Search Results - "Advances in Computational Science and Engineering"

Review of multi-fidelity models by Giselle Fernández-Godino, M.

“…Multi-fidelity models provide a framework for integrating computational models of varying complexity, allowing for accurate predictions while optimizing…”
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Classification Techniques for Behaviour study of Autism spectrum Disorder by Vignesh, U, Suma, K G, Elakya, R, Vinothini, C, Senthil Kumar, A M

“…Autism spectrum Disorder is a mental imbalance disorder. Research has distinguished that youngsters with Autism Spectrum Disorders (ASD) as a rule show…”
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Development of a Prototype Power Distribution Misuse Monitoring System by T Prabahar Godwin James, Ganesan, R, Kumar, Pardeep, Perumal, P

“…In order to satisfy the rising need for efficient energy Synchro phasor systems have a vast data volume for wide-range tracking and power system operation. In…”
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FPGA-based adaptive linear-line approximation and implementation for optimum photovoltaic device power control by Mohandas, R, Omkumar, S, Kumar, T Rubesh, D Rukmani Devi

“…Photovoltaic technology is one of the greatest attractions among the various renewable energy sources, coupled with the availability of atmospheric temperature…”
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Security Protection of Information Utilizing Halfway Speculation by Ishwarya, M V, Suganya, J, Nalini, M, Kumaresan, A, Anand, M Suresh

“…Securing privacy in information-digging (data mining) has become indispensable for buying and selling labelled statistics in statistical evaluation,…”
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Solar Based Water Quality Management System in Agriculture by S Sai Prasanth, Vidhya, K

“…The huge expansion in worldwide mechanical yield, country to metropolitan float and the over-use of land and ocean assets, the nature of water accessible to…”
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An Innovative Algorithm for Cluster-Based Decision Support System Using the Fuzzy Soft Set Approach by Jayagowri, P, Arockiaraj, S, Karthik, R

“…Hard sets and soft sets must be adopted for several unknown logistical problems. This paper seeks to solve the cluster-based decision-making dilemma…”
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Deep neural operator enabled digital twin modeling for additive manufacturing by Liu, Ning, Li, Xuxiao, Rajanna, Manoj R., Reutzel, Edward W., Sawyer, Brady, Rao, Prahalada, Lua, Jim, Phan, Nam, Yu, Yue

“…A digital twin (DT), with the components of a physics-based model, a data-driven model, and a machine learning (ML) enabled efficient surrogate model, behaves…”
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Time step adaptivity in the method of Dahlquist, Liniger and Nevanlinna by Layton, William, Pei, Wenlong, Trenchea, Catalin

“…Dahlquist, Liniger and Nevanlinna devised a family of one-leg two-step methods (DLN) that is second order, A- and G- stable for arbitrary, non-uniform time…”
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Challenges in realizing 3rd generation multidisciplinary design optimization by Antonau, Ihar, Warnakulasuriya, Suneth, Baars, Susanna, Baimuratov, Ildar, Wittenborg, Tim, Kreuzeberg, Lasse, Attravanam, Achyuth, Wüchner, Roland

“…With the increasing complexity of airplane design, multidisciplinary design optimization (MDO) plays a more critical role in this task, which requires…”
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A parameter-driven physics-informed neural network framework for solving two-parameter singular perturbation problems involving boundary layers by Boro, Pradanya, Raina, Aayushman, Natesan, Srinivasan

“…In this article, our goal is to solve two-parameter singular perturbation problems (SPPs) in one- and two-dimensions using an adapted Physics-Informed Neural…”
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On the efficiency of explicit and semi-explicit immersed boundary finite element methods for wave propagation problems by Bürchner, Tim, Radtke, Lars, Kopp, Philipp, Kollmannsberger, Stefan, Rank, Ernst, Düster, Alexander

“…Immersed boundary methods have attracted substantial interest in the last decades due to their potential for computations involving complex geometries. Often…”
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Enhanced forecasting of Biomass-toxicity-water models using numerical simulations by Abbas, Mudassar, Giannino, Francesco, Iuorio, Annalisa, Calabrò, Francesco

“…Numerical techniques are essential tools to solve reaction-diffusion models in ecology, addressing the intrinsic complexity arising from nonlinear and coupled…”
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An unfitted domain approach using a stabilized residual minimization method for Dirichlet problems by Giraldo, Juan F., Calo, Victor M.

“…This work presents a novel, unfitted approach based on an adaptive stabilized Finite Element Method (FEM) through residual minimization. The approach embeds…”
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Local divergence-free immersed finite element-difference method using composite B-splines by Li, Lianxia, Gruninger, Cole, Lee, Jae H., Griffith, Boyce E.

“…In the class of immersed boundary (IB) methods, the choice of the regularized delta function plays a crucial role in transferring information between fluid and…”
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Concurrent two-way coupling of global and local models across internal boundaries with non-matching discretizations by Kang, Soonpil, Masud, Arif

“…Coupling local and global models enables efficient simulation of multiscale systems, where global models capture large-scale behavior and local models, with…”
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Octree-based adaptive mesh refinement and the shifted boundary method for efficient fluid dynamics simulations by Yang, Cheng-Hau, Scovazzi, Guglielmo, Krishnamurthy, Adarsh, Ganapathysubramanian, Baskar

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Extended B-spline-based mixed material point method stabilized by the variational multiscale method for compressible and nearly incompressible hyperelastic materials by Sugai, Riichi, Nomura, Reika, Moriguchi, Shuji, Terada, Kenjiro

“…To further improve the stability of the extended B-spline (EBS) based material point method (EBSMPM), a displacement-pressure ($ \mathit{\boldsymbol{u}} $-$ p…”
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A model hierarchy for predicting the flow in stirred tanks with physics-informed neural networks by Trávníková, Veronika, Wolff, Daniel, Dirkes, Nico, Elgeti, Stefanie, von Lieres, Eric, Behr, Marek

“…This paper explores the potential of Physics-Informed Neural Networks (PINNs) to serve as Reduced Order Models (ROMs) for simulating the flow field within…”
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Hybrid reduced order model for heat exchange in concentrated solar power receivers by Rebollo, Tomás Chacón, Fernández, Carlos Núñez, Rubino, Samuele, Valverde, Juan S.

“…We present a proper orthogonal decomposition-reduced order model (POD-ROM) approach to the heat transfer fluid (HTF) problem in the modeling of concentrated…”
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