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Impact Force Localization and Reconstruction via ADMM-based Sparse Regularization Method
In practice, simultaneous impact localization and time history reconstruction can hardly be achieved, due to the ill-posed and under-determined...
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Degradation effects in concrete bound ferrochrome slag under aggressive sulphuric acid and sulphate attack
Ferrochrome slag (FS) having favourable mechanical properties) may be gainfully utilised as concrete aggregate. The concrete specimens with FS,...
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Transferable preference learning in multi-objective decision analysis and its application to hydrocracking
Hydrocracking represents a complex and time-consuming chemical process that converts heavy oil fractions into various valuable products with low...
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A hyperparameter study for quantum kernel methods
Quantum kernel methods are a promising method in quantum machine learning thanks to the guarantees connected to them. Their accessibility for...
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TRAA: a two-risk archive algorithm for expensive many-objective optimization
Many engineering problems are essentially expensive multi-/many-objective optimization problems, and surrogate-assisted evolutionary algorithms have...
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Hybrid genetic optimization for quantum feature map design
Kernel methods are an import class of techniques in machine learning. To be effective, good feature maps are crucial for map** non-linearly...
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Influence of the penetration of adjacent X-section cast-in-place concrete (XCC) pile on the existing XCC pile in sand
A series of small-scale 1 g X-section cast-in-place concrete (XCC) pile-penetration model tests were conducted to study the effects of soil density...
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Influence of ultrasound on the dynamics of an air bubble near a solid surface
In many technological processes, wettability plays an important role. There are various methods to control the wettability. The use of ultrasound can...
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Robust sampled-data synchronization of chaotic fractional variable order neural networks with time delays
This paper investigates the synchronization problem of master and slave fractional variable-order delayed neural networks (FVODNNs) under the...
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Comparative efficacy of citric acid/tartaric acid/malic acid additive-based polyvinyl alcohol-starch composite films
To ascertain upon the ideal configuration of physico-mechanical qualities, efficient processing techniques, and network stability of the prepared...
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Modeling and Validation of Diamagnetic Rotor Levitated by Permanent Magnetics
As an innovative, low-power consuming, and low-stiffness suspension approach, the diamagnetic levitation technique has attracted considerable...
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Vibration Control of the Rail Grinding Vehicle with Abrasive Belt Based on Structural Optimization and Lightweight Design
As a new grinding and maintenance technology, rail belt grinding shows significant advantages in many applications. The dynamic characteristics of...
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Analysis of permanent deformation in asphalt mixtures using Mohr–Coulomb criteria
This study aimed to investigate the influence of the internal friction angle on the mechanical properties and resistance to permanent deformation of...
