Results 151 to 160 of about 56,976 (256)

Anthropogenic Forcing Amplifies Concurrent Risk of Pluvial Pakistan–Hot Yangtze

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract During July–August 2022, Pakistan (PKT) experienced catastrophic flooding while the Yangtze River Basin (YRB) endured unprecedented heatwaves. While previous studies have examined the physical teleconnections, there remains a critical gap in quantifying the role of anthropogenic forcing in shaping such trans‐regional concurrent extremes. Here,
Xiao Li, Liping Zhang, Chen Hu, Gangsheng Wang, Lina Liu, Zhenyu Tang, Lixiang Zhao, Xiaodong Li, Jun Xia   +8 more
wiley   +1 more source

River extraction from high-resolution remote sensing images based on non-uniform sampling and semi-supervised learning. [PDF]

Sci Rep
Wang K, Han L, Li L.
europepmc   +1 more source

Interpolation in MPC for discrete time bilinear systems

, 2016
Feedback linearization suffers from a number of restrictions which have limited its use in Model-based Predictive Control. Some of these restrictions do not apply to the case of bilinear systems, but problems with input constraints and unstable zero dynamics persist.
Bloemen, H, Cannon, M, Kouvaritakis, B, AACC, AACC, AACC   +5 more
openaire   +1 more source

Regional Differences in the Direct and Indirect Impacts of China's Urbanization Process on Vegetation

Earth and Space Science, Volume 13, Issue 4, April 2026.
Abstract Urbanization profoundly influences urban vegetation dynamics. Variations in development stages lead to differing direct (vegetation loss) and indirect (vegetation growth) impacts across old urban areas, new urban areas, and suburban, with unclear spatiotemporal mechanisms.
Haoyun Shao, Mengxi Qu, Yining Zhang, Wenjie Zhang   +3 more
wiley   +1 more source

Hybrid CNN-transformer demosaicing for bioinspired single-chip color-near-infrared fluorescence imaging in oncologic surgery. [PDF]

J Biomed Opt
Jin Y, Yang J, Kondov B, Kondov G, Singhal S, Forsyth D, Cunningham BT, Nie S, Gruev V.   +8 more
europepmc   +1 more source

Should you use data integration for your distribution model?

Journal of Animal Ecology, Volume 95, Issue 4, Page 591-604, April 2026.
This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein, Jeffrey W. Doser, Brent S. Pease, Krishna Pacifici   +3 more
wiley   +1 more source

Benchmarking the geographic generalization of deep learning models for precipitation downscaling. [PDF]

Sci Rep
Harder P, Schmidt L, Pelletier F, Ludwig N, Chantry M, Lessig C, Hernandez-Garcia A, Rolnick D.   +7 more
europepmc   +1 more source

Passive Acoustic Monitoring of Tasmanian Masked Owls and Swift Parrots: An Effective Tool for Conservation Actions

Austral Ecology, Volume 51, Issue 4, April 2026.
ABSTRACT The Tasmanian masked owl (Tyto novaehollandiae subsp. castanops) and swift parrot (Lathamus discolor) rely on old forest features that are declining across their ranges in Tasmania, Australia. Under the Australian Environment Protection and Biodiversity Conservation Act 1999, the swift parrot is listed as Critically Endangered, and the ...
Charley Gros, Phil Bell, Matthew H. Webb
wiley   +1 more source

Predicting upwelling dynamics in the South Sea of Java, Indonesia: A deep learning approach with ConvLSTM and 3D-CNN. [PDF]

MethodsX
Rantini D, Kruba R, Haditiar Y, Ikhwan M, Jati Wijaya Y, Ismanto A, Yandra MM, Rahman H, Ramadan A, Othman F.   +9 more
europepmc   +1 more source

Global‐Scale Analysis of Biochar Cropland Application Strategies and Their Climate Change Mitigation Potential Using Machine Learning

GCB Bioenergy, Volume 18, Issue 4, April 2026.
Machine learning models predicted crop yield and soil greenhouse gas responses to biochar application, with soil and climate conditions identified as dominant factors. Global simulations and life cycle assessment quantified spatially optimized strategies and mitigation potential.
Xingyu Lu, Xiaolin Zhang, Junyu Yang, Fengping Chen   +3 more
wiley   +1 more source