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961
Exploration of Machine Learning Models for Prediction of Gene Electrotransfer Treatment Outcomes
Published 2024-12-01“…In this work, we present ML predictive models that could be used to optimize pulsing parameters based on already completed experiments. The models were trained on 132 data points from 19 papers with the Matlab Statistics and Machine Learning Toolbox. …”
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962
IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning
Published 2023-06-01“…The results of studying the parameters of the spectra of speech signals by machine learning with the use of neural networks are presented. …”
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963
Validation of the Developed Psychoacoustic Model for Sound Quality Valuation of Washing Machines
Published 2025-04-01“…The measurement of the psychoacoustic parameters of these washing machines was carried out. …”
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964
Multiple Machine Learning as a Powerful Tool for Star Cluster Analysis
Published 2025-01-01“…This work proposes a multiple machine learning method (MMLM) aiming to improve the accuracy and robustness of the analysis of star clusters. …”
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965
Possibilities for Automatic Control of Hydro-Mechanical Transmission and Birotating Electric Machine
Published 2014-02-01“…The paper presents mathematical models and results of virtual investigations pertaining to the selected motion parameters of a mobile machine equipped with hydro mechanical and modernized transmissions. …”
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966
Tooth Contact Analysis of Straight Bevel Gears Machined with Concave Cutters
Published 2024-02-01“…It provides a theoretical basis for the determination of bevel gear machining parameters, tool parameters and the meshing quality control.…”
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967
An Improved Kernel Based Extreme Learning Machine for Robot Execution Failures
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968
Reliability process methodology of the centrifugal rotary machining in the medium of steel balls
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969
Combination of dynamic TOPMODEL and machine learning techniques to improve runoff prediction
Published 2025-03-01“…To encompass spatial discretization, diffusion‐wave characteristics, depth‐dependent flow velocity, and flux estimation in the unsaturated zone, a generalized dynamic TOPMODEL is developed by introducing a greater number of physical parameters. The present study aims to evaluate the optimal combination of these parameters within the dynamic TOPMODEL framework using machine learning techniques to improve the accuracy of runoff predictions and bolster the model's reliability. …”
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970
Features of video information processing in differential correlator of pilotless flying machine
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971
ASSESSMENT OF WORKING CONDITIONS AT WORKPLACES OF BOBBIN-DISK AND CYLINDER GRINDING MACHINES
Published 2011-10-01“…The working conditions at the workplace of the bobbin-disk and cylinder grinding woodworking machines are evaluated. The excess of the standard values of such occupational hazards as dust and noise parameters is stated. …”
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972
GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks
Published 2025-01-01“…In this work, we introduce GuardianML, an open-source recommendation system for selecting the correct parameters and suitable framework for specific use cases of privacy-preserving machine learning PPML. …”
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973
Reweighting simulated events using machine-learning techniques in the CMS experiment
Published 2025-05-01“…This article describes how machine-learning (ML) techniques are used to reweight simulated samples obtained with a given set of parameters to samples with different parameters or samples obtained from entirely different simulation programs. …”
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974
Quantification of MODIS Land Surface Temperature Downscaled by Machine Learning Algorithms
Published 2025-07-01“…This study presents a comprehensive evaluation of machine learning (ML)-based downscaling algorithms to enhance the spatial resolution of MODIS LST data from 960 m to 30 m, leveraging auxiliary variables including vegetation indices, terrain parameters, and land surface reflectance. …”
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975
Under-floor Fixed Lifting Machine for Urban Rail Transit Maintenance
Published 2013-01-01“…Taking maintenance of 6 sets for B type metro cars for instance, function, structure composition, technical parameters and technological innovation of metro vehicle under-floor fixed lifting machine were introduced. …”
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976
Surface engineering for enhanced wicking: The role of laser machining and surface roughness
Published 2024-12-01“…Microchannels were fabricated on a pre-laser-machined hydrophobic square on a silicon substrate, and their wicking performance, i.e., flow rate, water meniscus shape, and durability, was evaluated under various conditions, including different laser parameters, channel orientation, and engraving designs. …”
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977
Machine Learning and Explainable AI for Thai Basil Growth Prediction in Hydroponics
Published 2025-01-01“…Six machine learning (ML) models are employed to estimate the growth of Thai Basil. …”
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978
Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels
Published 2025-01-01“…This study presents a machine-learning-based model for predicting the performance of radiative cooling aerogels (RCAs). …”
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979
Machine Learning for Prediction of Relapses in Multiple Drug Resistant Tuberculosis Patients
Published 2021-11-01“…Сlinical, epidemiological, gender, sex, social, biomedical parameters and chemotherapy parameters were analyzed in 346 cured MDR TB patients. …”
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980
A Machine Learning Approach to Wireless Propagation Modeling in Industrial Environment
Published 2024-01-01“…The proposed model relies on a combination of predictive algorithms, including a linear regression model and a Multi-Layer Perceptron, working collaboratively to model the relationship between the considered propagation markers and input features like frequency and machine size, spacing, and density. Results are in fair overall agreement with previous studies and highlight some trends about the sensitivity of the propagation parameters to the considered input features.…”
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