Robust Model Predictive Control for AFE-Inverter Drives With Common Mode Voltage Elimination by S.M. Muslem Uddin, Galina Mirzaeva, Graham C. Goodwin

“…This paper proposes a novel and robust version of Model Predictive Control scheme for AC drives based on Voltage Source Inverter (VSI) with Active Front End (AFE). The main feature of the proposed MPC is elimination of Common Mode Voltage (CMV) without imposing a penalty on the corresponding term in the cost function, but rather by a smart utilisation of the restricted set of switching states in a computationally efficient algorithm. …”
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An application of Bayes’ theorem to a problem of Cultural astronomy interest by Adriano Gaspani, Stefano Spagocci

“…Lunar and solar alignments are reported, among which we mention those at sunrise and sunset on the four main Celtic festivals. We found out that the site had two building phases. …”
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Approach for Intellectual Potential Analysis of the Scientific Institution by F. F. Yusifov

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ON PECULIARITIES OF BUILDING MATERIALS PROFITS TAX ENTERPRISES IN DIFFERENTIATED APPROACH by V. Dubkova

“…It is considered the results of research the problem of improvement of enterprise profit taxation, the ways of its solution and one of the main problems of the modern system of the enterprises taxation -connection with production efficiency. …”
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Trajectory Optimization for High-Speed and Long-Range Interceptor Based on Improved Adaptive hp Pseudospectral Method by Changxin Luo, Chijun Zhou, Jiong Li, Humin Lei

“…In order to shorten the solving time of the algorithm, the proposed method has two main improvements on the basis of the traditional hp pseudospectral method: on one hand, by judging the positions of the control sudden change points, prerefine the mesh around them according to certain rules. …”
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Research on image generation technology based on deep learning by Li Jinchen

“…In recent years, deep learning-based image generation technology has made significant progress. This paper mainly introduces two main methods: generating adversarial network (GAN) and variational autoencoder (VAE). …”
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A Rapid Penetration Trajectory Optimization Method for Hypersonic Vehicles by Binbin Yan, Ruifan Liu, Pei Dai, Muzeng Xing, Shuangxi Liu

“…How to avoid the disadvantage of low available overload and ensure follow-up tasks are the main concerns of the hypersonic penetration. This paper presents a penetration trajectory optimization algorithm for an air-breathing hypersonic vehicle, where the prerequisite penetration condition is analyzed and control costs are chosen as an objective function to minimize the fuel consumption and maneuver range. …”
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Tolerance Analysis of Antenna Array Pattern and Array Synthesis in the Presence of Excitation Errors by Ying Zhang, DanNi Zhao, Qiong Wang, ZhengBin Long, Xiaofeng Shen

“…The nonprobabilistic interval analysis algorithm is used for tolerance analysis of the nonideal uniform linear array in this work. …”
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BEHAVIORAL SEGMENTATION OF CUSTOMERS: RFM MODEL AND K-MEANS APPLICATION by Thanh L.T.P., Liaw S.-Y., Hien N.T.

“…Segmentation is one of the methods to help businesses build long-term relationships with customers. The main goal of this study is to propose a customer segmentation approach based on RFM (recency, frequency, and monetary) model and K-means algorithm, and then use the one-way ANOVA test to explore the difference in recency, frequency, and monetary attributes in customers of different ages. …”
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Multi-Disciplinary Optimization of UV-C Filter for Air Disinfection by Igor Carli, Carlo Poloni, Alberto Clarich, Rosario Russo

“…Because of the recent COVID-19 pandemic, the problem of preventing and containing the diffusion of pathogens spread through air has become a main topic of research. The problem is particularly important for specific environments, such as dental or other medical practices, where the aerosol treatments in open-mouth patients, combined with closed and crowded rooms, raise the risk of infection. …”
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Classification of taxes and fees as a method of systematization of environmental taxation in the russian federation by L. S. Samodelko

“…In this connection, the purpose of this work is to identify, on the basis of the current tax legislation of the Russian Federation, tax tools involved in the regulation of environmental processes. To solve one of the main tasks, namely, to form the theoretical foundations of the algorithm for monitoring and evaluating empirical data within the framework of the state’s tax policy, it is necessary to analyze scientific publications and synthesize knowledge of Russian and foreign practices in the field of environmental taxation. …”
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A metaheuristic to support the distribution of COVID-19 vaccines by Augusto José da Silva Rodrigues, Gabriel Lopes Lima

“…Effective analysis was obtained in the evaluation of the proposed algorithm, both in terms of computational effort and the quality of the final solution. …”
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IMAGE SEGMENTATION AND OBJECT SELECTION BASED ON MULTI-THRESHOLD PROCESSING by Vladimir Yu. Volkov, Oleg A. Markelov, Mikhail I. Bogachev

“…Although this is achieved at the cost of the resource-consuming multi-threshold analysis procedure for each processed image, this can be also partially compensated by the simplicity of the algorithm and its possible parallel implementation.…”
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Decentralized Control of a Group of Homogeneous Vehicles in Obstructed Environment by Vyacheslav Pshikhopov, Mikhail Medvedev, Alexander Kolesnikov, Roman Fedorenko, Boris Gurenko

“…There is no centralized control algorithm. In the local control algorithms the obstacles are represented as vehicles being a part of the group which allows us to unify the control systems for heterogeneous groups. …”
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A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis by Almas Begum, V. Dhilip Kumar, Junaid Asghar, D. Hemalatha, G. Arulkumaran

“…Deep learning methods proved to give better outcomes when correlated with ML and extricate the best highlights of the images. The main objective of this paper is to propose a deep learning technique in combination with a convolution neural network (CNN) and long short-term memory (LSTM) with a random forest algorithm to diagnose breast cancer. …”
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Multi-Objective Approach for Energy-Aware Workflow Scheduling in Cloud Computing Environments by Sonia Yassa, Rachid Chelouah, Hubert Kadima, Bertrand Granado

“…The main contribution of this study is to propose a new approach for multi-objective workflow scheduling in clouds, and present the hybrid PSO algorithm to optimize the scheduling performance. …”
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Spectral characterization of hierarchical network modularity and limits of modularity detection. by Somwrita Sarkar, James A Henderson, Peter A Robinson

“…The main results of the paper are a set of methods to address this problem. …”
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Development of Technological Options for the Use of Various Wastes as Alternative Energy Sources Based on Multicomponent Compositions of Solid Fuels by A. N. Pekhota, B. M. Khrustalev, V. P. Golubev, Thuy Nga Nguyen, Minh Phap Vu

“…Also presented are the main stages of the developed and applied technologies for briquetting and incineration of multicomponent mixtures based on various combustible waste. …”
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Immersive simulation of skydiving in wind tunnels: exploring virtual reality for training and experience enhancement by Ján Lacko

“…Inside-out tracking and color pass-through devices are used. The main limitations for the hardware were integration into the user’s safety helmet. …”
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Survivable Self-Organization for Prolonged Lifetime in Wireless Sensor Networks by Mohammad M. Hasan, Jason P. Jue

“…On the other hand, energy efficiency in WSNs remains the main concern to achieve a longer network lifetime. …”
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