Results 81 to 90 of about 1,546 (231)

Control of Accuracy on Taylor-Collocation Method for Load Leveling Problem

open access: yesИзвестия Иркутского государственного университета: Серия "Математика", 2019
High penetration of renewable energy sources coupled with decentralization of transport and heating loads in future power systems will result even more complex unit commitment problem solution using energy storage system scheduling for efficient load ...
S. Noeiaghdam   +3 more
doaj   +1 more source

L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts

open access: yesComputer Graphics Forum, EarlyView.
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel   +6 more
wiley   +1 more source

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

open access: yesBoundary 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   +3 more
doaj   +1 more source

Visual Ensemble Analysis With Deep Learning Prediction for Studying the Effect of Tissue Properties on Radiofrequency Ablation

open access: yesComputer Graphics Forum, EarlyView.
We present an interactive visual analysis tool to study how patient‐specific tissue properties influence radiofrequency ablation outcomes. Using a deep‐learning surrogate model, we predict ablation volumes for unseen parameter settings with accuracy superior to interpolation, supporting improved treatment planning. Abstract Radiofrequency (RF) ablation
R. Sabbagh Gol   +7 more
wiley   +1 more source

COMPUTING CONTINUOUS-TIME GROWTH MODELS WITH BOUNDARY CONDITIONS VIA WAVELETS [PDF]

open access: yes
This paper presents an algorithm for approximating the solution of deterministic/stochastic continuous-time growth models based on the Euler's equation and the transversality conditions.
Mercedes Esteban-Bravo   +1 more
core  

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

open access: yesAdvances 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   +2 more
doaj   +1 more source

Survey on Visualization of Information Diffusion over Networks

open access: yesComputer Graphics Forum, EarlyView.
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl   +8 more
wiley   +1 more source

The Role of Remittances and FDI for the Current Account: The Case of Cambodia

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract This paper develops a small open economy real‐business‐cycle model to examine the dynamics of Cambodian current account. Differing from previous studies, our model incorporates both net foreign direct investment (FDI) and remittances as additional sources of macro‐economic fluctuations. Our results reveal that these two factors, especially FDI,
VEASNA KHENG, LEI PAN, XIAODONG FAN
wiley   +1 more source

Projection schemes for stochastic partial differential equations

open access: yes, 2009
The focus of the present work is to develop stochastic reduced basis methods (SRBMs) for solving partial differential equations (PDEs) defined on random domains and nonlinear stochastic PDEs (SPDEs).
Prerapa, Surya Mohan
core  

STOCHASTIC COLLOCATION FOR CORRELATED INPUTS [PDF]

open access: yes, 2015
Stochastic Collocation (SC) has been studied and used in different disciplines for Uncertainty Quantification (UQ). The method consists of computing a set of appropriate points, called collocation points, and then using Lagrange interpolation to ...
Witteveen, Jeroen   +5 more
core   +1 more source

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