Labeled dataset of Sentinel-1 SAR imagery Despeckled with multitemporal fusions. [PDF]
Díaz-Paz JP +4 more
europepmc +1 more source
ABSTRACT Sulphur hexafluoride has become a priority substance for greenhouse gas mitigation in electric systems. An ideal substitute should simultaneously satisfy requirements for dielectric strength, boiling point, global warming potential and chemical stability; however, these metrics are deeply coupled and mutually constraining at the molecular ...
Rui Qiu +8 more
wiley +1 more source
Multi-sensor-based rock glacier detection over Sikkim Himalaya. [PDF]
Kumar A, Malviya A, Singh G.
europepmc +1 more source
Abstract Background and aims Cannabis use is highly prevalent among young adults with first‐episode psychosis (FEP) and is associated with poorer clinical and functional outcomes. Mobile health interventions may help address structural barriers to delivering cannabis‐focused psychosocial interventions within early intervention services (EIS), yet ...
Selim Abou‐Rahal +8 more
wiley +1 more source
MMDEC: Multimodal maritime dataset on the English channel. [PDF]
Averty T, Nasios I, Ray C, Piliouras N.
europepmc +1 more source
Leveraging AI and multi-source satellite imagery for multi-hazard monitoring and susceptibility mapping in urban areas. [PDF]
Lafortezza R +17 more
europepmc +1 more source
Macau as Method: Recombinant Urbanism in Post‐Socialist China
ABSTRACT In ‘Asia as Method’, Chen Kuan‐Hsing argues for the value of an indigenous inter‐Asian approach to analysing the effects of European imperialism on the countries and citizens of Asia. This article mobilises both Chen's inter‐Asian referencing strategy and the city‐state of Macau to explore Macau's role in China's engagements with global ...
Tim Simpson
wiley +1 more source
Impacts of land consolidation in a semi-arid agricultural region of Türkiye using remote sensing analysis. [PDF]
Yilgan F, Dogan S.
europepmc +1 more source
Emerging applications of large language models in ecology and conservation science
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
From innovation to implementation: a global scoping review of artificial intelligence applications, governance, and challenges in humanitarian contexts. [PDF]
Jose M +5 more
europepmc +1 more source

