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721
Gaussian Process with Vine Copula-Based Context Modeling for Contextual Multi-Armed Bandits
Published 2025-06-01“…Context vectors are generated using Gaussian and vine copulas to capture nonlinear dependencies, while arm-specific reward functions are modeled via GP regression with Beta-distributed targets. …”
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722
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723
OFDM Signal Processing and Analysis in the Presence of Noise Using Wavelet Transform for Temporal Synchronization
Published 2025-03-01“…A new method for OFDM signal processing in the presence of noise based on the octave harmonic wavelet transform is suggested. …”
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724
Aedes aegypti VLG-1 challenges the assumed antiviral nature of Vago genes
Published 2025-07-01“…Novel approaches to control the spread of arboviruses focus on harnessing the antiviral immune system of their primary vector, the Aedes aegypti mosquito. In arthropods, genes of the Vago family are often presented as analogs of mammalian cytokines with potential antiviral functions, but the role of Vago genes upon virus infection in Ae. aegypti is largely unknown. …”
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725
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726
Development of Quantitative Real-Time PCR Tests for the Identification of Biting Midge Species and Clades (Diptera: Ceratopogonidae) of the Obsoletus Group (Subgenus <i>Avaritia</i...
Published 2025-05-01“…Although extensive efforts have been made to clarify vector–pathogen relationships, one of the most important steps in this process—correct species identification—remains difficult, due to the presence of isomorphic species within the Obsoletus Group. …”
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727
Artificial Intelligence Based Determination of Cracks in Eggshell Using Sound Signals
Published 2022-06-01“…In this study, the egg crack detection was performed by using Support Vector Machines (SVM) and Artificial Neural Network (ANN). …”
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728
Effects of Donor x Inducer Interaction on the Success of Haploid Induction and Comparison of Haploid Seed Identification Methods in the In vivo Maternal Haploid Technique in Maize
Published 2022-09-01“…Eye separation, spectral measurements and image processing were used to identify seed classes. Data were modeled using support vector machine method and created models were evaluated over the complexity matrix. …”
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729
Fast-Switching SVR Weight Coefficient Design for the MPTC of Double Three-Phase PMSM
Published 2025-04-01“…Due to the lack of an explicit theory to guide the design of the weight coefficients, the weight coefficients can only be set through a large number of simulations and experiments in applications, and the tuning process is very cumbersome. Therefore, the support vector machine regression (SVR) method was used to improve the tedious calculation and tuning process of MPTC of DT-PMSM. …”
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730
The choice of tactics of treatment of patients at the endo periodontal defeats with primary defeat of the parodont and secondary involvement of the endodont
Published 2019-02-01“…In the main group the basic and supporting therapy of pathology of the parodont included processing the parodontalnykh of pockets the VectortmParo system. …”
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731
ML-Based Pain Recognition Model Using Mixup Data Augmentation
Published 2024-12-01Get full text
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732
Enhancing RAG Performance by Representing Hierarchical Nodes in Headers for Tabular Data
Published 2025-01-01“…This improvement is attributed to the utilization of table header representations, which allow for a more precise identification of hierarchical node-based headers during the table retrieval process. Furthermore, this study confirms that vector database achieves greater accuracy when employing a distributed table collection (DTC) structure than a unified context collection (UCC). …”
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733
A correlation study on EEG signals during visual concentration test and clinical evaluation in schizophrenia patients
Published 2025-08-01“…Methods Our research methodology encompasses a comprehensive system framework designed to analyze EEG signals with the Positive and Negative Syndrome Scale (PANSS) for correlation analysis. The process involves: (1) administering the PANSS test to create a database of schizophrenia patients; (2) developing a visual concentration test system that measures EEG signals in real-time; (3) processing these signals to construct an EEG feature database; (4) employing support vector machine and decision tree methods for illness severity classification; (5) conducting statistical analysis to correlate PANSS scores with EEG features, assessing the effectiveness of these correlations in clinical applications. …”
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734
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736
Transcriptome Analysis of <i>Culex pipiens quinquefasciatus</i> Larvae Exposed to a Semi-Lethal Dose of Vermistatin
Published 2025-01-01“…<i>Culex pipiens quinquefasciatus</i> is a notorious vector transmitting severe diseases such as Zika virus and West Nile virus to humans worldwide. …”
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737
RESEARCH ON GEARBOX FAULT DIAGNOSIS BASE ON ISOMAP AND IGA-SVM
Published 2016-01-01“…A method for optimizing support vector machine( SVM) parameters was proposed based on isometric feature mapping( Isomap) and improved genetic algorithm( IGA),to solve the problem that parameters are difficult to choose in the process of gearbox fault diagnosis and recognition. …”
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738
A Novel VNA-Enhanced Technique for Ka-Band Insertion Loss Measurement in Microstrip Lines
Published 2025-01-01“…A novel measurement technique has been developed to enhance the accuracy of insertion loss measurements using vector network analyzers (VNAs), addressing the challenge of data fluctuations — a critical factor in determining circuit bandwidth and ensuring high-frequency signal integrity. …”
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739
Test and Analysis of Eccentric Shaft based on Secondary Projection Method
Published 2017-01-01“…The projection data is processed to obtain the coordinate values of the center line end points of the eccentric axis in the spatial coordinate system,so as to further establish the true vector of the center line of each axis segment in space. …”
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740
Prediction of rock type from physical and mechanical properties by data mining implementations
Published 2025-05-01“…The physical and mechanical properties of the rocks were evaluated with different data mining algorithms, and the rock types were predicted 95.6% correctly with the model generated with the Support Vector Machine algorithm. Therefore, it is possible to predict rock types by data mining in extensive databases. …”
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