Results 211 to 220 of about 3,223,623 (259)

Life‐history stages and behavior influence demographic classification of moose captured on remote cameras

open access: yesWildlife Biology, EarlyView.
Obtaining accurate information on demographic states, such as the age and sex classes of animals, is an important step for monitoring wildlife populations. Traditionally, demographic data are collected from harvest, aerial surveys and telemetry studies.
Alexej P. K. Sirén   +15 more
wiley   +1 more source

Assessing genetic diversity in a reintroduced Mediterranean griffon vulture Gyps fulvus population to inform long‐term conservation management

open access: yesWildlife Biology, EarlyView.
Reintroductions play a key role in conservation biology. Their long‐term success strongly depends on maximizing the genetic diversity of founders, as well as on ensuring ecological connectivity with adjacent populations. Accordingly, evaluating the conservation status of reintroduced populations to limit the loss of their genetic diversity requires ...
Nicolò Borgianni   +5 more
wiley   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam   +9 more
wiley   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li   +5 more
wiley   +1 more source

Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun   +4 more
wiley   +1 more source

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