Modelling complex biologging data with hidden Markov models
Hidden Markov models (HMMs) are commonly used to identify latent processes from observed time series, but it is challenging to fit them to large and complex time series collected by modern sensors.
Sidrow, Evan
core
Prominent fin-contributed swimming in squid (<i>Loligo forbesii</i>) supports efficient movement in seamount habitats. [PDF]
Cones S +8 more
europepmc +1 more source
Leveraging Pangeo to Geolocate Fish Using Biologging Data: The Pangeo-Fish Initiative
Fish geolocation models estimate the probabilities of fish positions by comparing tag records from data storage tags (DST) with high-resolution reference fields of the same variables.
Gonse, Marine +3 more
core
Experience-based optimal foraging on planktonic prey in Baikal seals. [PDF]
Watanabe YY, Baranov EA, Miyazaki N.
europepmc +1 more source
Capturing vocal communication in a free-living corvid: high-resolution data from low-impact miniaturized tags. [PDF]
Baglione V +5 more
europepmc +1 more source
Estimating Total Body Lipid Store of Free-Ranging Whales In Vivo Using Drone Photogrammetry and Biologging Tags. [PDF]
Burslem A +4 more
europepmc +1 more source
Refining Electronic Tagging of Marine Animals: Computational Fluid Dynamics and Pelagic Sharks. [PDF]
Maillard TC +4 more
europepmc +1 more source
Spatiotemporal Variation in Marine Mammal Antipredator Behaviors Resulting From a Predation Pinch Point. [PDF]
Hale CM +6 more
europepmc +1 more source
The study of social animal migrations: a synthesis of the past and guidelines for future research. [PDF]
Bontekoe ID +6 more
europepmc +1 more source
Assessment of goose-beaked whale responses to mid-frequency active sonar using a hierarchical hidden Markov model. [PDF]
DeRuiter SL +9 more
europepmc +1 more source

