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ETHNOS_APP

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Pin Nie

Dados Biográficos

ID9809960
NOMEPin Nie
PRENOMESPin
SOBRENOMENie
ASSINATURANIE P
AFILIAÇÕESNanjing University
ORCID0000-0002-9492-2940
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2021
ÍNDICE H0
  • Trajectory Similarity Analysis with the Weight of Direction and k-Neighborhood for AIS Data

    Open Access•Pin Nie, Zhenjie Chen et al.•ARTICLE•ISPRS International Journal of…•2021

    Automatic Identification System (AIS) data have been widely used in many fields, such as collision detection, navigation, and maritime traffic management. Similarity analysis is an important process for most AIS trajectory analysis topics. However, most traditional AIS trajectory similarity analysis methods calculate the distance between trajectory points, which requires complex and time-consuming calculations, often leading to substantial errors…

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  • Trajectory Similarity Analysis with the Weight of Direction and k-Neighborhood for AIS Data

    Open Access•Pin Nie, Zhenjie Chen et al.•ARTICLE•ISPRS International Journal of…•2021

    Automatic Identification System (AIS) data have been widely used in many fields, such as collision detection, navigation, and maritime traffic management. Similarity analysis is an important process for most AIS trajectory analysis topics. However, most traditional AIS trajectory similarity analysis methods calculate the distance between trajectory points, which requires complex and time-consuming calculations, often leading to substantial errors…

Algorithm (1 obra) · Artificial Intelligence (1 obra) · Computer Science (1 obra) · Data Management and Algorithms (1 obra) · Data mining (1 obra) · Human Mobility and Location-Based Analysis (1 obra) · Maritime Navigation and Safety (1 obra) · Mathematics (1 obra) · Trajectory (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae