Results 81 to 90 of about 21,954 (219)

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

Wildlife Biology, EarlyView.
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew, Jason Hanlon, Ilya Buzytsky   +2 more
wiley   +1 more source

Abundance and occupancy trends of sooty grouse in western Oregon: determining best modeling practices by comparing observed and simulated data

Wildlife Biology, EarlyView.
Sooty grouse Dendragapus fuliginosus are large game birds that occupy montane forests in the Pacific Northwest, USA. These forests have been altered by human activities, which have been shown to have both positive and negative impacts on local populations.
Sarah J. K. Frey, Kelly M. Walton, Mikal L. Cline, Lindsey E. Sanders, Jonathan B. Dinkins   +4 more
wiley   +1 more source

Ecology of reintroduced Rocky Mountain bighorn sheep in Dinosaur National Monument La Ecología de Borrego Cimarron de las Montañas Rocosas Reintroducido en el Monumento Nacional de Dinosaurio

Wildlife Monographs, EarlyView.
We synthesized GPS telemetry, genetic, and pathogen data to evaluate metapopulation processes in a reintroduced Rocky Mountain bighorn sheep (Ovis canadensis canadensis) population in Dinosaur National Monument. We estimated subpopulation‐specific abundances and found 4 small subpopulations with high genetic diversity, partial connectivity, and ...
Sarah L. Carroll, Elizabeth P. Flesch, Salix R. Scoresby, Emily Spencer, Rachel S. Crowhurst, Clinton W. Epps, Nathan L. Galloway, William M. Janousek, Tabitha A. Graves   +8 more
wiley   +1 more source

Asymptotics of Symmetric Polynomials: A Dynamical Point of View. [PDF]

Commun Math Phys
Guionnet A, Huang J.
europepmc   +1 more source

From Expected Goals to Scoring at Least Once: An Event-Specific Summary of Aggregated Bernoulli Risk. [PDF]

Entropy (Basel)
Górecki T.
europepmc   +1 more source

Nesting ecology of an ice‐associated seabird, Kittlitz's murrelet, at the northern edge of its range

Wildlife Society Bulletin, EarlyView.
We studied the Kittlitz's murrelet, an ice‐associated seabird of conservation concern, at the northern edge of its range. Over a 2‐year period, we estimated nest density and success at 2 sites, captured and telemetered nesting murrelets, and tested the use of a thermal camera to improve nest detection.
Michelle L. Kissling, Molly C. McDevitt, Jonathan J. Felis, William Crisci, Zachary Pohlen, Ryan Ongtowasruk, Daniel L. Perret, Paul M. Lukacs, James A. Johnson, Metrona Mazonna   +9 more
wiley   +1 more source

Novel Multi-Target Tracking Method: PMBM Filter Combined SVD-SCKF with GP-Driven Measurements. [PDF]

Sensors (Basel)
Jia W, Li B, Zhang J, Zhou Y.
europepmc   +1 more source

Drone‐based radiotelemetry and imagery systems provide an advantage over traditional techniques for estimating survival of dependent juveniles

Wildlife Society Bulletin, EarlyView.
We used drone‐based radiotelemetry and multispectral imagery to estimate detection and survival probabilities of blue‐winged teal broods in Saskatchewan, Canada. Weekly brood survival probabilities, estimated via Cormack‐Jolly‐Seber models, increased with age and were comparable between drone methods.
Grant A. Rhodes, Dylan L. Bakner, Hannah C. Sabatier, Benjamin S. Sedinger, Christopher A. Nicolai, Kevin M. Ringelman   +5 more
wiley   +1 more source

Generalizing Matrix Representations to Fully Heterochronous Ranked Tree Shapes. [PDF]

Bull Math Biol
Jennings-Shaffer C, Chen ZC, Palacios JA, Matsen FA.   +3 more
europepmc   +1 more source

FL‐Offshore: A Federated Learning Framework for Predictive Maintenance in Brazilian Offshore Production Scenario

Artificial Intelligence for Engineering, EarlyView.
ABSTRACT Offshore oil production in Brazil relies on Floating Production Storage and Offloading (FPSO) units, where failures in rotating machinery motivate machine learning–based predictive maintenance. Centralised training is impractical due to privacy constraints, heterogeneous and highly imbalanced local datasets and unreliable satellite ...
Lucas M. Almeida, Allan S. Borges, Gustavo B. B. Figueiredo, Edson M. Cruz, Eric B. C. Barros, Maycon L. M. Peixoto   +5 more
wiley   +1 more source