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SAMPLING OF THE PLAN OF REPAIRS OF THE MAIN EQUIPMENT IN THE ELECTRICAL POWER SYSTEM
Published 2017-07-01Get full text
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An Analytical Computational Algorithm for Solving a System of Multipantograph DDEs Using Laplace Variational Iteration Algorithm
Published 2021-01-01“…In this research, an approximation symbolic algorithm is suggested to obtain an approximate solution of multipantograph system of type delay differential equations (DDEs) using a combination of Laplace transform and variational iteration algorithm (VIA). …”
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63
Model of electromagnetic field effect on biological tissues.
Published 2020-12-01“…During the research, experiments were carried out with three biological samples: adipose tissue, muscle tissue and skin. The dependences of the response amplitude in biological samples on the output signal power are plotted. …”
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Comparison of Doubling the Size of Image Algorithms
Published 2016-08-01“…The proposed correction method shows good results for simple interpolation algorithms. However, these improvements are insignificant for complex algorithms (17-point interpolation, Lanczos a=3). …”
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67
The recursive algorithm to construct Dirichlet function
Published 2019-06-01“…It is found out, that that required number of fractions is equal to the Dirichlet function value at the x point, and the original rule is proposed to construct it, which has a simple geometric interpretation. A proposed implementation of this algorithm shows its computational efficiency, and its importance is noted for problems requiring generation of relatively prime numbers.…”
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68
Comparative analysis of object tracking algorithms
Published 2025-03-01“…Two algorithms were selected for comparative analysis, one of which is the currently known open source ByteTrack tracker, and the other is a simple tracker based on the use of the neural network, correlation comparison together with Kalman filter. …”
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Algorithm for Realistic Modeling of Graphitic Systems
Published 2011-01-01“…Results of the use of the algorithm for a graphite sample are presented. The scalability of the algorithm depending on the system size and the number of processor cores involved in the calculations is analyzed.…”
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The open-closed mod-minimizer algorithm
Published 2025-03-01“…Abstract Sampling algorithms that deterministically select a subset of $$k$$ k -mers are an important building block in bioinformatics applications. …”
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Architecture and implementation of ulrb algorithm in R
Published 2025-12-01“…To solve this problem, we have proposed the utilization of unsupervised machine learning, through the ulrb (“Unsupervised Learning Definition of the Microbial Rare Biosphere”) algorithm, implemented as an R package (v0.1.8). This algorithm applies the partition around medoids (pam) algorithm to cluster taxa based on their abundance, in a community, for any number of samples. …”
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Integrating agent‐based models into the ensemble ecosystem modelling framework: A rewilding case study at the Knepp Estate, UK
Published 2025-01-01Subjects: Get full text
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73
Measuring cell for microwave properties studying of delta-doped diamond samples
Published 2015-06-01“…The method of measurement of microwave parameter of delta-doped diamond samples over a broad frequency range is offered. Nicholson-Ross's algorithm is the cornerstone of a method of measurement. …”
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Normalizing flow-assisted nested sampling on Type-II Seesaw model
Published 2025-07-01“…Abstract We propose a novel technique for sampling particle physics model parameter space. The main sampling method applied is nested sampling (NS), which is boosted by the application of multiple machine learning (ML) networks, e.g., self-normalizing network (SNN) and Normalizing Flow (specifically RealNVP). …”
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Estimation of S-parameters and dielectric permittivity of quartz ceramics samples in millimeter waveband
Published 2021-11-01“…The dependences of the amplitude and phase of the reflection and transmission coefficients on frequency were obtained experimentally for fluoroplastic and three ceramic samples in the frequency range 78.33–118.1 GHz. The obtained S-parameters are processed according to an algorithm that includes their averaging based on the Fourier transform in order to obtain the values of the dielectric permittivity. …”
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Demultiplexing and barcode-specific adaptive sampling for nanopore direct RNA sequencing
Published 2025-04-01“…WarpDemuX enhances speed and accuracy by fast processing of the raw nanopore signal, use of a light-weight machine-learning algorithm and design of optimized barcode sets. We demonstrate its utility by performing rapid phenotypic profiling of different SARS-CoV-2 viruses through multiplexed sequencing of longitudinal samples on a single flowcell, identifying systematic differences in transcript abundance and poly(A) tail lengths during infection. …”
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A Novel Two-Stage Learning-Based Phase Unwrapping Algorithm via Multimodel Fusion
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A Method of Sample Models of Program Construction in Terms of Petri Nets
Published 2015-08-01“…In the article a method of automated construction of Petri nets simulating the behaviour of imperative programs is considered from the formal point of view. Petri net samples with certain characteristics are necessary in programming new algorithms for program analysis; in particular, they can be used for developing or optimizing algorithms of Petri nets compositions and decompositions, building the reachability tree, checking invariants and so on. …”
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Transcriptome sequencing reveals significant RNA variation in human sperm samples
Published 2025-07-01“…Due to the inherently low RNA content in sperm, only 37 samples were successfully sequenced. Among these, 15 samples met high-quality standards with an RNA Integrity Number (RIN) greater than 6 and a 28 S/18S ratio greater than 0.7, while 22 samples had a RIN between 5 and 6 with a 28 S/18S ratio greater than 0.7. …”
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Learning by precedents based on the analysis of the features properties
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