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5121
Study on the Interactions Process of Coupled Model of Furrow Opener–Soil–Pot Seedling Based on Discrete Approach
Published 2025-05-01“…The coupled model provides technical support for the design and parameter optimization of rice planting equipment.…”
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5122
A genetic programming approach with adaptive region detection to skin cancer image classification
Published 2024-12-01“…In recent years, the development of computer vision and machine learning has provided new methods for assisted diagnosis. …”
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5123
STIMULATION OF REPARATION IN A LINEAR WOUND MODEL IN RATS BY BISCHOFIT GEL
Published 2019-03-01“…Actovegin showed less influence on this parameter (12.60 N), and the use of Contractubex led to its decrease (8.10 N). …”
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5124
Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach
Published 2024-10-01“…While integrating machine learning algorithms with spectral variables has improved LAI estimation over large areas, excessive input parameters can lead to data redundancy and reduced generalizability across different crop species. …”
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5125
Outcome measures of instrumented gait analysis in hereditary spastic paraplegia: a systematic review
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5126
Estimating Winter Wheat Canopy Chlorophyll Content Through the Integration of Unmanned Aerial Vehicle Spectral and Textural Insights
Published 2025-01-01“…Chlorophyll content is an essential parameter for evaluating the growth condition of winter wheat, and its accurate monitoring through remote sensing is of great significance for early warnings about winter wheat growth. …”
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5127
Prediction of geological and engineering integrated sweet spots of deep coalbed methane
Published 2025-06-01“…Based on the rock strength parameter, the enlargement rate of wellbore diameter, and the fracture toughness of rocks, a natural fissure index model was constructed. …”
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5128
Research on prediction of bottom hole flowing pressure for vertical coalbed methane wells based on improved SSA-BPNN
Published 2025-04-01“…Five routinely measured parameters that influence flowing bottom hole pressure were selected as the input parameters for the prediction model, with corresponding bottom hole pressure values as the output parameters. …”
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5129
Design of a Mechanized Road Sweeper
Published 2023“…The researcher, however, recommended that the fabrication of the machine needs to be done based on the individual part parameters developed in this thesis and performance testing of the machine to embrace the new technology for effective sweeping process.…”
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5131
An optimal federated learning-based intrusion detection for IoT environment
Published 2025-03-01“…However, these traditional procedures mainly focus on training the machine learning model through specific data and parameters. …”
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5132
基于VERICUT非圆齿轮磨齿虚拟加工研究
Published 2010-01-01“…The virtual noncircular gear grinding NC machine tool is set up in VERICUT.Based on the principle of noncircular gear grinding by forming grinder,the movement data is calculated and G-code is compiled.The machine tool model is built up in VERICUT,the qualified controller is choosed and the corresponding parameters is set.The simulation of noncircular gear grinding is carried out in VERICUT,and detailed analysis and discussion of the interference of virtual machining is given,and solutions is provied to these problems.Through this virtual machine tool,the correctness of the theory of noncircular gear grinding is verified and a reliable basis is provied for the actual machining.…”
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5133
Analysis of features of implementing a “Port scanning” attack using a “Zombie” computer
Published 2024-07-01“…Theoretical aspects related to the implementation of a “port scanning” attack using a “zombie” computer are analyzed. The parameters by which a “zombie” machine is selected on the network are indicated. …”
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5134
Theoretical studies results for a mathematical model of a road roller turn
Published 2022-06-01“…As a result of the developed mathematical model, a program code was built in the MATLAB software product, which formed the basis of theoretical studies that made it possible to fully study the influence of the design and operational parameters of the machine on the motion trajectory and positioning accuracy.Results. …”
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5135
MODEL AND EXPERIMENT OF THE HYSTERIS CHARACTERISTICS ON MAGNETORHEOLOGICAL DAMPING LATHE TOOL
Published 2016-01-01“…Based on the theory of nonlinear hysteresis and combined with the data decomposition and parameter identification,the nonlinear elastic force、damping parameter、the hysteresis stiffness and hysteretic restoration force are calculated. …”
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5136
THE ENERGY MINIMIZATION AND THE COST REQUIREMENTS FOR THE POTATO RESIDUES REPROCESSING
Published 2016-01-01“…To optimize the operating parameters of the performance of farm residues it was used the cutting machine and it was established the minimum cost, power and energy requirements for produce animal feed raw materials from potato haulme. …”
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5137
Methodology of Using CAx and Digital Twin Methods in the Development of a Multifunctional Portal Centre in Its Pre-Production Phase
Published 2025-03-01“…The aforementioned methodology was used to obtain and verify the final dimensions of the developed machine centre, which were the expected results. The proposed dimensions were verified in this way in terms of the mechanical properties of the designed machine (stiffness, strength, and modal properties), in terms of the suitability for machining the specific part, and in terms of the moved masses and drive parameters.…”
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5138
Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction
Published 2025-01-01“…Compared with traditional support vector machine, BP neural network, KNN and naive Bayes, the improved support vector machine has a higher prediction accuracy, and the average error is only 2.7%. …”
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5139
A Next-generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTRANS): Comparative Characterization for WASP-39 b Using JWST NIRISS, NIRSpec PRISM,...
Published 2025-01-01“…Accurate analysis of these data sets requires advanced retrieval frameworks capable of navigating complex parameter spaces. We present NEXOTRANS , an atmospheric retrieval framework that integrates Bayesian inference using UltraNest / PyMultiNest with four machine learning algorithms: Random Forest , Gradient Boosting , K-Nearest Neighbor , and Stacking Regressor . …”
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Preoperatively-determined Red Distribution Width (RDW) predicts prolonged length of stay after single-level spinal fusion in elderly patients
Published 2024-01-01“…The Red Distribution Width (RDW) is a preoperative routinely determined parameter that reflects the degree of heterogeneity of red blood cells. …”
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