What can occupancy models gain from time-to-detection data?
Sign Up to like & getrecommendations! Published in 2022 at "Ecology"
DOI: 10.1002/ecy.3832
Abstract: The time taken to detect a species during site occupancy surveys contains information about the observation process. Accounting for the observation process leads to better inference about site occupancy. We explore the gain in efficiency… read more here.
Keywords: occupancy; detection intensity; detection data; detection ... See more keywords
Set-theoretic detection of data corruption attacks on cyber physical power systems
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Modern Power Systems and Clean Energy"
DOI: 10.1007/s40565-018-0452-y
Abstract: This paper addresses a set-theoretic method for the detection of data corruption cyber-attacks on the load frequency control loop of a networked power system. The system consists of several interconnected control areas forming a power… read more here.
Keywords: power systems; detection data; power; set theoretic ... See more keywords
Earthquakes: From Twitter Detection to EO Data Processing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3149541
Abstract: The increase of social media use in recent years has shown potential also for the identification of specific trends in the data that could be used to locate earthquakes. In this work, we implemented a… read more here.
Keywords: data processing; earthquakes twitter; detection data; detection ... See more keywords
A new framework for analysing automated acoustic species-detection data: occupancy estimation and optimization of recordings post-processing
Sign Up to like & getrecommendations! Published in 2017 at "Methods in Ecology and Evolution"
DOI: 10.1111/2041-210x.12910
Abstract: The development and use of automated species detection technologies, such as acoustic recorders, for monitoring wildlife are rapidly expanding. Automated classification algorithms provide cost- and time-effective means to process information-rich data, but often at the… read more here.
Keywords: detection; post processing; analysing automated; detection data ... See more keywords
Time series sightability modeling of animal populations
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0190706
Abstract: Logistic regression models—or “sightability models”—fit to detection/non-detection data from marked individuals are often used to adjust for visibility bias in later detection-only surveys, with population abundance estimated using a modified Horvitz-Thompson (mHT) estimator. More recently,… read more here.
Keywords: detection non; detection; detection data; model ... See more keywords