Results 61 to 70 of about 641 (195)

A multi-collocation method for coastal zone observations with applications to Sentinel-3A altimeter wave height data [PDF]

Ocean Science, 2019
In many coastal areas there is an increasing number and variety of observation data available, which are often very heterogeneous in their temporal and spatial sampling characteristics.
J. Schulz-Stellenfleth, J. Staneva
doaj   +1 more source

A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method [PDF]

SIAM Journal on Numerical Analysis, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guignard, Diane, Nobile, Fabio
openaire   +1 more source

Holistic Retrieval of Absolute Coseismic Displacement Fields From Single Interferograms via Physics‐Aware GANs

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract The efficacy of rapid seismic response is fundamentally constrained by the sequential, multi‐step nature of conventional InSAR processing, where error propagation and reliance on auxiliary data hinder automation. Here, we present a holistic framework using Physics‐Aware Generative Adversarial Networks (GANs) to directly retrieve absolute ...
Chuanhua Zhu, Jiaqiao Gan, Zuqi Lan, Chisheng Wang   +3 more
wiley   +1 more source

Walsh function-based numerical approach for nonlinear stochastic integral equations: Application to stochastic logistic models

Boundary Value Problems
The current research study proposes an efficient numerical method for obtaining an approximate solution to nonlinear stochastic integral equations implementing the collocation method and the Walsh operational matrices.
Prit Pritam Paikaray, Sanghamitra Beuria, Nigam Chandra Parida, Mohammad Izadi   +3 more
doaj   +1 more source

Uncertainty Quantification in Planning Aircraft Ground Movement Operations With Towbarless Robotic Tractors

International Journal of Robust and Nonlinear Control, Volume 36, Issue 5, Page 2542-2556, 25 March 2026.
ABSTRACT This article addresses the problem of quantifying the uncertainty in planning aircraft ground movement operations using towbarless robotic tractors taking into account the inherent uncertainties of the problem, specifically, the uncertainties in the weight of the aircraft and in the rolling resistance of the wheels of the main landing gear ...
Almudena Buelta, Alberto Olivares, Ernesto Staffetti   +2 more
wiley   +1 more source

A spectral collocation method for stochastic Volterra integro-differential equations and its error analysis

Advances in Difference Equations, 2019
Volterra integro-differential equations arise in the modeling of natural systems where the past influence the present and future, for example pollution, population growth, mechanical systems and financial market. Furthermore, as many real-world phenomena
Sami Ullah Khan, Mushtaq Ali, Ishtiaq Ali   +2 more
doaj   +1 more source

Sentinel‐5p Reveals Unexplained Large Wildfire Carbon Emissions in the Amazon in 2024

Geophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract In 2024, the Amazon region experienced severe wildfires driven by exceptional drought conditions. Advanced fire emission models estimated Amazon carbon monoxide (CO) emissions between 28 and 62 Tg during the main August‐September Amazon fire season. The majority of the 2024 CO emissions came from (understorey) forest fires, unlike the previous
A. T. J. de Laat, N. Andela, M. Forkel, V. Huijnen, D. Kinalczyk, D. van Wees   +5 more
wiley   +1 more source

Stochastic collocation and stochastic Galerkin methods for linear differential algebraic equations

Journal of Computational and Applied Mathematics, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Surface Observations From Atmospheric Radiation Measurement Sites Constrain the Anthropogenic Contribution to Cloud Droplet Number

Geophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract Uncertainty in anthropogenic forcing driven by aerosol‐cloud interactions (aci) limits our ability to infer the sensitivity of the Earth system to forcing from historical records. The driver of aci is the change in cloud droplet number concentration (Nd) due to changes in aerosol serving as cloud condensation nuclei (CCN).
Dani B. Jones, Hunter Y. Brown, Jacqueline M. Nugent, August Mikkelsen, Ci Song, Damao Zhang, Susannah M. Burrows, Hamish Gordon, Andrew Kirby, Daniel T. McCoy   +9 more
wiley   +1 more source

CNN‐Based Accent Similarity Detection Using Masked Spectrogram Reconstruction

Engineering Reports, Volume 8, Issue 3, March 2026.
Convolutional Neural Network Masked Spectrogram Reconstruction model to enhance accent recognition and similarity assessment in automatic speech recognition. Addressing challenges in recognizing non‐native English accents, the method utilizes randomly masked spectrogram inputs to extract accent‐specific features.
Amina Salifu, Henry Nunoo‐Mensah, Eric Tutu Tchao, Albert Dede, Francisca Adoma Acheampong, Matthew Cobbinah, Julius Adinkrah, Andrew Selasi Agbemenu, Jerry John Kponyo   +8 more
wiley   +1 more source