Parameter Estimation for Three-Phase Induction Motor Based on Performance Curves and Differential Evolution by Marcelo F. Castoldi, Gustavo Henrique Bazan, Wesley A. Souza, Clayton L. Graciola, Rafael M. Silva, Alessandro Goedtel

“…Existing approaches predominantly focus on online estimation, which is based on continuous data acquisition and may be impractical in industrial environments with limited hardware resources. …”
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Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments by Amin Wen, Tonghua Wu, Xiaofan Zhu, Jie Chen, Jianzong Shi, Peiqing Lou, Dong Wang, Xin Ma, Xiaodong Wu

“…This work provides a valuable method that may propel future pan-Arctic studies of trough mapping.…”
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Syntactic Representation of predicational copular clauses in Persian Language by Maryam Khamse Ashari, Rezvan Motavallian

“…Chomsky proposes the labeling algorithm in (1). (1) Labeling Algorithm (LA) A constructed syntactic object takes the 'label' of the nearest head by minimal search. …”
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Survey of controller placement problem in software defined network by Xian-ming GAO, Bao-sheng WANG, Wen-ping DENG, Jing TAO

“…In order to change situation of high management complexity in current Internet,software defined network (SDN) was proposed,which mainly aimed to directly control forwarding behaviors of data-flow by using flow strategies generated by controllers.With the deployment and applications of SDN,research communities found that the controller placement in SDN network could directly affect network performance.In recent years,controller placement problem (CPP) has become a hot topic,where performance metric and searching algorithms are important research areas.Based on current researches,the existing controller placement problem was systematically analyzed and summarized,which was expected to be helpful for the follow-up research.…”
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EM-based blind LDPC identification in multipath channels by Yu LIU, Fanggang WANG, Jingwen ZHANG, Bo AI, Zhangdui ZHONG

“…As the advent of cognitive radios,blind encoder identification has attracted increasingly attentions since it plays an important role.The existing works mainly focus on additive white Gaussian noise (AWGN) channel,while the blind identification in multipath scenarios has not been sufficiently investigated.Considering the blind low density parity-check (LDPC) codes identification in the presence of unknown multipath fading channel,a likelihood-based classifier was proposed using the expectation maximization (EM) algorithm to obtain the maximum likelihood estimates of the unknown parameters.Then,an average log-likelihood ratio (LLR) estimator was adopted to classify the unknown encoder.Numerical results show that the proposed algorithm provides promising identification performance in multipath channels,especially in the low signal-to-noise ratio region.…”
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Considering the Structure of Scientific and Cognitive Activity at Different Levels of Continuing Education by A. A. Frolov, Y. N. Frolova, I. A. Chernyayev

“…The changes of educational status appear to depend mainly on intuition and personal expertise which contradicts the declared organizational principles of scientific and educational activities. …”
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Charge and discharge scheduling method for large-scale electric vehicles in V2G mode via MLGCSO by Songling Pang, Kaidi Fan, Meiyi Huo

“…Abstract This paper addresses the challenge of charging and discharging scheduling for large-scale electric vehicles (EVs) in the Vehicle-to-Grid (V2G) mode by proposing a user-oriented scheduling algorithm. First, a large-scale EV charging and discharging scheduling model grounded in the V2G mode is developed, where the objective function mainly focuses on the load variance at the user side and the charging and discharging costs for EV owners, and constraints such as the available time of EVs, charging and discharging power limits, available state of charge values, and upper and lower bounds of real-time prices are incorporated to make the model more applicable to practical engineering scenarios. …”
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Cost-aware cloud workflow scheduling using DRL and simulated annealing by Yan Gu, Feng Cheng, Lijie Yang, Junhui Xu, Xiaomin Chen, Long Cheng

“…While several scheduling algorithms have been proposed in recent years, they are mainly designed to handle batch tasks and not well-suited for real-time workloads. …”
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Digital Architectural Form Generation Through Pixel System-Driven Image Feature Information by Hee-Sung An, You-Chang Jeon, Sung-Wook Kim

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RSA modulus length regression prediction based on the Run Test and machine learning in the ciphertext-only scenarios by Ke Yuan, Chenmeng Zhao, Longwei Yang, Hanlin Sun, Sufang Zhou, Chunfu Jia

“…Abstract RSA is a classical public key cryptographic algorithm, over 40 years of widespread use has proven that its security is reliable when the key parameters are properly configured. …”
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Comparison of stromal vascular fraction cell composition between Coleman fat and extracellular matrix/stromal vascular fraction gel by Xiaoyun Li, Guohong Zhang, Mengmeng Wang, Changhao Lu, Guangping Zhang, Zhehui Chen, Yingchang Ji

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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

“…The ACAD-BMDL method mainly focuses on enhancing security in the CPS environment via the cyberattack detection process. …”
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Landslide susceptibility evaluation and determination of critical influencing factors in eastern Sichuan mountainous area, China by Lin Zhang, Zhengxi Guo, Shi Qi, Tianheng Zhao, Bingchen Wu, Peng Li

“…Furthermore, we employed SHAP algorithm and Structural Equation Models to quantify the relative importance and explanatory power of these factors on shallow landslide susceptibility and to clarify the interaction mechanisms among various factors in Huaying Mountain. …”
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Optimization of the Inorganic Salts in Coenzyme Q₁₀ Fermentation Medium of <i>Rhodobacter sphaeroides</i> Based on Uniform Design and Artificial Neural Network and Genet... by Yi Zheng, Yujun Xiao, Shuling Tang, Junpeng Li, Yingzi Wu, Yong Zhou

“…Uniform design (UD), artificial neural network (ANN), and genetic algorithm (GA) are the main research methods. Through uniform design (UD) and artificial neural network/genetic algorithm (ANN-GA) progressive optimization, an optimal formulation of the inorganic salts in fermentation medium was obtained (g·L⁻¹): MgSO₄ 12, NaCl 2.5, FeSO₄ 1.6, KH₂PO₄ 0.8, MnSO₄ 0.1, CaCl₂ 0.1. …”
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Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor-Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural... by Mohsen Shanbeh, Hossein Hasani, Somayeh Akhavan Tabatabaei

“…One of the main methods to reduce the production costs is waste recycling which is the most important challenge for the future. …”
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Ensemble intelligence prediction algorithms and land use scenarios to measure carbon emissions of the Yangtze River Delta: A machine learning model based on Long Short-Term Memory. by Qi Dai, Xiao-Yan Liu, Fang-Yi Sun, Fang-Rong Ren

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Research on the relationship between virtual social interaction and the degree of loneliness based on algorithm matching technologies: A quantitative analysis on the SOUL APP-A vir... by Linsha Liu

“…This study examines the relationship between virtual social interaction and people's social behaviors and psychology using algorithm matching technologies and questionnaire surveys. …”
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Methods of Developing Strategies for Municipalities by Yu. N. Lapygin, D. V. Tulinova

“…The article is devoted to the procedures for constructing a strategy for the development of municipalities in the Russian Federation, both in terms of considering the formation of approaches to shaping the prospects for possible changes, and with respect to methods that allow us to determine the future on the basis of a set of strategically significant goals that are formed based on the results of constructing the target configurator.The goal is to compare different points of view on the organization of methodological support for the process of formulating the strategy itself and determining its main content and, as a result, to show the author’s version of the algorithm for constructing the strategy slogan and filling it with the content of strategic projects and programs.Methods for constructing mental maps were used, including the tools for analyzing the situation, forming a hierarchy of strategic goals, and determining the main content of the strategy for the development of the municipal formation.It is shown that in the scientific literature the controversy continues about the algorithms, methods, models and tools for the development of the strategy for the development of municipalities, and universal methods for developing strategies have not been worked out.The structure of strategic goals is determined as a result of the analysis of the factors of the external and internal environment, as a result of the analysis of the existing strategy of the municipal entity (legal or illegal), as the concretization of the Vision and the Mission. and also as an orientation to the reference variants of goal-setting in the municipality. …”
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Integrated Reliability Assessment and Optimal Reconfiguration of Islanded Microgrids Under Load Growth Using Fick&#x2019;s Law Optimization Algorithm and Long Short-Term Memory Tec... by Hieu M. Pham, Duy C. Huynh, Loc D. Ho, Matthew W. Dunnigan, Corina Barbalata

“…To address the complex, mixed-variable nature of the reconfiguration problem, the Fick&#x2019;s Law Optimization (FLO) algorithm is proposed. The FLO algorithm is compared with other metaheuristic algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) algorithm, Non-dominated Sorting Genetic Algorithm II (NSGA-II), Artificial Bee Colony (ABC) algorithm, Grey Wolf Optimizer (GWO) algorithm, Equilibrium Optimizer (EO) algorithm, Runge-Kutta Optimizer (RUN) algorithm, and Honey Badger Algorithms (HBA) demonstrating superior performance in convergence speed, exploration&#x2013;exploitation balance, and global optimality. …”
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Frequency Limited &#x0026; Weighted Model Reduction Algorithm With Error Bound: Application to Discrete-Time Doubly Fed Induction Generator Based Wind Turbines for Power System by Sajid Bashir, Sammana Batool, Muhammad Imran, Mian Ilyas Ahmad, Fahad Mumtaz Malik, Muhammad Salman, Abdul Wakeel, Usman Ali

“…The proposed work produces steady and precise outcomes in contrast to conventional reduction methods, which shows the efficacy of the proposed algorithm.…”
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