Results 61 to 70 of about 1,922,795 (290)

An Emergency Georeferencing Framework for GF-4 Imagery Based on GCP Prediction and Dynamic RPC Refinement

open access: yesRemote Sensing, 2017
GaoFen-4 (GF-4) imagery has very potential in terms of emergency response due to its gazing mode. However, only poor geometric accuracy can be obtained using the rational polynomial coefficient (RPC) parameters provided, making ground control points ...
Pengfei Li   +4 more
doaj   +1 more source

Rational and polynomial representations of Yangians [PDF]

open access: yes, 2014
We define natural classes of rational and polynomial representations of the Yangian of the general linear Lie algebra. We also present the classification and explicit realizations of all irreducible rational representations of the ...
Maxim Nazarov   +5 more
core   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Topography-aware registration refinement of Landsat 8/9 L1TP products with Sentinel-2 L1C and NAIP orthoimages

open access: yesISPRS Open Journal of Photogrammetry and Remote Sensing
Satellite orthoimage products are widely available, yet residual geometric misregistration across independently processed products remains common, limiting their direct interoperability for multi-source and multi-temporal analysis.
Jiageng Zhong   +6 more
doaj   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

A rational cubic spline with tension [PDF]

open access: yes, 1989
A rational cubic spline curve is described which has tension control parameters for manipulating the shape of the curve. The spline is presented in both interpolatory and rational B-spline forms, and the behaviour of the resulting representations is ...
Gregory, JA, Sarfraz, M
core   +4 more sources

Exact certification in global polynomial optimization via sums-of-squares of rational functions with rational coefficients

open access: yesJournal of Symbolic Computation, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Erich L. Kaltofen   +3 more
openaire   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary   +1 more
wiley   +1 more source

Advanced voltage selection model for a gas field electrical distribution grid

open access: yesИзвестия Томского политехнического университета: Инжиниринг георесурсов
Relevance. In the development of a gas fields, an important function is performed by the power supply system. One of the main criteria affecting the reliability of the power supply system is the correctly selected voltage class.
A.A. Yarkina   +3 more
doaj   +1 more source

A Double Epipolar Resampling Approach to Reliable Conjugate Point Extraction for Accurate Kompsat-3/3A Stereo Data Processing

open access: yesRemote Sensing, 2020
Kompsat-3/3A provides along-track and across-track stereo data for accurate three-dimensional (3D) topographic mapping. Stereo data preprocessing involves conjugate point extraction and acquisition of ground control points (GCPs), rational polynomial ...
Jaehong Oh, Youkyung Han
doaj   +1 more source

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