검색어 : 통합검색[Introduction to deep learning :]
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931
- An introduction to reinforcement learning for neuroscience
- Kristopher T. Jensen; University College London; (Neurons, Behavior, Data analysis, and Theory, v., 2024, )
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932
- Past, present and future approaches using computer vision for animal re‐identification from camera trap data
- Schneider, Stefan; Taylor, Graham W.; Linquist, Stefan; Kremer, Stefan C.; Department of Computer Science University of Guelph Guelph ON Canada; Department of Engineering University of Guelph Guelph ON Canada; Department of Philosophy University of Guelph Guelph ON Canada; Department of Computer Science University of Guelph Guelph ON Canada; (Methods in ecology and evolution, v.10, 2019, pp.461-470)
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933.
- Is VLM for E2E Autonomous Driving Reliable? : Post-analysis on VLM with Uncertainty-Aware
- 오하연
- 한양대학교 대학원, 국내석사, , 2025
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934.
- 문서 이미지 분석을위한 다층 딥 감독 네트워크 접근법
- 보광낫
- 전남대학교, 국내박사, 134, 2017
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935.
- Kinematics-Dependent Neural Representations from Primary Motor Cortical Neural Population Activity for Motor Decoding
- Min-Ki Kim
- Ulsan National Institute of Science and Technology, 국내박사, 91, 2021
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936
- Crowdtraining: Architecture and Incentive Mechanism for Deep Learning Training in the Internet of Things
- Zhan, Yufeng; Zhang, Jiang; Li, Peng; Xia, Yuanqing; ; (IEEE network, v.33, 2019, pp.89-95)
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937
- 딥러닝 기반 OCR 인식 엔진의 정확도 향상을 위한 전/후처리기 기술 구현
- 장창복; 김기봉; (주)알투소프트; 대전보건대학교 컴퓨터정보과; (융합정보논문지 = Journal of Convergence for Information Technology, v.12, 2022, pp.163-170)
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938
- Privacy Preserving Federated Deep Learning Infrastructure for ARGOS: ARtificial intelligence for Gross tumor vOlume Segmentation. (Preprint)
- Choudhury Ananya; Volmer Leory; Martin Frank; Fijten RRR; Wee Leonard; Dekker Andre; Soest Johan van; ; (, v., 2024, )
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939
- The use of deep learning towards dose optimization in low-dose computed tomography: A scoping review
- Immonen, E.; Wong, J.; Nieminen, M.; Kekkonen, L.; Roine, S.; Tö rnroos, S.; Lanca, L.; Guan, F.; Metsä lä , E.; Metropolia University of Applied Sciences; Singapore Institute of Technology (SIT); Metropolia University of Applied Sciences; Metropolia University of Applied Sciences; Metropolia University of Applied Sciences; Metropolia University of Applied Sciences; Singapore Institute of Technology (SIT); Singapore Institute of Technology (SIT); Metropolia University of Applied Sciences; (Radiography, v.28, 2022, pp.208-214)
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940.
- 컨볼루션 신경망과 웨이블릿 변환을 사용한 잡음 환경에서의 객체 분류 방법의 연구
- 진비
- 전북대학교 일반대학원, 국내석사, vii, 53 p., 2021
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