Business Model: Economic Value and Sociocultural Impact by G. D. Paksiutov

“…The impact of Netflix on the practice of consuming films in the digital age has been considered, noting that the automatic system of recommendations used by the service and algorithms of search optimization can pose a threat to the free choice of consumers. …”
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A network intrusion detection method designed for few-shot scenarios by Weichen HU, Congyuan XU, Yong ZHAN, Guanghui CHEN, Siqing LIU, Zhiqiang WANG, Xiaolin WANG

“…Existing intrusion detection techniques often require numerous malicious samples for model training.However, in real-world scenarios, only a small number of intrusion traffic samples can be obtained, which belong to few-shot scenarios.To address this challenge, a network intrusion detection method designed for few-shot scenarios was proposed.The method comprised two main parts: a packet sampling module and a meta-learning module.The packet sampling module was used for filtering, segmenting, and recombining raw network data, while the meta-learning module was used for feature extraction and result classification.Experimental results based on three few-shot datasets constructed from real network traffic data sources show that the method exhibits good applicability and fast convergence and effectively reduces the occurrence of outliers.In the case of 10 training samples, the maximum achievable detection rate is 99.29%, while the accuracy rate can reach a maximum of 97.93%.These findings demonstrate a noticeable improvement of 0.12% and 0.37% respectively, in comparison to existing algorithms.…”
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ICARUS at the Short-Baseline Neutrino Program: First Results by Maria Artero Pons

“…In 2021, ICARUS started its new operation at Fermilab, collecting a substantial amount of neutrino events from the Booster Neutrino Beam (BNB) and the neutrinos at the Main Injector (NuMI) beam off-axis. These were used to test the ICARUS event selection, reconstruction, and analysis algorithms. …”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…This study provides an in-depth review and comparison of diabetes prediction models using the Pima Indian Diabetes database. The main aim is to contrast and evaluate the performance of two distinct predictive models: K-means clustering and Random Forest. …”
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Determination of geometrical parameters of the diamond gear hones for the finishing of gears by Michael Storchak, Yuriy Danylchenko

“…To determine these parameters, a complex of software-implemented algorithms for their calculation has been developed. …”
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Traditional and Perspective Methods of Corporate Non-Performing Loans Rejustment (Liquidation) by V. M. Poletaeva, A. M. Smulov

“…In addition, the manuscript presents algorithms of mentioned perspective methods implementation. …”
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Technics and Contingency by Alan Díaz Alva

“…I will underscore the tensions between their proposals, trying to identify the main divergences within their speculative ontologies of computation. …”
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An SVDD-based post-processing approach for vibration risk assessment of the hydro-turbine-generator in a large hydropower station by Jinliang Zhang, Fengwei Yang, Chao Liang, Yuansheng Zhang, Yongchang Li

“…Recently, the abnormal vibration of hydro-turbine-generator in a large hydropower station occurred and the main influencing factors of vibration are analyzed based on the prototype data and engineering experience. …”
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Hypertension: smoking or quit. Clinical difficulties by N. V. Korneeva, E. S. Gavrilov

“…Smoking cessation is the main effective measure of primary and secondary prevention among smoking patients with HTN. …”
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DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States by Parnian Ghaneei, Hamid Moradkhani

“…This study focuses on estimating baseflow using deep learning algorithms that enhance the estimation capabilities in both gauged and ungauged basins. …”
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Non-classical mnemonic actors and new commemorative practices in the network space by I. S. Soldatenko

“…The article consists of an introduction, description of the main research results, and conclusion. The article concludes about the influence of algorithms of popular platforms on the formation of collective memory. …”
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Features of insulin therapy in combination of long-term type 1 diabetes mellitus and metabolic syndrome by M. D. Samsonova, N. P. Trubitsyna, A. S. Severina, M. S. Shamkhalova

“…Despite four options for algorithms and choice of insulin therapy, the difficult task of switching to the insulin resistance (IR) scheme due to the impossibility of using drugs from the biguanide and glitazone group, since their use in T1DM is not provided for by the instructions. …”
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Prepare Linear Distributions with Quantum Arithmetic Units by Junxu Li

“…There are three main steps. Firstly, Hadamard gates are applied to the two input terms, preparing them at quantum states corresponding to uniform distribution. …”
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Comparative Assessment of Neural Radiance Fields and 3D Gaussian Splatting for Point Cloud Generation from UAV Imagery by Muhammed Enes Atik

“…Point clouds continue to be the main data source in 3D modeling studies with unmanned aerial vehicle (UAV) images. …”
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Classical simulability of constant-depth linear-optical circuits with noise by Changhun Oh

“…Abstract Noise is one of the main obstacles to realizing quantum devices that achieve a quantum computational advantage. …”
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Diagnosis and peculiarities of the treatment of pacemaker-mediated tachycardia by О.І. Семенюк, М.С. Сороківський, У.П. Черняга-Ройко, О.Й. Жарінов

“…To prevent the occurrence of PMT, it is necessary to be familiar with the antitachycardia algorithms of various pacemaker models. It is primarily recommended to always activate the algorithms for automatic detection and elimination of PMT, which is usually sufficient for the proper functioning of the device. …”
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Diagnosis experience of traction engines of locomotives by Ngoulou-A-Ndzeli, V. Yu. Tetter, V. G. Shakhov

“…Authors propose a method and algorithms for the rapid diagnosis of locomotives traction engines based on duplication of main frequency channel by additional wavelet analysis and decision — making on the methodology of fuzzy logic. …”
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Investigating the Dynamic Change and Driving Force of Isolated Marsh Wetland in Sanjiang Plain, Northeast China by Shuangwei Zhang, Jiping Liu, Yanhui Chen, Wenhan Pei, Lihui Xuan, Yingpu Wang

“…Through field surveys, combined with visual interpretation and the Random Forest Algorithm, the distributional changes in isolated marsh wetlands, non-isolated marsh wetlands, and natural marsh wetlands in the Sanjiang Plain from 1975 to 2020 were identified and extracted. …”
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Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data by Zhaoxin Liu, Xiaolu Wang, Yufeng Bi, Jun Kong, Run Xu, Yuanpei Chen, Jinjun Tang

“…Firstly, we apply clustering algorithms and the principal component analysis method to extract main feature variables, which can achieve the purpose of dimensionality reduction and eliminate the complex collinearity among variables. …”
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Hierarchical Classification of Variable Stars Using Deep Convolutional Neural Networks by Mahdi Abdollahi, Nooshin Torabi, Sadegh Raeisi, Sohrab Rahvar

“…There have been many attempts to classify variable stars by traditional algorithms like Random Forest. In recent years, neural networks as classifiers have come to notice because of their lower computational cost compared to traditional algorithms. …”
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