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A ModEx Framework for Watershed Subsurface Investigation With Limited Geophysical Data Using Machine Learning and Hydrologic Modeling

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Subsurface heterogeneity influences watershed hydrology strongly but remains difficult to characterize at catchment scales with sparse and costly field data. Geophysical surveys such as electromagnetic induction (EMI) provide local spatial subsurface images yet scaling them to watershed scales and converting EMI‐derived resistivity into ...
Hang Chen, Robin Thibaut, Chunwei Chou, Chen Xiong, Yuxin Wu   +4 more
wiley   +1 more source

Human capital's dual impact: Advancing innovation and technology diffusion in ASEAN-5 through the Nelson-Phelps-Romer Lens. [PDF]

PLoS One
Thach NN.
europepmc   +1 more source

Adaptive Super-Twisting Sliding Mode Control for Robot Manipulators with Input Saturation. [PDF]

Sensors (Basel)
Jing C, Zhang H, Liu Y, Zhang J.
europepmc   +1 more source

Adaptive dynamics of diverging fitness optima. [PDF]

J Math Biol
Duong MH, Spill F, Van Rensburg B.
europepmc   +1 more source

Gross primary productivity analyses suggest higher ENSO-mediated impacts in lowland cacao areas compared to mountain coffee regions in Latin America. [PDF]

Sci Rep
González-González A, Quesada B, Clerici N, Fernández-Manjarrés J.   +3 more
europepmc   +1 more source

A Criterion for Distinguishing Temporally Different Dynamical Systems. [PDF]

Entropy (Basel)
Kagan E.
europepmc   +1 more source

Non-communicable Diseases Among Tribal Populations in India: Epidemiology, Social Determinants, and Tailored Public Health Approaches. [PDF]

Cureus
Devi R S, V M AE, Pandian S, Albert Sekhar M, Manivannan P.   +4 more
europepmc   +1 more source

Almost everywhere convergence of spline sequences [PDF]

Israel Journal of Mathematics, 2017
We prove the analogue of the Martingale Convergence Theorem for polynomial spline sequences. Given a natural number k and a sequence (ti) of knots in [0, 1] with multiplicity ≤ k − 1, we let Pn be the orthogonal projection onto the space of spline ...
P. Müller, M. Passenbrunner
semanticscholar   +4 more sources