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Identifying the impact of key parameters on the drying kinetics of onion (Allium cepa L.) slices
Published 2025-12-01“…The findings illustrate that the temperature parameter exerts the most substantial influence on onion slice drying, contributing to 78.13% of drying time reduction and 51.33% in moisture ratio variation. …”
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Discrete Element Simulation Parameter Calibration of Wheat Straw Feed Using Response Surface Methodology and Particle Swarm Optimization–Backpropagation Hybrid Algorithm
Published 2025-07-01“…The PSO-BP model exhibited superior optimization performance compared to RSM, yielding an optimal parameter combination of 0.17, 0.46, and 0.03. …”
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223
Is It Sufficient to Select the Optimal Class Number Based Only on Information Criteria in Fixed- and Random-Parameter Latent Class Discrete Choice Modeling Approaches?
Published 2024-08-01“…We compared models using commonly used indicators such as the Bayesian information criterion, and we took into account, among others, a seemingly simple but often overlooked indicator such as the ratio of significant parameter estimates. Based on our results, it is not sufficient to decide on the optimal number of classes in the latent class modeling based on only information criteria. …”
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Experimental investigation and laser control in Ti10Mo6Cu powder bed fusion: optimizing process parameters with machine learning
Published 2025-07-01“…Abstract Laser Powder Bed Fusion (LPBF) is a key additive manufacturing technique, yet achieving optimal track formation remains a challenge due to the complex interplay of laser parameters. …”
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Optimizing laser parameters and exploring building direction dependence of corrosion behavior in NiTi alloys fabricated by laser powder bed fusion
Published 2024-11-01“…The microstructure and materials performance of Laser Powder Bed Fusion-fabricated (LPBFed) NiTi shape memory alloys (SMAs) varies depending on the laser parameters and building directions. This study initially optimized the laser processing parameters (laser power and scanning speed) for LPBFed NiTi SMAs to enhance their printing quality and mechanical properties. …”
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229
Multi-objective optimization of laser machining parameters for carbon-glass reinforced hybrid composites: Integrating gray relational analysis, regression, and ANN
Published 2024-12-01“…Using the Taguchi L27 orthogonal array, one can methodically investigate how different parameters affect CGFRP cutting. GRA is used in optimization to find the best parameter combinations and highlight important parameters. …”
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230
Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line
Published 2025-10-01“…This paper presents a study on multi-objective optimization (MOO) of shield operational parameters (SOPs) for soft ground tunneling using a tunnel boring machine (TBM) in an urban environment, focusing on the case study of the MRT Blue Line in Bangkok. …”
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231
Feature Importance Analysis for Compressive Bearing Capacity of HSCM Piles Based on GA-BPNN
Published 2025-08-01“…Laboratory tests further confirm strong correlations between cement–soil strength <i>C</i><sub>ref</sub>, formed pile diameter <i>D</i><sub>sc</sub>, and bearing capacity. The findings indicate that the GA-BPNN model provides an efficient and accurate approach for predicting the bearing capacity of HSCM piles, offering a reliable basis for engineering parameter optimization.…”
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Optimizing Scalp Cooling: (Ultra)Structural Follicular Characteristic and Restorative Advances
Published 2025-06-01“…While these require further clinical validation, the findings highlight the potential to improve scalp cooling outcomes and raise the standard of supportive oncologic care.Keywords: scalp cooling, chemotherapy-induced alopecia, hair shaft integrity, trichological parameters, cuticle damage, therapeutic optimization…”
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Optimization of process parameters in 3D-nanomaterials printing for enhanced uniformity, quality, and dimensional precision using physics-guided artificial neural network
Published 2024-12-01“…A key challenge in this domain is optimizing process parameters—applied pressure, ink concentration, nozzle diameter, and printing velocity—to achieve uniform, high-quality prints with the desired filament diameter. …”
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Optimization of Vertical Ultrasonic Attenuator Parameters for Reducing Exhaust Gas Smoke of Compression–Ignition Engines: Efficient Selection of Emitter Power, Number, and Spacing...
Published 2025-07-01“…This article presents experimental results of the effects of ultrasonic emitter parameters, including the number, arrangement, and power, along with the engine speed, on the exhaust smoke density. …”
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236
Concept design, application and optimization of operational parameters for new forced safety injection tank system [version 2; peer review: 2 approved]
Published 2025-05-01“…As the proposed design is a conceptual design, the optimization of associated operational parameters and set points is necessary. …”
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237
Optimization of 3D Extrusion Printing Parameters for Raw and Extruded Dehulled Andean Fava Bean Flours Using Response Surface Methodology (RSM)
Published 2025-02-01“…This study optimizes the 3D extrusion printing parameters—water-to-flour ratio (X<sub>1</sub>), temperature (X<sub>2</sub>), and printing speed (X<sub>3</sub>)—for raw (RFB) and extruded (EFB) dehulled Andean fava bean flours to maximize print quality and minimize structural defects. …”
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Optimization process parameters in laser welding of CLF-1/316LN-IG dissimilar steels for improved welded joint formation and mechanical performance
Published 2025-09-01“…The focus of this work is primarily on the optimization of the key process parameters to ensure welded joints integrity and mechanical performance. …”
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The performance evaluation of chaotic maps in estimating the shape parameters of radial basis functions to solve partial differential equations
Published 2024-06-01“…In the first stage, the FCW algorithm is utilized to obtain the optimal shape parameter for radial basis functions, followed by the Kansa method in the second stage to estimate the Root Mean Square (RMS) error for approximate solutions.Findings: Numerical results indicate that approximately 95% of the results obtained from two partial differential equations using PSO and FCW algorithms are similar. …”
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