Results 81 to 90 of about 6,165 (216)

Investigating SME‐Inclusive Public‐Private AI Innovation Network: Evidence From U.S. Small Business Administration (1991–2023)

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley   +1 more source

Design of in-vehicle networked control system architectures through the use of new design to cost and weight processes : innovation report [PDF]

open access: yes
Over the last forty years, the use of electronic controls within the automotive industry has grown considerably. In-vehicle network technologies such as the Controller Area Network (CAN) and Local Interconnect Network (LIN) are used to connect ...
Quigley, Christopher Patrick
core  

EEG-Based Fatigue Detection for Remote Tower Air Traffic Controllers Using a Spatio-Temporal Graph with Center Loss Network

open access: yes
Fatigue in air traffic controllers (ATCOs), particularly within remote tower operations, poses a substantial risk to aviation safety due to its detrimental effects on vigilance, decision-making, and situational awareness.
Qinghai Zuo   +7 more
core   +1 more source

Inflammatory Shift in Chronic Rhinosinusitis Amidst Guangzhou's Urbanization (2000–2018)

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Background Chronic rhinosinusitis (CRS) exhibits temporal and geographic diversity in pathological endotypes with progressive eosinophilic infiltration, while the underlying causes remain unclear. Current pathological endotypes determination relies on mean cell count per high‐power field, requiring accuracy optimization.
Ning Kang   +16 more
wiley   +1 more source

Monitoring wildlife using long‐endurance solar‐electric UAVs

open access: yesWildlife Biology, EarlyView.
This report discusses the effectiveness of using small solar‐electric UAV (uncrewed aerial vehicles) for aerial wildlife monitoring. We review four years of aerial wildlife monitoring missions using a 5.5‐m wingspan, solar‐electric UAV that was equipped with a gimballed IR/RGB camera.
Götz Bramesfeld   +3 more
wiley   +1 more source

Self-Prioritizing Multi-Agent Reinforcement Learning for Conflict Resolution in Air Traffic Control with Limited Instructions [Elektronisk resurs]

open access: yes
Air traffic control (ATC) relies on a series of complex tasks, the most crucial aspect of which is to assure safe separation between aircraft. Due to the increase in air traffic, decision support systems and safe and robust automation of ATC tasks are of
Eilertsen, Gabriel   +8 more
core   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

open access: yesWildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge   +4 more
wiley   +1 more source

On the derivation and analysis of decision architectures for unmanned aircraft systems

open access: yes, 2013
©Cranfield University © BAE SystemsOperation of Unmanned Air Vehicles (UAVs) has increased significantly over the past few years. However, routine operation in non-segregated airspace remains a challenge, primarily due to nature of the environment and ...
Patchett, C H
core  

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

open access: yesComputer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo   +5 more
wiley   +1 more source

Aplicação da geoestatística usando a predição espacial de monóxido de carbono pelo tráfego veicular urbano [PDF]

open access: yes, 2006
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico.
Silva, Geralcy Carneiro da
core  

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