Mathematical model of the formation of the basic statistical sample for evaluating the level of the digital competence of lecturers by Svetlana V. Avilkina, Marina A. Bakuleva, Nadezhda P. Kleynosova

“…On the basis of the mathematical model the algorithm of analytical processing of statistical data on monitoring of digital competences is developed.…”
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Deep Learning-Based Network Security Data Sampling and Anomaly Prediction in Future Network by Lan Liu, Jun Lin, Pengcheng Wang, Langzhou Liu, Rongfu Zhou

“…Based on the design idea of future network, this paper analyzes the network security data sampling and anomaly prediction in future network. …”
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Optimization of a diagnostic algorithm for benign breast nodules by T. E. Usmanova, F. N. Il’chenko, A. S. Filatov, A. V. Kubyshkin

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Genetic Linear Averaging Algorithm for Zooming Digital Images by Baydaa Bahnam

“…In this paper, the hypernation of linear averaging algorithm for zooming images is achieved with genetic algorithm. …”
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Toeplitz Matrix Reconstruction Algorithm for Rectangular Hollow Array by Zihui Wei, Jingyi Zhou, Chenkai Dai, Lunsha Wang, Xiangjie Kong, Peng Dong

“…This algorithm ensures translation invariance of the rectangular array, enabling the application of the antimultipath coherent source algorithm to a rectangular hollow array. …”
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MSER Fast Skewed Scene-text Location Algorithm by ZHANG Kai-yu, SHAO Kang-yi, LU Di

“…Aiming at the problem that text localization requires a large number of training samples in natural scenes, which leads to low speed of algorithm running and it is difficult to locate skewed text, a fast natural scene skewed text localization algorithm based on maximally stable extremal regions (MSER) with hierarchical clustering is proposed . …”
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A Human Pose Estimation Algorithm with Scale Invariant by SUN Ruiyang, YANG Huixin, ZHAO Lanfei

“…Finally, optimized network is designed to reduce quantisation error caused by sampling. Experimental results conducted on the COCO dataset indicate that the proposed algorithm achieves an average accuracy of 79. 2% , which is higher than other algorithms. …”
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A comparison of various imputation algorithms for missing data. by Jürgen Kampf, Iryna Dykun, Tienush Rassaf, Amir Abbas Mahabadi

“…Among the remaining algorithms, in most situations we tested, predictive mean matching performed best.…”
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patter: Particle algorithms for animal tracking in R and Julia by Edward Lavender, Andreas Scheidegger, Carlo Albert, Stanisław W. Biber, Janine Illian, James Thorburn, Sophie Smout, Helen Moor

“…More generally, particle algorithms represent an individual's possible location probabilistically as a weighted series of samples (‘particles’). …”
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Optimization of the Weight Processing Algorithm in Multichannel Doppler Filtering by V. I. Koshelev, Ngoc Hieu Trinh

“…However, the implementation of multi-channel Doppler filtering (MDF) based on the classical fast Fourier transform (FFT) algorithm of non-equidistant signal samples in the signal detection problem is associated with energy losses. …”
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COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM by Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy

“…For clarity, we considered datasets with varying degrees of imbalance (the number of instances of the minority class was equal to 15, 30, 45, and 60% of the number of samples of the majority class). The following methods are used: analytical and inductive methods for determining the necessary set of experiments and building hypotheses regarding their results, experimental and graphic methods for obtaining a visual comparative characteristic of the selected algorithms. …”
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Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

“…Combined with the five-point sampling method, the average dry weight of sorghum spikes (0.12 kg) was used to enable rapid yield estimation. …”
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Bio inspired feature selection and graph learning for sepsis risk stratification by D. Siri, Raviteja Kocherla, Sudharshan Tumkunta, Pamula Udayaraju, Krishna Chaitanya Gogineni, Gowtham Mamidisetti, Nanditha Boddu

Subjects: “…Wolverine optimization algorithm…”
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Using Linear Interpolation to Reduce the Training Samples for Regression Based Visible Light Positioning System by Yu-Chun Wu, Ke-Ling Hsu, Yang Liu, Chong-You Hong, Chi-Wai Chow, Chien-Hung Yeh, Xin-Lan Liao, Kun-Hsien Lin, Yi-Yuan Chen

“…We put forward and experimentally demonstrate a second order machine-learning (ML) based visible-light-positioning (VLP) system using simple linear interpolation algorithm to reduce the training samples required in the ML algorithm. …”
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Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus amongst Non-expert Endoscopists by Vinay Sehgal, Avi Rosenfeld, David G. Graham, Gideon Lipman, Raf Bisschops, Krish Ragunath, Manuel Rodriguez-Justo, Marco Novelli, Matthew R. Banks, Rehan J. Haidry, Laurence B. Lovat

“…ML is able to define rules learnt from expert opinion. These generate a simple algorithm to accurately predict dysplasia. …”
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OＲB-feature Based Augmented Ｒeality under Complex Scenes by WANG Ai-li, HU Chang-yu, HAN Chuang

“…Based on the simultaneous localization and mapping and random sample consensus algorithm，this paper studies how to use instant space location algorithm to accurately calculate the spatial coordinates of camera external parameters and image sequence OＲB( oriented fast and rotated brief) feature point set. …”
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Replica exchange enhanced adaptively weighted stochastic gradient Langevin dynamics for Bayesian sampling and optimization by Zhenqing Wu, Wenwu Gong, Ziying Yu, Liuxin Zhu, Lili Yang

“…Abstract We propose the replica exchange adaptively weighted stochastic gradient Langevin dynamics (REAWSGLD) algorithm, designed explicitly for Bayesian learning with complex energy landscapes encountered in big data problems. …”
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REDUCTION OF TRAINING SAMPLES DIMENSION IN PATTERN RECOGNITION OF SPACE IMAGES USING PRINCIPAL COMPONENTS ANALYSIS by D. V. Pradun

“…Practical implementations of principal components analysis are described, which are based on QR-algorithm. Application of principal components analysis in space images classification for the reduction of training samples dimension is discussed.…”
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Sample Training Based Wildfire Segmentation by 2D Histogram θ-Division with Minimum Error by Jianhui Zhao, Erqian Dong, Mingui Sun, Wenyan Jia, Dengyi Zhang, Zhiyong Yuan

“…A novel wildfire segmentation algorithm is proposed with the help of sample training based 2D histogram θ-division and minimum error. …”
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Phase Error Criterion Based Adaptive Algorithm for Frequency Estimation by Prayuth Inban, Rachu Punchalard, Chawalit Benjangkaprasert

“…A simple phase error criterion (PEC-)-based adaptive algorithm for estimating the frequency of a complex sinusoidal signal in additive white Gaussian and impulsive noises is proposed. …”
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