Results 141 to 150 of about 6,324 (226)

Hybridizing deep learning algorithms and geostatistical approaches for improved crop yield disaggregation. [PDF]

PLoS One
R S, Jain R, Singh VK, Bharadwaj A, Sehgal VK, Biswas A, Arora A, Krishna H.   +7 more
europepmc   +1 more source

A physics-informed deep learning approach for 3D acoustic impedance estimation from seismic data: application to an offshore field in the Southwest Iran. [PDF]

Sci Rep
Ghiasvand A, Javaherian A, Amirmazlaghani M, Saberi MR, Mahdavi Basir H.   +4 more
europepmc   +1 more source

Hybrid geostatistical and deep learning framework for geochemical characterization in historical mine tailings. [PDF]

Sci Rep
Anvari K, Benndorf J, Gerber G, Alisch U.   +3 more
europepmc   +1 more source

Winter inversions and summer smoke: A season-dependent approach to PM₂.₅ modeling with low-cost sensors in complex terrain. [PDF]

Sci Total Environ
Swanson A, Orr A, Holden ZA, Bocinsky K, Landguth EL.   +4 more
europepmc   +1 more source

Magnetic susceptibility as a proxy for soil contamination: cross-variogram analysis across contrasting land use areas. [PDF]

Environ Sci Pollut Res Int
Fabijańczyk P, Zawadzki J, Magiera T.
europepmc   +1 more source

Regional forest stock volume mapping using GEDI-based interpolation, multi-source remote sensing, and a multi-level stacking ensemble model in complex terrain. [PDF]

Front Plant Sci
Li Z, Shu Q, Fu L, Wei R, Zhang Y, Zhang X, Meng S.   +6 more
europepmc   +1 more source

Neuronal populations across the cortex underlie discrete, categorical, and subjective representations of visual durations. [PDF]

PLoS Biol
Centanino V, Fortunato G, Bueti D.
europepmc   +1 more source

A geostatistical imputation of first floor elevation data for mapping flood vulnerability. [PDF]

Nat Hazards (Dordr)
Raja P, Li Y, Gong J.
europepmc   +1 more source

Spatial variation, health risk assessment and transfer model of heavy metals in a soil-rice system: A case study in the typical production field of Southeastern China. [PDF]

Sci Rep
Zhou B, Zheng M, He Y, Lao J, Fang J, Zhao K, Sun Y, Fu W.   +7 more
europepmc   +1 more source

The variogram of the uniform transform of a random field

In the Probability Field Simulation algorithm (Froidevaux, 1992), it is required to model the variogram of the uniform transform of a random field. The properties of this last variogram are not well-known in literature.
Posa, D., De Cesare, L.
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