard Medical School; Harvard Medical School; (The journal of machine learning for biomedical imaging, v.1, 2022, pp.1-50)
  • 910
    Mouse brain MR super-resolution using a deep learning network trained with optical imaging data
    Liang, Zifei; Zhang, Jiangyang; ; (Frontiers in radiology, v.3, 2023, pp.1155866)

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