Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Brian R, Lubinski"'
Autor:
Tsung-Wei Ke, Stella X Yu, Mark D Koneff, David L Fronczak, Luke J Fara, Travis J Harrison, Kyle L Landolt, Enrika J Hlavacek, Brian R Lubinski, Timothy P White
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0288121 (2024)
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine
Externí odkaz:
https://doaj.org/article/0181adc128ce4f79afbf043335243e5c
Autor:
Michael W. Meyer, Steven C. Houdek, Luke J. Fara, Brian R. Gray, Robert J. Kratt, Timothy J. Fox, Brian R. Lubinski, Darryl J. Heard, Kevin P. Kenow
Publikováno v:
Journal of Great Lakes Research. 44:497-513
Common loons (Gavia immer) staging on the Great Lakes during fall migration are at risk to episodic outbreaks of type E botulism. Information on distribution, foraging patterns, and exposure routes of loons are needed for understanding the physical a
Publikováno v:
Journal of avian medicine and surgery. 33(1)
Evidence suggests that wintering populations of long-tailed ducks along the Atlantic and Pacific coasts are in decline, but little is known about wintering populations on Lake Michigan. Researchers seek answers to basic questions regarding habitat us
Publikováno v:
Journal of Great Lakes Research. 42:637-648
Avian botulism type E is responsible for extensive waterbird mortality on the Great Lakes, yet the actual site of toxin exposure remains unclear. Beached carcasses are often used to describe the spatial aspects of botulism mortality outbreaks, but la
Autor:
Andrew D. Gilbert, Peng Sun, Max R. Highsmith, Heath M. Hagy, Nickolas M. Wergeles, Yi Shang, Brian R. Lubinski, Mary Mitchell, Andy Raedeke, Yang Liu, Joel Sartwell
Publikováno v:
DSC
In computer vision, significant advances have been made in recent years on object recognition and detection with the rapid development of deep learning, especially deep convolutional neural networks (CNN). The majority of deep learning methods for ob
Autor:
Steve P. Klosiewski, Michael J. Millard, Judith A. Gordon, Tevis J. Underwood, Brian R. Lubinski
Publikováno v:
North American Journal of Fisheries Management. 27:303-314
From 1996 to 1999, a Darroch two-sample stratified capture–recapture experiment was conducted on adult chum salmon Oncorhynchus keta in the Yukon River, Alaska. Annual release of marked chum salmon ranged from 8,527 to 18,631 fish. At the recovery