Results 321 to 330 of about 617,338 (368)

Aircraft range fuel prediction study based on WPD with IAPO optimized BiLSTM-KAN model. [PDF]

Sci Rep
Tang W, Dai J, Li Y.
europepmc   +1 more source

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert‐Like Systems Engineering Artifacts and a Characterization of Failure Modes

Systems Engineering, EarlyView.
ABSTRACT Multi‐purpose large language models (LLMs), a subset of generative artificial intelligence (AI), have recently made significant progress. While expectations for LLMs to assist systems engineering (SE) tasks are paramount; the interdisciplinary and complex nature of systems, along with the need to synthesize deep‐domain knowledge and ...
Taylan G. Topcu, Mohammed Husain, Max Ofsa, Paul Wach   +3 more
wiley   +1 more source

Monitoring pilots' mental workload in real flight conditions using multinomial logistic regression with a ridge estimator. [PDF]

Front Robot AI
Haseeb M, Nadeem R, Sultana N, Naseer N, Nazeer H, Dehais F.   +5 more
europepmc   +1 more source

A study of the 23 October 2022 southern England damaging MCS

Weather, EarlyView.
During the afternoon of 23 October 2022, a mesoscale convective system (MCS) developed and intensified over the English Channel and tracked north‐northeastward into southern England, producing widespread damaging winds and at least three moderate to strong tornadoes in Hampshire.
Kenneth Pryor, David L. A. Flack, David Smart, Sarah Horton   +3 more
wiley   +1 more source

The role of direct air capture in achieving climate-neutral aviation. [PDF]

Nat Commun
Brazzola N, Meskaldji A, Patt A, Tröndle T, Moretti C.   +4 more
europepmc   +1 more source

Spraying drones: efficacy of integrating an avian repellent with drone hazing to elicit blackbird flock dispersal and abandonment of sunflower fields

Wildlife Biology, EarlyView.
Multiple management strategies exist to combat bird damage to agriculture. We explored combining two tools, drones as frightening devices and an avian repellent, to assess effectiveness of an integrated method to deter large flocks on complex landscapes. We evaluated the ability of a spraying drone (DJI Agras MG‐1P) deploying Avian Control (i.e. active
Jessica L. Duttenhefner, Timothy J. Greives, Page E. Klug   +2 more
wiley   +1 more source

A Quantitative Analysis of Internal and External Loads in Aviation Firefighting Using a Simulated Scenario. [PDF]

Healthcare (Basel)
Glen B, Wills J, Campbell R, Cormack S, Tofari P, Parsey B, Edmonds R, Doyle T.   +7 more
europepmc   +1 more source

Monitoring active osprey nests with drones is more time efficient and less disturbing than conventional methods

Wildlife Biology, EarlyView.
Drones are used to monitor bird nesting sites at less accessible locations, such as on cliffs, human infrastructure, or within the tree canopy. While there are a growing number of studies documenting avian behavioral responses to various drones, there is a continued need to monitor taxa‐specific responses to different drone models. We explored both the
Natasha K. Murphy, Jared A. Elmore, Melanie R. Boudreau, Brian S. Dorr, Scott A. Rush   +4 more
wiley   +1 more source

Greener skies? The quest for sustainable flying. [PDF]

Proc Natl Acad Sci U S A
Battersby S.
europepmc   +1 more source

A comparison of thermal drones and camera trap population estimates for Sitka black‐tailed deer in Alaska

Wildlife Biology, EarlyView.
One of the most difficult challenges for wildlife managers is reliably estimating wildlife populations. Camera traps combined with spatial capture–recapture (SCR) models are a popular tool for population estimation. They have limitations, however, including long data processing times.
Shannon P. Finnegan, Amael Hinojo, Sarah Monod, William A. Wall, Peter Olsen, Maximilian L. Allen   +5 more
wiley   +1 more source