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검색어 : 통합검색[Introduction to deep learning :]

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  • 991
    Deep Learning-Based Natural Language Processing for Screening Psychiatric Patients
    Dai, Hong-Jie; Su, Chu-Hsien; Lee, You-Qian; Zhang, You-Chen; Wang, Chen-Kai; Kuo, Chian-Jue; Wu, Chi-Shin; Intelligent System Laboratory, Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National Kaohsiung University of Science and Technology , Kaohsiung , Taiwan; Department of Psychiatry, National Taiwan University Hospital , Taipei , Taiwan; Intelligent System Laboratory, Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National Kaohsiung University of Science and Technology , Kaohsiung , Taiwan; Intelligent System Laboratory, Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National Kaohsiung University of Science and Technology , Kaohsiung , Taiwan; Big Data Laboratory, Chunghwa Telecom Laboratories , Taoyuan , Taiwan; Taipei City Psychiatric Center, Taipei City Hospital , Taipei , Taiwan; (Frontiers in psychiatry, v.11, 2021, pp.533949)
  • 992
    Analysing the Deep Learning Strategies Questionnaire: a case study with higher education students in Catalonia
    Martins, Ludmila; Ruiz-Bueno, Antoni; ; (Revista d'innovacioacute; i recerca en educaci´ = Journal of Innovation and Research in Education, v.18, 2025, pp.1-19)
  • 993
    Multiple case studies to enhance project-based learning in a computer architecture course
    Martinez-Mones, A.; Gomez-Sanchez, E.; Dimitriadis, Y.A.; Jorrin-Abellan, I.M.; Rubia-Avi, B.; Vega-Gorgojo, G.; Univ. of Valladolid, Spain; (IEEE transactions on education, v.48, 2005, pp.482-489)
  • 994
    Digging for gold: evaluating the authenticity of saffron (Crocus sativus L.) via deep learning optimization
    Elaraby, Ahmed; Ali, Hussein; Zhou, Bin; Fonseca, Jorge M.; ; (Frontiers in horticulture, v.2, 2023, pp.1225683)
  • 995
    Reconstructing historical climate fields with deep learning
    Bochow, Nils; Poltronieri, Anna; Rypdal, Martin; Boers, Niklas; Department of Mathematics and Statistics, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway.; Department of Mathematics and Statistics, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway.; Department of Mathematics and Statistics, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway.; Potsdam Institute for Climate Impact Research, Potsdam, Germany.; (Science advances, v.11, 2025, pp.eadp0558)
  • 996
    An assessment of the value of deep neural networks in genetic risk prediction for surgically relevant outcomes
    Christensen Mathias A; Sigurdsson Arnór; Bonde Alexander; Rasmussen Simon; Ostrowski Sisse R; Nielsen Mads; Sillesen Martin; ; (, v., 2024, )
  • 997.
    A Multimodal Recommender System Considering Relevance between Review Contents and Item Information
    김지현
    경희대학교 대학원, 국내석사, vi, 64 p., 2024
  • 998
    Supervised Speech Separation Based on Deep Learning: An Overview
    Wang, DeLiang; Chen, Jitong; Department of Computer Science and Engineering and the Center for Cognitive and Brain Sciences, The Ohio State University, Columbus, OH, USA; Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA; (IEEE/ACM transactions on audio, speech, and language processing, v.26, 2018, pp.1702-1726)
  • 999
    Potato Blight Detection Using Fine-Tuned CNN Architecture
    Al-Adhaileh, Mosleh Hmoud; Verma, Amit; Aldhyani, Theyazn H. H.; Koundal, Deepika; Deanship of E-Learning and Distance Education, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia; School of Computer Science, University of Petroleum & Energy Studies, Dehradun 248007, India; Applied College in Abqaiq, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia; School of Computer Science, University of Petroleum & Energy Studies, Dehradun 248007, India; (Mathematics, v.11, 2023, pp.1516)
  • 1000
    Deep learning of early brain imaging to predict post-arrest electroencephalography
    Elmer, Jonathan; Liu, Chang; Pease, Matthew; Arefan, Dooman; Coppler, Patrick J.; Flickinger, Katharyn L.; Mettenburg, Joseph M.; Baldwin, Maria E.; Barot, Niravkumar; Wu, Shandong; Department of Emergency Medicine, University of Pittsburgh School of Medicine; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh; Department of Neurosurgery, University of Pittsburgh School of Medicine; Department of Radiology, University of Pittsburgh School of Medicine; Department of Emergency Medicine, University of Pittsburgh School of Medicine; Department of Emergency Medicine, University of Pittsburgh School of Medicine; Department of Radiology, University of Pittsburgh School of Medicine; Department of Neurology, Pittsburgh VA Medical Center; Neurology Division, University of Pittsburgh School of Medicine; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh; (Resuscitation, v.172, 2022, pp.17-23)

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