Results 61 to 70 of about 1,759 (181)

Joint Identification of Groundwater Contamination Source and Heterogeneous Hydrogeological Parameters in LNAPL‐Contaminated Sites Based on Deep Convolutional Encoder‐Decoder Neural Networks

open access: yesWater Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate identification of nonaqueous phase liquid (NAPL) contamination sources is critical in pollution management. However, the joint inversion of source characteristics and heterogeneous hydrogeological parameters faces two major challenges.
Jiannan Luo   +6 more
wiley   +1 more source

Density-functional perturbation theory goes time-dependent

open access: yesAtti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, 2008
The scope of time-dependent density-functional theory (TDDFT) is limited to the lowest portion of the spectrum of rather small systems (a few tens of atoms at most).
Gebauer, Ralph   +2 more
doaj   +1 more source

A global Lanczos method for image restoration

open access: yesJournal of Computational and Applied Mathematics, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdeslem Hafid Bentbib   +3 more
openaire   +2 more sources

Latitude‐Dependent Sensitive Areas for Targeted Observations of Mesoscale Eddies Associated With Sea Surface Height Anomaly Forecasts

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract By employing the conditional nonlinear optimal perturbation approach within a two‐layer quasigeostrophic (QG) model, we investigate the sensitive areas for targeted observations of mesoscale eddies relevant to sea surface height anomaly (SSHA) forecasting and reveal their pronounced latitude dependence.
Lin Jiang, Wansuo Duan, Hui Wang
wiley   +1 more source

Inflationary power spectrum from the Lanczos algorithm

open access: yesEuropean Physical Journal C: Particles and Fields
The generalized Lanczos algorithm can provide a universal method for constructing a wave function under the the Hamiltonian group structure. Based on this fact, we obtain an open two-mode squeezed state as the quantum origin for the curvature ...
Ke-Hong Zhai   +2 more
doaj   +1 more source

Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models

open access: yesBMC Bioinformatics, 2019
Background Linear mixed-effects models (LMM) are a leading method in conducting genome-wide association studies (GWAS) but require residual maximum likelihood (REML) estimation of variance components, which is computationally demanding. Previous work has
Richard Border, Stephen Becker
doaj   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

open access: yesAdvanced Materials Technologies, Volume 11, Issue 13, 8 July 2026.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue   +8 more
wiley   +1 more source

Indefinite Ruhe’s Variant of the Block Lanczos Method for Solving the Systems of Linear Equations

open access: yesAdvances in Mathematical Physics, 2020
In this paper, we equip Cn with an indefinite scalar product with a specific Hermitian matrix, and our aim is to develop some block Krylov methods to indefinite mode.
M. Ghasemi Kamalvand, K. Niazi Asil
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 7, July 2026.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Probing Krylov complexity in scalar field theory with general temperatures

open access: yesJournal of High Energy Physics
Krylov complexity characterizes the operator growth in the quantum many-body systems or quantum field theories. The existing literatures have studied the Krylov complexity in the low temperature limit in the quantum field theories.
Peng-Zhang He, Hai-Qing Zhang
doaj   +1 more source

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