Results 231 to 240 of about 151,224 (313)

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

Gut infection and dysbiosis are hallmarks of severe SARS-CoV-2 variants. [PDF]

Npj Viruses
Nagaraj SK, Joy CM, Shiraz R, Narayan R, Kaur S, Khatun O, Dubey S, Ng J, Mishra N, Tripathi S.   +9 more
europepmc   +1 more source

Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR

Wildlife Biology, EarlyView.
Identifying the spatial and temporal scale at which animals select resources is critical for predicting how populations respond to changes in the environment. The spatial distribution of fine‐scale resources (e.g. patches of dense vegetation) are often linked with critical life‐history requirements such as denning and feeding sites.
Alexej P. K. Sirén, Franklin Sullivan, Rachel Cliché, Jeremy Goetz, Leighlan S. Prout, Jillian Kilborn, Katelyn Courtot, Michael Palace   +7 more
wiley   +1 more source

The Genetic and Morphological Basis of Local Adaptation to Elevational Extremes in an Alpine Finch. [PDF]

Ecol Evol
Robertson ECN, Brown TM, Deitch S, Bossu CM, Zavaleta ES, Hooten MB, Ruegg KC.   +6 more
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

Parametric Optimization of VLM Panel Discretization Using Bio-Inspired Crayfish and Aquila Algorithms Coupled with Hybrid RSM-Based Ensemble Machine Learning Surrogate Models: A Case Study. [PDF]

Biomimetics (Basel)
Eraslan Y, Şengün E.
europepmc   +1 more source

Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT A central challenge in deep learning lies in achieving strong model generalisation, an area in which conventional optimisers such as stochastic gradient descent (SGD) often exhibit limitations, even though they ensure convergence. This paper introduces cascaded inertia SGD (CISGD), a novel optimisation algorithm specifically designed to ...
Yongji Guan, Shunbao Zhang, Longbang Wang, Erchao Li   +3 more
wiley   +1 more source

Electrostatic adhesion mitigates aerodynamic losses from gap formations in feathered wings. [PDF]

Commun Eng
Haughn KPT, Auletta JT, Hrynuk JT, Henry TC.   +3 more
europepmc   +1 more source

Nucleophilic substitution of a phthalimidyl group with morpholine in an N1‐methyl‐1,2,3‐triazole: crystallographic evidence for migration of the methylene bridge

Acta Crystallographica Section C, EarlyView.
X‐ray crystallography revealed that the reaction of 2‐{[4‐(4‐bromophenyl)‐1H‐1,2,3‐triazol‐1‐yl]methyl}phthalimide with morpholine led to substitution of the phthalimide group, including migration of the substituent from N1 to N2 on the 1,2,3‐triazole ring.2‐{[4‐(4‐Bromophenyl)‐1H‐1,2,3‐triazol‐1‐yl]methyl}phthalimide, C17H11BrN4O, was synthesized by ...
Paul R. Palme, Richard Goddard, Markus Leutzsch, Adrian Richter, Peter Imming, Rüdiger W. Seidel   +5 more
wiley   +1 more source

Surveillance of Viral Respiratory Infections within Maximum-Security Prison, Australia. [PDF]

Emerg Infect Dis
Legrand NM, Bull RA, Hajarizadeh B, Lloyd AR, Johnston K, Issa K, Harvey C, Arnott A, Dwyer DE, Sintchenko V, Grant L, Dore GJ, Kaldor J, Martinello M.   +13 more
europepmc   +1 more source