Results 71 to 80 of about 206,442 (285)
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
This study examines unsaturated, fine-grained moraine soil from a high-plateau airport in the Tibetan region. Laboratory tests were conducted to determine key physical characteristics, including particle size distribution, optimal moisture content ...
Meng Li +5 more
doaj +1 more source
Against the dual-carbon background, civil aviation is in urgent need of low-carbon and green transformation. Carbon emissions from airports are one of the main environmental concerns in civil aviation, so the early realization of airport carbon peak and ...
Haitao Yu +4 more
doaj +1 more source
A Hierarchical Airport Detection Method Using Spatial Analysis and Deep Learning
Airports have a profound impact on our lives, and uncovering their distribution around the world has great significance for research and development. However, existing airport databases are incomplete and have a high cost of updating.
Fanxuan Zeng +6 more
doaj +1 more source
The Impacts of Airport Centrality in the EU Network and Inter- Airport Competition on Airport Efficiency [PDF]
In this paper we study the relationship between airport efficiency and two factors: an airport’s centrality in the EU network, and the intensity of competition from alternative airports in the same catchment area.
Malighetti, G +3 more
core +1 more source
Abstract This article examines how mobility restrictions imposed by governments during the COVID‐19 pandemic intensified reproductive and mobility injustices. It traces shifting configurations of privilege and inequality within marginalized groups whose reproductive desires remain legally and socially unrecognized.
Sara L. Friedman
wiley +1 more source
Abstract When deploying mobile robots in real‐world scenarios, such as airports, train stations, hospitals, and schools, collisions with pedestrians are intolerable and catastrophic. Motion safety becomes one of the most fundamental requirements for mobile robots.
Zhiqian Zhou +7 more
wiley +1 more source
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, continues to impact the world even three years after its outbreak. International border closures and health alerts severely affected the air transport industry, resulting in substantial financial ...
Pablo Quirós Corte +4 more
doaj +1 more source
Applicable STAP for moving FOD detection
Serious security risks and economic losses have increased rapidly under the threat of foreign object debris. Most detection methods employing optical devices are limited in severe weather for low visibility. This study proposes an applicable approach for
Xiaoqi Yang +3 more
doaj +1 more source
Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira +5 more
wiley +1 more source

