A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels

Martha Dais Ferreira; Gabriel Spadon; Amilcar Soares; Stan Matwin

doi:10.3390/s22166063

A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels

Martha Dais Ferreira, Gabriel Spadon, Amilcar Soares, Stan Matwin

Engineering

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Original language	English
Article number	6063
Journal	Sensors
Volume	22
Issue number	16
DOIs	https://doi.org/10.3390/s22166063
Publication status	Published - Aug 2022

ASJC Scopus Subject Areas

Analytical Chemistry
Information Systems
Instrumentation
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
Biochemistry

Keywords

clustering analysis
feature-augmented clustering
mobility-behavior detection
time-series classification

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10.3390/s22166063

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keywords = "clustering analysis, feature-augmented clustering, mobility-behavior detection, time-series classification",

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language = "English",

volume = "22",

journal = "Sensors",

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T1 - A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels

AU - Ferreira, Martha Dais

AU - Spadon, Gabriel

AU - Soares, Amilcar

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PY - 2022/8

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KW - feature-augmented clustering

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KW - time-series classification

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JF - Sensors

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A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels

ASJC Scopus Subject Areas

Keywords

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