Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm by Pedro Torres-Bermeo, José Varela-Aldás, Kevin López-Eugenio, Nancy Velasco, Guillermo Palacios-Navarro

Get full text

Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique by Rafael F. Pinheiro, Maria P. Guarino, Marlene Lages, Rui Fonseca-Pinto

“…In the search for methods to support early diagnosis, this article introduces a novel prediabetes risk classification algorithm (PRCA) for type-2 diabetes mellitus (T2DM), utilizing the chemosensitivity of carotid bodies (CB) and K-means clustering technique from the field of machine learning. …”
Get full text

Implementation of the K-Means Algorithm for Customer Churn Segmentation in Developing Bank Marketing Strategies by Reva Nur Rahmadiana, Dinda Lestarini

“…This study aims to segment customers based on characteristics that influence their churn risk using the K-Means algorithm. The data used in this research is secondary data consisting of 9,763 customer records from a bank customer churn dataset obtained via the Kaggle platform. …”
Get full text

Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…The results show that the machine learning based on K-means algorithm makes a concrete analysis of the investment efficiency of Capricorn Smart Investment, this method can also be used for the efficiency analysis of other smart investment products.…”
Get full text

Logarithmic mean optimization a metaheuristic algorithm for global and case specific energy optimization by Idriss Dagal, Ambe Harrison, Wulfran Fendzi Mbasso, Fritz Nguemo Kemdoum, Mohammad Khishe, Pradeep Jangir, Aseel Smerat, Saad F. Al-Gahtani, Z. M.S. Elbarbary, Emmanuel Fendzi Donfack, Hassan Abouobaida

“…Abstract This study introduces a novel metaheuristic optimization algorithm named Logarithmic Mean-Based Optimization (LMO), designed to enhance convergence speed and global optimality in complex energy optimization problems. …”
Get full text

An Improved Proportionate Normalized Least-Mean-Square Algorithm for Broadband Multipath Channel Estimation by Yingsong Li, Masanori Hamamura

“…To make use of the sparsity property of broadband multipath wireless communication channels, we mathematically propose an lp-norm-constrained proportionate normalized least-mean-square (LP-PNLMS) sparse channel estimation algorithm. …”
Get full text

Improving the Quality of Reshaped EoL Components by Means of Accurate Metamodels and Evolutionary Algorithms by Antonio Piccininni, Angela Cusanno, Gianfranco Palumbo, Giuseppe Ingarao, Livan Fratini

“…Data were then fitted by accurate Response Surfaces trained by means of interpolant Radial Basis Functions and anisotropic Kriging algorithms, subsequently used to carry out a virtual optimization managed by multi-objective evolutionary algorithms (MOGA-II and NSGA-II). …”
Get full text

Innovative Landslide Susceptibility Mapping Portrayed by CA-AQD and K-Means Clustering Algorithms by Mao Yimin, Li Yican, Deborah Simon Mwakapesa, Wang Genglong, Yaser Ahangari Nanehkaran, Muhammad Asim Khan, Zhang Maosheng

“…The K-means algorithm divides these groups into five susceptibility classes according to the values of landslide density in each group. …”
Get full text

Classification of Plant Species with Iris Dataset Using ANN, KNN and K-Means Algorithms by M. Hanefi Calp, Vijender Kumar Solanki

Get full text

Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Mohammad Nishat Akhtar, Waseem Ahmed, Muhammad Rafiq Kakar, Elmi Abu Bakar, A. R. Othman, Moises Bueno

“…The results showed that the PKIP algorithm decreases the execution time up to 30% to 46% if compared with the sequential k means algorithm when implemented using multiprocessing and distributed computing. …”
Get full text

New Variable Metric Algorithm by The Mean of 2nd Order Quasi-Newton Condition by Abbas Al-Bayati, Runak Abdullah

Get full text

An Improved NSGA-III Algorithm for Scheduling Ships Arrival and Departure the Main Channel of Tianjin Port by Luzhen Ren, Yuzheng Li, Shibo Zhou

“…The results show that the im-proved NSGA-III algorithm is better than the NSGA-II and NSGA-III algorithms. …”
Get full text

A fixed normalized LMF (XE-NLMF) algorithm for single stage grid interfaced solar PVSystem by Subhranshu Sekhar Puhan, Renu Sharma

“…Abstract This manuscript presents the analysis and design of a fixed normalized least mean fourth (XE-NLMF) based algorithm for a single-stage, three-phase grid-integrated solar photovoltaic (SPV) system. …”
Get full text

Load balancing method of service cluster based on mean-variance by Xiaoan BAO, Xue WEI, Lei CHEN, Guoheng HU, Na ZHANG

Subjects: Get full text

QUANTUM INFORMATICS: OVERVIEW OF THE MAIN ACHIEVEMENTS by A. Sigov, E. Andrianova, D. Zhukov, S. Zykov, I. E. Tarasov

“…For foreign and Russian publications and materials, a review of the main scientific results that characterize the current state of research in quantum computer science is made. …”
Get full text

Alternating minimum mean square error hybrid beamforming algorithm in mmWave MIMO system by Min SHEN, Hao XU, Yun HE, Pengguang ZHOU

“…The two-stage hybrid beamforming architecture can solve the problem of limited number of RF chains effectively.However,it is still difficult to design a hybrid beamforming algorithm with better performance.In order to achieve higher spectral efficiency,an alternating minimum mean square error (Alt-MMSE) hybrid beamforming algorithm was proposed.Firstly,the initial digital matrix by using the orthogonal properties of the digital matrix was designed,and then the digital matrix by minimizing the square error of the transmitted signal and the received signal was updated.During each iteration,the phase of the analog matrix could be obtained from the updated digital matrix and the optimal fully digital matrix.The simulation results show that the proposed algorithm has better performance and is closer to fully digital beamforming than OMP hybrid beamforming algorithm and hybrid processing scheme based on matrix decomposition .…”
Get full text

Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control by Suman Turpati, Ajay Roy, Tathababu Addepalli, Mohammed Alkahtani, Abdullatif Hakami, Ahmad Faiz Minai, Abdallah Hammad

“…The Filtered Cross Least Mean Square (FxLMS) algorithm is one of ANC’s most successful adaptive algorithms for reducing undesired noise. …”
Get full text

K-Means Centroid Optimization with Genetic Algorithm for Clustering Micro, Small, Medium Enterprises in Yogyakarta by Muhammad Faris Akbar, Lisna Zahrotun

Subjects: “…genetic algorithm…”
Get full text

An Algorithm for Computing Geometric Mean of Two Hermitian Positive Definite Matrices via Matrix Sign by F. Soleymani, M. Sharifi, S. Shateyi, F. Khaksar Haghani

“…Using the relation between a principal matrix square root and its inverse with the geometric mean, we present a fast algorithm for computing the geometric mean of two Hermitian positive definite matrices. …”
Get full text

Mean Shift Fusion Color Histogram Algorithm for Nonrigid Complex Target Tracking in Sports Video by Yu Liu, Xiaoyan Wang

“…Our results of nonrigid complex target tracking by mean shift fusion color histogram algorithm for sports video improve the accuracy by about 8% compared to other studies. …”
Get full text