Optimasi Fuzzy C-Means dan K-Means Menggunakan Algoritma Genetika untuk Pengklasteran Dataset Diabetic Retinopathy by Muhammad Ezar Al Rivan, Steven Steven, William Tanzil

“…Based on the comparison of Genetic Algorithm  Fuzzy C-Means and Genetic Algorithm K-Means iterations, it can be concluded that Genetic Algorithm Fuzzy C-Means has a better number of iteration than Genetic Algorithm K-Means. …”
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A Model Reference Adaptive Controller based Flamingo Search Algorithm for Liquid Level Control in Non-Linear Conical Tank System by Selvaraj S. P., Thiyagarajan R., Rajavenkatesan T

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THE MAIN CAUSES OF UNSATISFACTORY OUTCOMES OF TREATMENT FOR FOOT INJURIES by V. O. Kalensky, P. A. Ivanov

“…It is advisable to continue research to find the best algorithm for treatment in these cases.…”
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A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm by Amir Mohammad Haddadi, Hodjat Hamidi

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Application of Levenberg-Marquardt Backpropagation Algorithm in Artificial Neural Network for Self-Calibration of Deflection Type Wheatstone Bridge Circuit in CO Electrochemical Ga... by Amirhosein Asilian, S. Mohammadali Zanjani

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On Basic Requirements to Main Elements of Laser Correlation Spectrometer by E. N. Velichko, O. I. Kotov, E. K. Nepomnyashchaya, A. N. Petrov, A. V. Sokolov

“…Equations for calculating signal-to-noise ratio were given.Conclusion. The analysis of the main parameters of the elements of the laser correlation spectroscopic scheme were carried out. …”
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Federated k-means based on clusters backbone. by Zilong Deng, Yizhang Wang, Mustafa Muwafak Alobaedy

“…To address this issue, we propose a federated k-means clustering algorithm based on a cluster backbone called FKmeansCB. …”
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Advanced DFE, MLD, and RDE Equalization Techniques for Enhanced 5G mm-Wave A-RoF Performance at 60 GHz by Umar Farooq, Amalia Miliou

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Outlier detection method based on K-means by Liu Daojun, Liu Shuai, Zhang Yusong, Ou Sicheng

“…In this paper, an adaptive anomaly identification algorithm is designed. Specifically, it identifies numerous small clusters by K-means, and then counts the distribution probability of the number of objects in each cluster to generate a probability distribution graph. …”
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Dynamic Adaptive Cross-Domain Mean Approximation by LI Huimin, MA Jianwei, ZANG Shaofei, SONG Yanbing

“…Secondly, on the basis of dynamic CDMA, a dynamic adaptive cross-domain mean approximation (DA-CDMA) feature extraction algorithm is proposed to extract features that are invariant between domains in order to realize cross-domain migration of knowledge. …”
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Medium and short-term load forecasting based on NPMA-LSSVM algorithm in the case of unbalance and minority sample data by YANG Qiuyu, KUANG Shusen, ZHENG Xiaogang, YE Guoqi, ZHANG Zhongxin

“…In order to eliminate the features with repeated information, principal component analysis (PCA) is used to extract the main features of power load. Finally, the least square support vector machine (LSSVM) load forecasting model is established, and the improved mayfly algorithm with nonlinear inertia factor and polynomial variation is used to optimize the model parameters to achieve accurate load forecasts. …”
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Predicting the Color of Archaeological <i>Littorina obtusata/fabalis</i> Shells Using Raman Spectroscopy and Clustering Algorithms by Andrea Perez-Asensio, María Gabriela Fernández-Manteca, David Cuenca-Solana, Igor Gutiérrez-Zugasti, Asier García-Escárzaga, Jesús Mirapeix, José Miguel López-Higuera, Luis Rodríguez-Cobo, Adolfo Cobo

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Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South China Sea by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

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Adversarial Validation in Image Classification Datasets by Means of Cumulative Spectral Gradient by Diego Renza, Ernesto Moya-Albor, Adrian Chavarro

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Melody Feature Clustering and Optimization for Query-by-humming by WANG Ning, CHEN Chen, CHEN De-yun, HE Yong-jun

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Measuring and Rating Socioeconomic Disparities among Provinces: A Case of Türkiye by Emre Akusta

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Research on Equivalent Method of Bench Fatigue Tests for Main Reducers by Zou Xihong, Zhou Qing, Yuan Dongmei, Xiao Yukai, Zhou Yuting, He Ping

“…By collecting the actual driving load spectrum of users and the test site, the road condition and road load spectrum of the test site are reconstructed by using rain-flow counting and elite strategy non-dominated sorting genetic algorithm. In order to verify the effectiveness of the equivalent method, the finite element model of the main reducer is established and the static strength analysis is carried out to verify the mesh independence and model validity. …”
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Analysis of Customer Power Consumption Behavior Based on DPSO-Kmeans under the Ubiquitous Power Internet of Things by WANG Ying, XIANG Wen, ZHANG Qun, GAO Xiuyun

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Evaluating different strategies for machine learning training applied to flow forecasting based on clustering of flood events by Patrícia Cristina Steffen, Júlio Gomes, Eloy Kaviski, Daniel Henrique Marco Detzel

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AN OVERVIEW OF THE MAIN WAYS TO IMPROVE THE ADS-B SYSTEM SECURITY by V. V. Kosianchuk, N. I. Selvesiuk, R. R. Khammatov

“…Automatic dependent surveillance of broadcasting type (ADS-B) is an important means of ensuring the safety and efficiency of air traffic. …”
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