Results 141 to 150 of about 4,896 (264)
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann +2 more
wiley +1 more source
Prediction of the short-term prognosis of acute ischaemic stroke in patients with high treatment platelet reactivity using explainable machine learning. [PDF]
Liu J, Gu Y, Wang D, Xia X, Li X.
europepmc +1 more source
Hybrid GNN and temporal encoder models for flood forecasting in the Vu Gia–Thu Bon River Basin
Abstract Flood forecasting in river networks requires models that can capture both spatial dependencies across river basins and the temporal dynamics of hydrological processes. This study proposes a hybrid approach combining Graph Neural Networks (GNNs) with temporal sequence models, such as Long Short‐Term Memory (LSTM) networks and Transformer ...
Dinh Huy Nguyen +4 more
wiley +1 more source
A new method of off-site inverse carbon accounting and its application in agriculture carbon measurement. [PDF]
Shen H, Liu Y, Zou B, Li K.
europepmc +1 more source
ABSTRACT Transdisciplinary research (TD) is widely invoked to tackle complex sustainable‐development challenges by integrating scientific and societal knowledge and fostering collaboration among researchers, decision‐makers, practitioners and affected publics.
Carles Vañó‐Agulló +3 more
wiley +1 more source
Unpacking Ross River virus trends in Queensland: Regional insights and predictive modeling. [PDF]
Qian W +4 more
europepmc +1 more source
ABSTRACT The dynamic nature of small islands being geographically isolated and their perceived connectedness with global networks complicates research attempts to draw general conclusions on whether insularity leads to marginalization or strengthens their resilience for sustainable development.
Toheeb Lekan Jolaosho +2 more
wiley +1 more source
Dual-graph knowledge distillation for few-shot class-incremental microorganism recognition. [PDF]
Xu S, Hu Y, Zhang Y, Chen L, Yin Y.
europepmc +1 more source
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella +4 more
wiley +1 more source
Recognition of Loss & Damage from wildfires is key for climate justice. [PDF]
M da Veiga R +16 more
europepmc +1 more source

