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Precipitation of secondary Laves phases and its effect on notch sensitivity
The precipitation of secondary Laves phases and its effect on notch sensitivity are systematically studied in Thermo-Span alloy. The results show...
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Standard operating procedures for utilizing household combustible waste as an alternative fuel for the cement industry
In the Korean cement industry, cement is not produced using fossil fuel such as bituminous coal alone but rather using combustible waste as an...
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On the performance of expert-augmented machine learning with limited experimental data collected from powder particle characteristics used in laser powder bed fusion
Laser powder bed fusion (LPBF) is a metal additive manufacturing (AM) process where a part is created layer-by-layer through the melting and...
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The critical community size on network
A heterogeneous mean-field SIRS infectious disease stochastic dynamic model with population size is established, the main period of the model and the...
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Assessing the setting behavior of ultra-high performance concrete
The setting behavior of ultra-high performance concrete (UHPC) is demonstrably different from that of conventional concrete; thus, tools and guidance...
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Real-Time Tracking of Basketball Trajectory Based on the Associative MCMC Model
In basketball videos, the trajectories of a basketball changes rapidly. Since the visual features changes in a more homogeneous region, the frame...
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Axisymmetric Contact Problem for a Homogeneous Space with a Circular Disk-Shaped Crack Under Static Friction
The paper considers an axisymmetric stress state of a homogeneous elastic space with a circular disc-shaped crack, one of the edges of which is...
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Machine learning based models for predicting compressive strength of geopolymer concrete
Recently, great attention has been paid to geopolymer concrete due to its advantageous mechanical and environmentally friendly properties. Much...
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An effective investigation of chatter prediction system on Al6061 alloy in an end milling process
Visual examination of the surface topography, in conjunction with the other sensors, may confirm the existence of chatter. Online chatter detection...
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Wirtinger-based fractional summation inequality for stability analysis of nabla discrete fractional-order time-delay systems
This paper centers on the stability analysis of nabla discrete fractional-order systems with time delay. The innovation in this study lies in the...
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Optimization of Spectral and Energy Efficiencies Trade-Off Using Multi-objective Forest Optimization Algorithm in Massive MIMO Systems
Increasing the area throughput is one of the leading solutions in terms of preventing data traffic density, which is one of the current problems in...
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A comparative analysis of machine learning techniques for building cooling load prediction
This study evaluates the effectiveness of various machine learning techniques SVM, Naive Bayes, Linear Regression, and Decision Tree in estimating...
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Investigation on the focusing and separation of polystyrene microbeads in an integrated microfluidic system using magnetized functionalized flexible micro-magnet arrays
Focusing and separation of cells by microfluidic techniques are significant steps in many applications, such as single-cell analysis and disease...
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Optimization model of combined peak shaving of virtual power grid and thermal power based on power IoT
In order to improve energy efficiency, reduce dependence on fossil fuels, and enhance the sustainable development capability of the power system,...
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Federated quantum long short-term memory (FedQLSTM)
Quantum federated learning (QFL) can facilitate collaborative learning across multiple clients using quantum machine learning (QML) models, while...
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Three-dimensional artistic design method of ceramic products based on recurrent neural network technology
Three-dimensional digital technology has made breakthroughs and shown unique advantages in all walks of life. On the basis of practicality, the...
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Machine learning classification approach for predicting tensile strength in aluminium alloy during friction stir welding
The machine learning (ML) methodology is receiving significant attention as a promising approach for addressing and modeling manufacturing...
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Dynamic Transcriptional Programs During Single NK Cell Killing: Connecting Form to Function in Cellular Immunotherapy
IntroductionNatural killer (NK) cell-based therapies are a promising new method for treating indolent cancer, however engineering new therapies is...
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Deep Learning Models for Skin Cancer Classification Across Diverse Color Spaces: Comprehensive Analysis
Color space plays an important role in various aspects of imaging tasks. However, in deep learning-based computer vision, the RGB color model is...
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Design and analysis of dual working area micro-hotplate based on thermal crosstalk
Micro-hotplates have provided the possibilities of miniaturization, low power consumption, and high integration for widespread application in MEMS...