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Interpretable Predictive Model for Inclusions in Electroslag Remelting Based on XGBoost and SHAP Analysis
The use of machine learning techniques in the metallurgical field has been gradually expanding, but its application in the area of electroslag...
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Predictive Model for Creep Behavior of Composite Materials Using Gene Expression Programming
In this article, a new method for establishing creep predictive model using gene expression programming (GEP) is proposed. The three-point bending...
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Map** landscape in Longshan period’s hierarchical society (3000–2000BCE) of North Loess Plateau: from archaeological predictive model to GIS spatial analysis
On the North Loess Plateau of China, city civilization, social complexity, and stratification emerged during the Longshan period (3000-2000BCE)....
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A PCA-Integrated OGM (1, N) Predictive Model for In-Process Tool Wear Prediction Based on Continuous Monitoring of Multi-Sensorial Information
In the modern machining process, catastrophic tool failure has become a significant problem because the machining quality and efficiency depend on...
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Energy management strategy using model predictive control for power-to-gas (PtG) system integrated with microgrid
AbstractThe present study proposes a model predictive control (MPC)-based energy management strategy (EMS) for a hybrid storage-based microgrid (µG)...
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Fuzzy controller-based predictive speed control of a permanent magnet synchronous motor
In order to control permanent magnet synchronous motor systems with different and nonlinear disturbances, this paper offers an enhanced current...
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Finite-Control-Set Model Predictive Control (FCS-MPC) and Fuzzy Self-Adaptive PI Controller (FSA-PIC) for Wind Turbine System Based on DFIG
This paper aims at conducting a comparative analysis between two control strategies, namely the finite-control-set model predictive control (FCS-MPC)...
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Predictive Modeling of the Mechanical Properties of Alpha Alumina Using Artificial Neural Networks and Multiple Linear Regression
In the present study, we built predictive models of the mechanical properties (Young’s modulus, fracture strength and toughness) of α-Al 2 O 3 ....
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Uncovering the predictive pathways of lithium and sodium interchange in layered oxides
Ion exchange is a powerful method to access metastable materials with advanced functionalities for energy storage applications. However, high...
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Enhancing Predictive Capabilities: Machine Learning Approaches for Predicting Mechanical Behavior in Friction Stir Welded Aluminum Alloys
Accurate prediction of friction stir welding (FSW) joint behavior is crucial for optimizing welding processes and ensuring structural integrity. This...
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Optimizing the performance of vapor-deposited perovskite solar cells through advanced predictive modeling
Perovskite solar cells have emerged as a promising frontier in the realm of renewable energy due to their notable attributes of high efficiency and...
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Model Refinement
ModelModels refinement is a critical process in machine learningMachine learning that aims to enhance the performance and generalization of...
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Fully Predictive Micro-mechanical Modelling for Shear Viscosities of Continuous Fiber Reinforced Polymer Composites
Optimisation design of composite structures requires an accurate predictive model for forming behaviour. The simulation process contains a number of...
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Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets
Modern data mining methods have demonstrated effectiveness in comprehending and predicting materials properties. An essential component in the...
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Toward a Physical Basis for a Predictive Finite Element Thermal Model of the LENS™ Process Leveraging Dual-Wavelength Pyrometer Datasets
Predicting the thermal history of a component produced via metal-based additive manufacturing is an important step of the part qualification process...
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Pre-treatment of Waste Copper Dust (II): Optimum Predictive Models and Experimental Data Error Margin
The reliability of an optimum predictive model is dependent on its consistency with experimental data. Hence, this study aimed at determining the...
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Influence of Na2SiO3/NaOH Ratio on Calcined Magnesium Silicate Based Geopolymer—Experimental and Predictive Study
This study aims to investigate the behavior of alkali activated mortar, which is made of naturally available magnesium silicate as source material....
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Direct current field enhanced boronizing of stainless steels and predictive performance of diffusion kinetics, deep neural network, and adaptive neuro-fuzzy inference system on boride layer thickness
The boronizing process is a thermochemical surface treatment related to diffusion and requires high temperature and long-period soaking time. The...
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Machine Learning-Based Chronic Kidney Cancer Prediction Application: A Predictive Analytics Approach
Chronic Kidney Cancer (CKC) is a disease that hindrances the blood-filtering mechanism of the kidney and is increasing at an alarming rate in the...
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Evaluation of the Predictive Capacity of Viscosity Models in Polymer Melt Filling Simulations
The increase in computational power in the last years has favored application of simulation strategies to forming operations, especially injection...
