Results 131 to 140 of about 449 (213)

Robust Constrained Partial Least Squares: A Robust Integrated Algorithm for Multivariate Regression in the Presence of Outliers, Interfering Analytes, and Structured External Influences

open access: yesJournal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Partial least squares (PLS) regression is widely used for multivariate calibration in high‐dimensional and collinear settings. However, classical PLS relies on least squares optimization and is therefore sensitive to anomalous observations, leverage points, and structured spectral interferences.
Puneet Mishra
wiley   +1 more source

Optimized Mesh Zoning for Dam Bottom Outlet CFD Simulations Using Richardson Extrapolation and Grid Convergence Analysis

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
A Richardson‐extrapolation–based mesh zoning framework is developed to optimize CFD simulation accuracy and computational efficiency in dam bottom outlet flows. Using six mesh scenarios and multi‐parameter convergence analysis (pressure, velocity, TKE), the method identifies an optimal fine‐resolution zone around the gate and progressively coarser ...
Mohammad Masoud Vaseti   +2 more
wiley   +1 more source

Topics on interpolation problems in Algebraic Geometry

open access: yes, 2004
These are notes of the lectures given by the authors during the school/workshop "Polynomial Interpolation and Projective Embeddings". We mainly focus our attention on the planar case and on the Segre and Harbourne-Hirschowitz Conjectures.
Miranda R., BOCCI, CRISTIANO
core  

Optimizing the Collaborative Supply Scheduling of Renewable Energy in the Tourism Industry Chain Using Graph Neural Networks

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
Typical configuration of Huangshan Scenic Area. ABSTRACT To cope with the supply and demand imbalance challenge caused by the surge in energy demand in tourism‐intensive areas and the high volatility of renewable energy, this paper aims to construct a collaborative scheduling optimization model based on graph neural networks (GNNs). The model abstracts
Lixia Wang
wiley   +1 more source

Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]

open access: yesMach Learn Sci Technol
Papillon M   +10 more
europepmc   +1 more source

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