ANALYSIS OF RADIO SIGNAL PARAMETERS FOR EMISSION SOURCE IDENTIFICATION by D. V. Arkhipenkov

“…The article deals with the classification of the main parameters of radioemission sources, provides a classification of the modulation types and the main its parameters. …”
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Principles and Algorithms of Neurotic Level Anxiety Disorders (Anxiety-phobic, Panic and Generalized Anxiety Disorder Psychopharmacological Treatment by T. A. Karavaeva, A. V. Vasileva, S. V. Poltorak, Y. P. Kolesova

“…The article considers modern evidence based approaches to the treatment of neurotic level anxiety disorders (social phobia, anxiety and panic disorders, generalized anxiety disorder). The main treatment issues for this category of patients are presented such as principles of differentiation, integration, complexity, integrity and short-temness).Specific psychopharmacological algorithms of each kind of anxiety disorder are elaborated on the main principles of eviedence based medicine.…”
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Influence of Genetic Algorithm Parameters on Their Performance for Parameter Identification of a Yeast Fed-batch Fermentation Process Model by Maria Angelova, Tania Pencheva

“…Eight single (SGA) and eight multi-population (MGA) genetic algorithms (GA) differing in the sequence of implementation of the main genetic operators’ selection, crossover and mutation, or omitting the mutation operator, have been examined for the purposes of parameter identification of a Saccharomyces cerevisiae fed-batch fermentation process model. …”
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A Parallel Support Vector Machine algorithm to identify patterns of pollution in Smart Cities for Metropolitan Zone of Guadalajara by Martha Patricia Martínez Vargas, Elsa Estrada Guzmán, Roció Maciel Arellano

“…As a result, we obtain two main subsystems: one of the Parameters of Configuration for the storage and cleaning of data and the design of the algorithm parallelized in the cloud importing modules mpi4py, numpy and sklearn.svm. …”
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Basic aspects of methodology for justifying the performance characteristics of a tracked machine with electromechanical transmission by V. N. Kuznetsova, R. V. Romanenko

“…The use of a caterpillar propeller as a base chassis has both advantages and disadvantages. One of the main problems is ensuring the mobility of tracked vehicles. …”
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A New Machine Learning Algorithm for Regional Low-Carbon Economic Development Analysis Based on Data Mining by Xinlei Liu

“…Secondly, based on the machine learning algorithm of data mining, the main mode selection of regional low-carbon economic development is discussed. …”
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Application of the JAYA Algorithm in Solving the Problem of the Optimal Coordination of Overcurrent Relays in Single- and Multi-Loop Distribution Systems by Abdul Wadood, Saeid Gholami Farkoush, Tahir Khurshaid, Jiang-Tao Yu, Chang-Hwan Kim, Sang-Bong Rhee

“…The results obtained from JAYA algorithm are compared with other evolutionary and up-to-date algorithms, and it was determined that JAYA outperforms the other techniques.…”
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An algorithm for selecting the parameters of a supercapacitor as part of an energy storage system of an electrical complex in case of voltage dips by Tokarev I.S., Shklyarsky Ya.E., Skvortsov I.V., Vasilkov O.S.

“…The paper considers the main methods of leveling voltage dips using both the software tools of the complex and the hardware. …”
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Analysis on the Multimedia Information Retrieval Algorithm Based on Enterprise Correlation Financial Analysis under the Background of Big Data by Jun Yan, Hui Liu

“…As a result, this paper examines the correlation of big data against the background of financial and multimedia information retrieval algorithms.…”
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Lower-Complexity Multi-Layered Security Partitioning Algorithm Based on Chaos Mapping-DWT Transform for WA/SNs by Tarek Srour, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Ahmed A. F. Youssef, Ali M. El-Rifaie

“…The main plaintext portion is ciphered in the series of cryptography to reduce the complexity and increase the security capabilities of the proposed algorithm by two chaos mappings. …”
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Review of Software Tools for Working with Evolutionary and Swarm Optimization Methods by Aleksei Nikolashkin, Nikolay Ershov

“…The concept of a population optimization algorithm is formalized and the main classes of algorithms of this type are considered, including evolutionary algorithms, swarm algorithms and multiparticle algorithms. …”
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Simultaneous Design of PSS Parameters and SVC Control System by VURPSO Algorithm in Order to Increase Stability of the Power System by Esmaeel Ghaedi, Ghazanfar Shahgholian, Rahmat Allah Hooshmand

“…In this paper, the multi-machine power system is simulated and in addition, VURPSO optimization algorithm is used to optimize the parameters of simultaneous controllers of Static Var Compensator (SVC) and power system stabilizer (PSS) in order that the power system stability increases. …”
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Optimization Tools for the Design of Meta-Covers for Linear Antenna with Beam- and Null-Steering Capabilities by Michela Longhi, Stefano Vellucci, Mirko Barbuto, Alessio Monti, Filiberto Bilotti, Alessandro Toscano

“…In particular, we develop a genetic algorithm-based optimization tool, which achieves precise manipulation of the main beam direction and null placement in the radiation pattern. …”
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Generation and Classification of Novel Segmented Control Charts (SCC) Based on Hu’s Invariant Moments and the K-Means Algorithm by Roberto Baeza-Serrato

“…Once the matrix is segmented, the seven main features of the matrix are extracted using the translation-, scale-, and rotation-invariant Hu moments of the segmented matrices. …”
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Research on the Route Pricing Optimization Model of the Car-Free Carrier Platform Based on the BP Neural Network Algorithm by Yu-Ang Du

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Optimal Placement of DG to Improve the Reliability of Distribution Systems Considering Time Varying Loads using Genetic Algorithm by Zahra Boor, Seyyed Mehdi Hosseini

“…This paper presents determination of optimum size and location of distributed generators (DGs) for reliability improvement of distribution systems in the presence of time varying loads using Genetic Algorithm (GA). The main innovation of this paper is considering of annual load duration curve for determination of size and location of DGs for reliability improvement. …”
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A Side Lobe Level Reduction Method Using Simulated Annealing Algorithm in a Uniform Arc Array by Song-Il KANG, Kyong-Sim U, Kyong-Chol CHOE, Yong-Kwang RI, Hyok-Il KYE

“…This paper presents a method to effectively reduce the side lobe level while minimizing the main lobe width increase. This is done using the simulated annealing algorithm (SAA) for a uniformly spaced arc array of omnidirectional underwater acoustic transducers, even at low signal-to-noise ratio (SNR). …”
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Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer by Xiaoqiang ZHAO, Shaoya REN, Yongzhi ZHAI, Heng QUAN, Ting YANG

“…It’s one of the main goals of the heterogeneous wireless sensor network (HWSN) to extend the network lifecycle by reasonably utilizing the heterogeneity of node energy.Therefore, according to the heterogeneity of node energy, a routing protocol (SA-MGWO) for HWSN based on simulated annealing (SA) algorithm and modified grey wolf optimizer (GWO) was proposed.Firstly, the appropriate initial clusters were selected by dening different tness functions for heterogeneous energy nodes.Secondly, The tness values of nodes were calculated and treated as initial weights in the GWO.At the same time, the weights were updated dynamically according to the distance between the wolves and their prey and coefficient vectors to improve the GWO’s optimization ability.Finally, simulated annealing algorithm was used to ensure the selection of optimal cluster set in heterogeneous networks.Compared with stable election protocol (SEP), distribute energy efficient clustering (DEEC), modified stable election protocol (M-SEP), and fitness value based improved grey wolf optimizer (FIGWO) protocols, the experimental results indicate that the network lifecycle of the SA-MGWO protocol improves by 53.1%, 31.9%, 46.5% and 27.0% respectively.…”
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A Simple Algorithm for Finding a Non-negative Basic Solution of a System of Linear Algebraic Equations by Gleb D. Stepanov

“…This article describes an algorithm for obtaining a non-negative basic solution of a system of linear algebraic equations. …”
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BP Neural Network Improved by Sparrow Search Algorithm in Predicting Debonding Strain of FRP-Strengthened RC Beams by Guibing Li, Tianyu Hu, Dawei Bai

“…The results show that the coefficient of variation of the present SSA-BP neural network model is 13%. The main factors affecting debonding strain are the longitudinal reinforcement ratio, stirrup reinforcement ratio, and concrete strength, which are not considered in the code models. …”
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