Prediction of Sound Insulation of Sandwich Partition Panels by Means of Artificial Neural Networks by Naveen GARG, Siddharth DHRUW, Laghu GANDHI

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Passenger Flow Prediction of Integrated Passenger Terminal Based on K-Means–GRNN by Yifan Tan, Haixu Liu, Yun Pu, Xuemei Wu, Yubo Jiao

“…In this paper, the passenger flow GRNN prediction model is proposed, based on the K-means cluster algorithm, and an improved index named BWPs (Between-Within Proportion-Similarity) is proposed to improve the clustering effect of K-means so that the clustering effect of the new index is verified. …”
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Electric Vehicle Charging Load Forecasting Based on K-Means++-GRU-KSVR by Renxue Shang, Yongjun Ma

“…To address this issue, this paper proposes a regional forecasting method based on K-means++ clustering and deep learning algorithms. …”
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Robotic constructor as a means of teaching C++ programming to high school students by Anton V. Eliseev

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High frequency radar error classification and prediction based on K-means methods by Zhaoyi Wang, Zhaoyi Wang, Marie Drevillon, Pierre De Mey-Frémaux, Elisabeth Remy, Nadia Ayoub, Dakui Wang, Bruno Levier

“…This study aims to characterize the high frequency radar and numerically simulated low-frequency filtered currents in the south-eastern Bay of Biscay (study area) using a K-means classification algorithm based on an improved Euclidean Distance calculation method that does not take missing values. …”
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Regularized K-Means Clustering via Fully Corrective Frank-Wolfe Optimization by Ahmed Yacoub Yousif, Basad Al-Sarray

“…The research presents a robust clustering system which combines the Fully Corrective Frank-Wolfe (FCFW) algorithm with k-means objective that uses Frobenius norm regularization. …”
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Development of biometric systems for passenger identification based on noise-resistant coding means by A. A. Gladkikh, A. K. Volkov, T. G. Ulasyuk

“…The problem to minimize memory amount for the permutation decoder cognitive map due to the permutation orbits allocation and usage of the generated loops combinations as pointers of reference plane is solved. The resulting algorithm for finding a unique orbit number and its corresponding reference plane by means of receiver formation of arbitrary parameters permutation from the set of permissible permutations is proposed.…”
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METHODS OF MATHEMATICAL STATISTICS AS A MEANS OF PROFESSIONAL COMPETENCE FORMATION OF STUDENTS-ECOLOGISTS by S. I. Toropova

“…Special requirements in modern conditions are imposed to the qualification and competence of environmental professionals: to possess the skills for independent collecting reliable ecological information and to be able to analyze it by means of rigorous mathematical calculations; to perform necessary measurements and calculations within observations and experiments; to choose and to competently realize an adequate algorithm or a mathematical method for the solution of a specific ecological task; to make evidence-based forecasts of changes of environmental conditions. …”
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Deep learning based automation of mean linear intercept quantification in COPD research by Lars Leyendecker, Anna Louisa Weltin, Florian Nienhaus, Michaela Matthey, Bastian Nießing, Daniela Wenzel, Daniela Wenzel, Robert H. Schmitt, Robert H. Schmitt

“…The extent of airspace enlargement that is characteristic for emphysema is quantified by manual assessment of the mean linear intercept (MLI) across multiple histological microscopy images. …”
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Computational Aspects of <i>L</i>₀ Linking in the Rasch Model by Alexander Robitzsch

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Wind power generation prediction using LSTM model optimized by sparrow search algorithm and firefly algorithm by Wenjing Zhang, Hongjing Yan, Lili Xiang, Linling Shao

“…To raise the accuracy of wind power generation prediction, a bidirectional long short-term memory network combination model based on sparrow search algorithm and firefly algorithm optimization is designed. …”
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Threshold Analysis of Request Degradation in the Computer Network by Vasilii P. Kirnos

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Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithm by Hongzhi Liu, Bojie Yang, Fang Kang, Qian Li, Hongyang Zhang

“…The experimental results show that the completeness of connection information extraction of substation secondary wiring drawings obtained by the proposed algorithm is between 98.56% and 99.98%, and the mean absolute error of intelligent recognition drawings connection relationship is always lower than 0.01. …”
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Multipath Estimation of Navigation Signals Based on Extended Kalman Filter–Genetic Algorithm Particle Filter Algorithm by Jie Li, Xiyan Sun, Yuanfa Ji, Jingjing Li, Long Li

“…The particle filter (PF) algorithm has found widespread application in navigation multipath estimation. …”
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A synthesis method for zero-sum mean-payoff asynchronous probabilistic games by Wei Zhao, Wanwei Liu, Zhiming Liu, Tiexin Wang

“…Next, two symbolic algorithms running in polynomial time are proposed to calculate the expected mean payoffs, and both algorithms adopt uniform random strategies. …”
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Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling by Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, Jesus Adolfo Cariño-Corrales, Roque A. Osornio-Rios, Juan Antonio Ortega-Redondo, Rene de J. Romero-Troncoso

“…The model tuning is performed by means of Genetic Algorithms along with a correlation based interval selection procedure. …”
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Self-Stabilization of Grid-Connected Inverters by Means of an Impedance-Based Adaptive Controller by Joel Filipe Guerreiro, Tiago Davi Curi Busarello, Hildo Guillardi, Igor Alves Maronni, Jose De A. Olimpio Filho, Helmo K. Morales Paredes, Jose A. Pomilio

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Secure K-Means Clustering Scheme for Confidential Data Based on Paillier Cryptosystem by Zhengqi Zhang, Zixin Xiong, Jun Ye

“…In this paper, we propose a secure homomorphic K-means clustering protocol based on the Paillier cryptosystem to address the urgent need for privacy-preserving clustering techniques in sensitive domains such as healthcare and finance. …”
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kMetha-Mamba: K-means clustering mamba for methane plumes segmentation by Yuquan Liu, Hailiang Shi, Ke Cao, Shichao Wu, Hanhan Ye, Xianhua Wang, Erchang Sun, Yunfei Han, Wei Xiong

“…However, traditional k-means clustering algorithms are susceptible to the influence of outliers. …”
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The Effect of Trade Liberalization on the Growth of Green GDP in Iran Using Gravitational Search Algorithm and the Algorithm Firefly by nahid pourfereidooni, hosein akbarifard, amin Amin Ghaseminezhad

“…In this study, to evaluate the impact of trade liberalization on green GDP, methods gravitational search algorithm and Firefly algorithm that has been used for some given time in the years 1961- 2015. …”
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