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MACHINE LEARNING-BASED SYSTEM MODELING FOR SPECTRUM SENSING & SEMANTIC SEGMENTATION = 기계학습 알고리즘을 이용한 스펙트럼 검출 및 영항분할 시스템 설계

Jun Hee Kim 2020년

논문상세정보
인용/피인용
' MACHINE LEARNING-BASED SYSTEM MODELING FOR SPECTRUM SENSING & SEMANTIC SEGMENTATION = 기계학습 알고리즘을 이용한 스펙트럼 검출 및 영항분할 시스템 설계' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Deep learning
  • semantic segmentation
  • spectrum detection
  • wireless cognitive radio networks
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,297 0

0.0%

' MACHINE LEARNING-BASED SYSTEM MODELING FOR SPECTRUM SENSING & SEMANTIC SEGMENTATION = 기계학습 알고리즘을 이용한 스펙트럼 검출 및 영항분할 시스템 설계' 의 참고문헌

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