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Triboinformatic analysis and prediction of B4C and granite powder filled Al 6082 composites using machine learning regression models
Published 2025-07-01“…Abstract The traditional methods for fabricating and evaluating wear properties are inherently time-consuming and financially demanding. …”
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Finite Element Stress Model of Direct Band Gap Ge Implementation Method Compatible with Si Process
Published 2019-01-01“…Among the various implementations of Ge band gap-type conversion, the related methods that are compatible with the Si process are most promising. …”
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CFD modeling of heat transfer through composites for protective gloves containing aerogel and Parylene C coatings supported by micro-CT and thermography
Published 2025-06-01“…In the first part, three-dimensional models of real composites based on cotton fabrics and aerogel were designed using the original method of Parylene C deposition in the chemical vapour deposition (CVD) process, which have potential application in thermal protective gloves. …”
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The effect of the lamella pitch in the transverse layer on the deformability and stress distribution in a three-layer CLT panel modeled as a composite plate
Published 2023-09-01“…We studied the effect of the pitch of the transverse layer in a three-layer CLT panel on the deformation and distribution of the resulting normal stresses. The model was a composite orthotropic plate. Because of the lack of a unified methodology for calculating layered materials with orthotropic properties in the layers, the studies were carried out by means of the SCAD+ computational complex using the finite element method. …”
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Experimental Investigation and Machine Learning Modeling of Tribological Characteristics of AZ31/B<sub>4</sub>C/GNPs Hybrid Composites
Published 2024-11-01“…In this study, the AZ31 hybrid composites reinforced with boron carbide (B<sub>4</sub>C) and graphene nano-platelets (GNPs) are prepared by the stir casting method. …”
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How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition
Published 2020-10-01“…This model differentiates from others already published because it uses the probabilistic composition of preferences (PCP) method, which does not require the assignment of weights. …”
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Data-Driven ANN-Based Predictive Modeling of Mechanical Properties of 5Cr-0.5Mo Steel: Impact of Composition and Service Temperature
Published 2025-02-01“…We propose an easy-to-use model’s GUI to predict steel composition to achieve desired properties at any temperature. …”
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Development of a personalized diet using the structural optimization method
Published 2023-04-01Get full text
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Advances in interlayer bonding in fused deposition modelling: a comprehensive review
Published 2025-12-01“…Fused deposition modeling (FDM) has established itself as a major additive manufacturing technology for the production of parts made of polymer and composite materials. …”
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Interphase investigation of modified McLachlan model and the 3D finite element method for electrical conductivity
Published 2025-01-01“…This paper explores the electrical conductivity interphase of Ag/Epoxy composite using modified McLachlan theory and 3D finite element composite model through experimental verification. …”
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Parametric Updating of Steel Strand Stay Cable Force Calculation Model Based on Response Surface Method
Published 2023-01-01“…This method selects the central composite design in the response surface method. …”
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Modelling of Peripheral Wood Milling Power Using Design of Experiment Approach
Published 2024-01-01“…The model proved to be suitable, as the deviations between the measured and modelled power values are minimal.…”
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Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image
Published 2025-07-01“…Experimental results demonstrate that our method achieves an IoU of 89.8% and a precision of 90.2%, outperforming baseline models and showing strong generalizability across diverse remote sensing conditions.…”
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Development of a rational composition of a polyenzyme composition in the technology of bioscouring of cotton fabrics
Published 2024-09-01“…Based on the obtained models, graphic images of the dependence of the properties of cotton fabrics after bioscouring on the qualitative and quantitative composition of the multienzyme composition were constructed. …”
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Analysis on the Error Correction Method of 2m Temperature Hourly Forecast Based on CMA-GD Model
Published 2025-06-01“…The most significant meteorological component is temperature, and weather forecasting relies heavily on how accurately temperatures are predicted.This study uses a linear non-graded regression method to rectify the inaccuracies in temperature forecasts induced by terrain variation in the 2 m temperature hourly forecast product of the mesoscale numerical model (China Meteorological Administration Guangdong, CMA-GD), and use the one-dimensional Kalman filtering method and the double-weighted moving average method to correct the results.The accuracy of the hourly distribution exhibits a diurnal variation feature, and the model terrain height deviation is linearly negatively connected with the temperature error mean value, according to the results.The daytime correction impact is superior than the nighttime correction effect following the ungraded regression method.recorrecting using the best time frame for mathematical correction techniques (15 days for the Kalman method and 20 days for the mean method).It is discovered that the mean method's re-correction effect outperforms the Kalman methods, and that the correction effect is more pronounced during the day than at night.Summer and autumn have a better re-correction impact than winter and spring, with some negative correction effects in spring and little difference between the two techniques in the latter.In the former, the mean value method outperforms the Kalman method.There are eight stations with negative correction following the ungraded regression method, but no negative correction stations follow the mathematical correction methods.Therefore the northern region typically experiences a better corrective impact than the southern region.The fraction of correction magnitude for both MAE and ACC is positively correlated with a binomial connection.The terrain deviation correction method has the least slope and restricted correction effect, while the mean value approach has the best correlation and largest slope.An error assessment was conducted in the middle part of Poyang Lake Plain and the south Zhejiang-Fujian hilly region.The peak error value in the former was lower than that in the latter, and the correction amplitude at the peak was smaller.After correction, the MAE decreased by 25.1% and 19.8%, respectively.From November 2022 to January 2023, during frequent cold air intrusions, the MAE in the middle part of the Poyang Lake Plain decreased by 13.5%.With corrected forecast errors oscillating around the zero axis and a noticeable improvement in systematic positive errors, the model significantly overestimates the temperature forecast for high mountain areas.The temperature forecast errors oscillate with the smallest amplitude from August to October and the largest amplitude in spring and winter.Taking the warming process (May 1-6, 2022) and the strong cooling process (November 28-December 3, 2022) as examples, the corrected MAE decreased by 18.2% and 16.0%, respectively, indicating that the method has achieved stable correction effects during transitional weather.This composite method has good stability, strong forecast correction ability, easy to promote.…”
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