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921
USING DATABASES TO DESIGN BEARINGS EMPLOYED IN THE CONSTRUCTION OF MECHANISMS
Published 2018-05-01“…Designing the knowledge database of an expert system is a difficult task that requires a close cooperation between a human expert and the knowledge engineer. …”
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922
Transverse cracking in glass fibre-reinforced composites monitored with synchrotron X-ray multi-projection imaging
Published 2025-02-01“… The first damage mechanism in composites in tension is transverse cracking, which is here studied in 3D at a kHz rate, using time-resolved X-ray multi-projection imaging. …”
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923
Interpretability Study on the Fault Diagnosis Model of the Heat pipe/ Vapor Compression Composite Air Conditioning System
Published 2025-01-01“…This study develops a composite fault diagnosis model based on typical machine learning algorithms, compares the diagnostic performance of different models, and finally conducts interpretability research on the diagnostic models using the SHAP method. …”
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924
3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology
Published 2025-02-01“…Abstract Body composition prediction from 3D optical imagery has previously been studied with linear algorithms. …”
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925
Multi-Level Thresholding Based on Composite Local Contour Shannon Entropy Under Multiscale Multiplication Transform
Published 2025-05-01“…Existing approaches predominantly rely on metaheuristic optimization algorithms, which frequently encounter local optima stagnation and require extensive parameter tuning, thereby degrading segmentation accuracy and computational efficiency. …”
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926
Single-Sensor Impact Source Localization Method for Anisotropic Glass Fiber Composite Wind Turbine Blades
Published 2025-07-01Get full text
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927
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928
Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach
Published 2025-07-01“…This research examines the mechanical characteristics of polymer composites (PMMA) that are reinforced with Hydroxyapatite (HAp), with a particular emphasis on the Elastic Modulus and Compressive Strength. …”
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929
Optimising 3D-printed carbon fibre composites using machine learning: Balancing strength and efficiency
Published 2025-08-01“…Additive manufacturing (AM) of fibre-reinforced composites offers design freedom but necessitates a trade-off between mechanical performance and production speed. …”
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930
Deriving household composition using population-scale electronic health record data-A reproducible methodology.
Published 2021-01-01“…<h4>Results</h4>Two relative age-based algorithms were developed and returned similar results when applied to population and household-level data, describing household composition for 3.1 million individuals within 1.2 million households in Wales. …”
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931
Assessing CO2 separation performances of IL/ZIF-8 composites using molecular features of ILs
Published 2025-03-01“…In this study, we developed a comprehensive computational approach integrating Conductor-like Screening Model for Realistic Solvents (COSMO-RS) calculations, density functional theory (DFT) calculations, Grand Canonical Monte Carlo (GCMC) simulations, and machine learning (ML) algorithms to evaluate a wide variety of IL-incorporated ZIF-8 composites for CO2 separations. …”
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932
Gut microbiome composition changes in obstructive sleep apnoea syndrome also in relation to excessive daytime sleepiness
Published 2025-03-01“…Faecal samples were collected and compared between patients and healthy controls. Composition, community diversity, differences in taxa abundance profiles and sample dysbiosis were evaluated through 16S metagenomics and multiple bioinformatics algorithms. …”
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933
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934
The Algorithm for Preparing a Set of Data for Teaching Neural Networks on the Example of the Task to Analyze the Radiological Images of Lungs
Published 2023-03-01“…The influence of the stages (marking of images, normalization of data, determining the dynamic image range, the composition of the training sample) of the algorithm for the learning result is evaluated. …”
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935
Multiobjective optimization of dielectric, thermal, and mechanical properties of inorganic glasses utilizing explainable machine learning and genetic algorithm
Published 2025-06-01“…Boron anomaly shifts the high‐λ region to a balanced composition of alkali metals with rising B%. The multiobjective optimization of properties was realized using a genetic algorithm framework. …”
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936
Optimal operation of multiple integrated energy systems based on a hybrid Taguchi‐compact salp swarm algorithm
Published 2023-10-01“…Hence, this paper proposes a hybrid Taguchi‐compact salp swarm algorithm (TCSSA). The compact technique can save the operation memory of model. …”
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937
Price Algorithms as a Threat to Competition Under the Conditions of Digital Economy: Approaches to Antimonopoly Legislation of BRICS Countries
Published 2020-05-01“…The paper proves that within the framework of interstate cooperation of the BRICS countries in the field of competition law, it is necessary to develop common approaches to antitrust regulation in the digital economy, including to ensure auniform approach to regulating and controlling the use of price algorithms by enterprises in the framework of economic activity.…”
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938
Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks
Published 2025-08-01“…In this paper, a coverage path planning strategy using hybrid Golden Jackal and moth flame optimization algorithm (HGJMFOA) is proposed for estimating superior optimal paths that supports the UAVs towards the process of comprehensively covering the generated regions with efficacy. …”
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939
Model-Driven Clock Synchronization Algorithms for Random Loss of GNSS Time Signals in V2X Communications
Published 2025-06-01“…An optimized Kalman-filter-based time compensation algorithm is then devised to compensate for time errors during PPS signal loss. …”
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940
Quality Evaluation Method for Base Baijiu Based on Support Vector Machine Optimized by Genetic and Bootstrap Aggregating Algorithm
Published 2025-03-01“…The chemical composition of base baijiu is complex and diverse. A classification model for base baijiu of different sensory grades was established based on the gas chromatography-mass spectrometric (GC-MS) data for their volatile composition. …”
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