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Applying computational intelligence methods to evaluate lateral load capacity for a pile
Pile foundations are often subjected to lateral pressures in addition to axial loads due to earthquakes, ground pressure, and wind pressures in...
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Artificial intelligence for digital and computational pathology
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence, including deep learning, have boosted the field of...
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Imposing Dirichlet boundary conditions directly for FFT-based computational micromechanics
We discuss how Dirichlet boundary conditions can be directly imposed for the Moulinec–Suquet discretization on the boundary of rectangular domains in...
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Computational Fluid Dynamics in Cardiovascular Engineering: A Comprehensive Review
This study delves into the most recent advancements in computational fluid dynamics (CFD) and fluid–structure interaction (FSI) modeling applied to...
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Perspectives of Peridynamic Theory in Wind Turbines Computational Modeling
The applications of wind turbines are consistently increasing across the globe. Competent and sustainable wind energy harnessing inherently requires...
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Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch
With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided...
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A review of nonlinear FFT-based computational homogenization methods
Since their inception, computational homogenization methods based on the fast Fourier transform (FFT) have grown in popularity, establishing...
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A Summary of Translating Health Care Through Intelligent Computational Methods
Conventional drugs are mainly used in elderly people and they use herbal medicine as a substitute to improve the treatment of chronic disorders. Yet,...
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A Review on Computational Methods for Denoising and Detecting ECG Signals to Detect Cardiovascular Diseases
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular diseases (CVDs) are the leading cause of death worldwide....
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Computational Methods Based on Peridynamics and Nonlocal Operators Theory and Applications
This book provides an overview of computational methods based on peridynamics and nonlocal operators and their application to challenging numerical...
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Numerical Integration Methods
During this chapter, the topic of numerical integration methods is discussed. As the inverse operation of a derivative, the integration methods are...
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Diffusion models in bioinformatics and computational biology
Denoising diffusion models embody a type of generative artificial intelligence that can be applied in computer vision, natural language processing...
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Failure assessment of armour grade tensile weld specimen: experimental, computational and analytical approach
Armour grade steel is high strength steel and it is used to build structures in defence applications. The weld zone of the armour weldment has lower...
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Computational fluid dynamics modeling of gas-solid fluidized bed reactor: Influence of numerical and operating parameters
In this paper, the most influential parameters (numerical and operating parameters) affecting the performance of fluidized bed reactors are studied....
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Experimental investigation of UAV rotor aeroacoustics and aerodynamics with computational cross-validation
The study provided a base of comparison of known computational techniques with different fidelity levels for performance and noise prediction of a...
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Graphic Computational Thinking in Descriptive Geometry
Humans and machines recognize or understand various 3D shapes through projections from different views. Descriptive Geometry (DG) constructs...
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A graph-based methodology for constructing computational models that automates adjoint-based sensitivity analysis
The adjoint method provides an efficient way to compute sensitivities for system models with a large number of inputs. However, implementing the...
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Conversational Systems and Computational Intelligence, A Critical Analysis
The increase in research on conversational systems and their applications, constitutes the main motivation of this work. In this research, a critical...
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A computational two-scale approach to cancellous bone remodelling
We propose a novel two-scale (meso-macro-scale) approach to computationally capture cancellous bone remodelling allowing for efficient and effective...
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Materials and devices as solutions to computational problems in machine learning
The growth of machine learning, combined with the approaching limits of conventional digital computing, are driving a search for alternative and...
