A Semi-Supervised Machine Learning Approach Using K-Means Algorithm to Prevent Burst Header Packet Flooding Attack in Optical Burst Switching Network by Patwary et al.

Subjects: “…Burst Header Packet Flooding Attack, K-Means Algorithm, Machine Learning, Optical Burst Switching Network, Semi-supervised Learning.…”
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Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations by Ge Cao, Yifeng Dang, Shaoxiong Guo, Yan Liang, Rong Jia

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FORMATION OF FUND OF ESTIMATED MEANS WHEN STUDYING NATIONAL HISTORY BY MEANS OF THE INFORMATIVE AND ACTIVE MATRIX by Tamara B. Tarabrina, Olga B. Voloshina

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Analysis of College Students’ Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm by Xiang Meng, Qi He, Yanhua Dong, Hongyu Sun

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KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN by Jingting Xu, Hua Qu, Jihong Zhao

“…N+1 redundancy backup model was applied to controller placement problem in SDN in order to solve single node failure problem and to improve system reliability with taking system cost and latency into consideration，and the problem was abstracted as a multi-objective optimization problem. Meanwhile，an algorithm called KMOBPSO was proposed to calculate the result of high-reliability controller placement in SDN merged with K-means clustering algorithm and genetic operators. …”
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Machine Learning Algorithm for Assessing Photovoltaic Panels Partial Shading Losses based on Inverter Data by Armando Luís Sousa Araujo, Tiago Francisco Pires

“…Experimental data from both models are presented, with the K-means model achieving a closer approximation to the reference values. …”
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Sports data analysis of track and field athletes based on IID-OPK and NonIID-OPK algorithms by Xiaofeng Chen

Subjects: “…K-means algorithm…”
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Research on corrosion defect identification and risk assessment of well control equipment based on a machine learning algorithm by He Zhang, Jiangna Cao, Haibo Liang, Gang Cheng

“…The experimental results show that the improved algorithm has high accuracy in identifying the corrosion type of well control pipeline, and the calculation speed is better than other algorithms described in this paper.…”
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Main factors in the transformation of regional and ethnic identity by T. I. Gerasimenko

“…Gumilyov regarding the adaptation of ethnic groups to landscapes, as well as to apply an analysis algorithm based on the study of various forms of interethnic contacts and ethnic processes. …”
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Using Methods of Intellectual Analysis to Step up Profitability of Network Business by N. P. Savina, N. A. Galstyan, O. V. Litvishko, E. A. Zakrevskaya

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A Mold Damage Monitoring Algorithm for Power Metallurgy Molding Machines Using Bidirectional Long Short-Term Memory on an Internet of Things Platform by Hao-Pu Lin, Yuan-Chieh Chen, Chin-Chuan Han, Yu-Chi Wu, Jin-Yuan Lin

“…In this paper, an analysis and monitoring algorithm is proposed for mold health evaluation using vibration data. …”
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Comparative characteristics of the main phenotypes of systemic sclerosis by R. U. Shayakhmetova, L. P. Ananyeva, M. N. Starovoitova, O. V. Desinova, O. A. Koneva, O. B. Ovsyannikova, L. A. Garzanova, M. V. Cherkasova, R. T. Alekperov

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Learning path planning methods based on learning path variability and ant colony optimization by Jing Zhao, Haitao Mao, Panpan Mao, Junyong Hao

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Kohonen’s algorithm in problems of classification of defects in printed circuit assemblies by S. U. Uvaysov, V. V. Chernoverskaya, An Kuan Dao, Van Tuan Nguyen

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An Enhanced Interval Type-2 Fuzzy C-Means Algorithm for Fuzzy Time Series Forecasting of Vegetation Dynamics: A Case Study from the Aksu Region, Xinjiang, China by Yongqi Chen, Li Liu, Jinhua Cao, Kexin Wang, Shengyang Li, Yue Yin

“…Fuzzy time series (FTS) prediction models based on the Fuzzy C-Means (FCM) clustering algorithm address some of these uncertainties by enabling soft partitioning through membership functions. …”
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SEMANTICS AND MEANING OF TERMS WITH THE COMPONENT ’RED’ by Velislava Stoykova

“…The theoretical approach of the study involves tracing the semantics and meanings of terms for the color red and terms with the component red using both traditional approaches such as the theory of nomination (by detection of the main semantic component), and modern theories, such as the theory of prototypes (by evaluation of color’s prototypes) in the analysis of the semantics of these terms. …”
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Means and Issues for Adjusting Principal Component Analysis Results by Tomokazu Konishi

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Algorithm of the Investigator's and Body of Inquiry's Actions in Investigation of Cellular Frauds by Leila Y. Aksenova

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Enhanced Butterfly Optimization and Deep Learning Algorithm for Student Placement Prediction by T. Kavi Priya, N. Kumar

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Direction-of-arrival estimation performance analysis of the rank reduction estimator in the presence of finite samples by Ding WANG, Hui YAO, Ying WU

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