Multi-objective synthesis planning by means of Monte Carlo Tree search by Helen Lai, Christos Kannas, Alan Kai Hassen, Emma Granqvist, Annie M. Westerlund, Djork-Arné Clevert, Mike Preuss, Samuel Genheden

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Penerapan Algoritma K-Means Clustering Untuk Mengetahui Kemampuan Karyawan IT by Dina Zakiyah, Nita Merlina, Nissa Almira Mayangky

“…Therefore, we need a technique that can group the employee's ability to determine the employee's ability using the K-Means Clustering Algorithm method. The data grouping is done in several stages, namely, inputting data into Ms. …”
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Perbandingan Aplikasi Algoritma Kernel K-Means pada Graf Bipartit dan K-Means pada Matriks Dokumen- Istilah dalam Dataset Penelitian Covid-19 RISTEKBRIN by Budi Nugroho

“…As comparison, we applied original k-means algorithm on the document-term matrix of the dataset. …”
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Machine state classification of electric track circuit by means of logistic regression by D. V. Borisenko, I. V. Prisukhina, S. A. Lunev

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Application of Artificial Intelligence using K-Means for Programming Question Assessment by Waliyyudin Waliyyudin, Ichsan Ibrahim

“…The method employed is the K-Means clustering algorithm, chosen for its ability to group answers based on similarities in logic and code structure rather than mere textual similarity. …”
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Polyspectral mean based time series clustering of Indian stock market by Dhrubajyoti Ghosh

“…Abstract In this study, we employ k-means clustering algorithm of polyspectral means to analyze 49 stocks in the Indian stock market. …”
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MEANS OF DRUG DELIVERY IN THE EVENT OF INHALATION THERAPY IN CHILDREN: SELECTION CRITERIA by L. R. Selimzyanova, E. A. Vishneva, E. A. Promyslova

“…The article presents an algorithm of selecting means of inhalation drug delivery for use in children and the review of currently marketed inhalers, their advantages and drawbacks.…”
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Ellipsoidal <i>K</i>-Means: An Automatic Clustering Approach for Non-Uniform Data Distributions by Alaa E. Abdel-Hakim, Abdel-Monem M. Ibrahim, Kheir Eddine Bouazza, Wael Deabes, Abdel-Rahman Hedar

“…Traditional <i>K</i>-means clustering assumes, to some extent, a uniform distribution of data around predefined centroids, which limits its effectiveness for many realistic datasets. …”
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Comparison of Dynamic Programming Algorithm and Greedy Algorithm on Integer Knapsack Problem in Freight Transportation by Global Ilham Sampurno, Endang Sugiharti, Alamsyah Alamsyah

“…Knapsack is a place used as a means of storing or inserting an object. The purpose of this research is to know how to get optimal solution result in solving Integer Knapsack problem on freight transportation by using Dynamic Programming Algorithm and Greedy Algorithm at PT Post Indonesia Semarang. …”
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Wind Turbine Placement Optimization by means of the Monte Carlo Simulation Method by S. Brusca, R. Lanzafame, M. Messina

“…This paper defines a new procedure for optimising wind farm turbine placement by means of Monte Carlo simulation method. To verify the algorithm’s accuracy, an experimental wind farm was tested in a wind tunnel. …”
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K-Means Clustering of Social Studies Performance at Junior High School by Tundo, Syifa Raihanah, Tri Wahyudi, Sugiyono

“…The main issues include the underutilization of technology, the absence of an appropriate evaluation system for different levels of student ability, and ineffective methods for grouping students. The K-Means Clustering algorithm was chosen because it has proven effective in grouping academic data in various studies. …”
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Penerapan Algoritme Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance (LMKHNCN) Untuk Klasifikasi Hasil Kinerja Pegawai Negeri Sipil by Adam Syarif Hidayatullah, Fitra Abdurrachman Bachtiar, Imam Cholissodin

“…This study is use classification technique Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance (LMKHNCN). This method is modified base algorithm of K-Nearest Neighbor (KNN). …”
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ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition. by David Koslicki, Saikat Chatterjee, Damon Shahrivar, Alan W Walker, Suzanna C Francis, Louise J Fraser, Mikko Vehkaperä, Yueheng Lan, Jukka Corander

“…The aggregation of reads is a pre-processing approach where we use a standard K-means clustering algorithm that partitions a large set of reads into subsets with reasonable computational cost to provide several vectors of first order statistics instead of only single statistical summarization in terms of k-mer frequencies. …”
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Leveraging prior mean models for faster Bayesian optimization of particle accelerators by Tobias Boltz, Jose L. Martinez, Connie Xu, Kathryn R. L. Baker, Zihan Zhu, Jenny Morgan, Ryan Roussel, Daniel Ratner, Brahim Mustapha, Auralee L. Edelen

“…In this work, we examine incorporating prior accelerator physics information into Bayesian optimization algorithms by utilizing fast executing, neural network models trained on simulated or historical datasets as prior mean functions in Gaussian process models. …”
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Feasibility of Conflict Prediction of Drone Trajectories by Means of Machine Learning Techniques by Victor Gordo, Javier A. Perez-Castan, Luis Perez Sanz, Lidia Serrano-Mira, Yan Xu

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What ‘Postdigital’ Means to Us: Roundtable with Members of the Centre for Postdigital Cultures by Janneke Adema, Sylvester Arnab, Adrienne Evans, Mel Jordan, Petros Lameras, Marcus Maloney, Kevin Walker

“…It brings together members of the Centre for Postdigital Cultures, Coventry University, from the centre’s five core research strands: Postpublishing; Postdigital Intimacies; ArtSpaceCity; Ludic Design; and AI and Algorithmic Cultures. Here we explore the multifaceted and interdisciplinary meaning to us of the concept of the ‘postdigital’ and unpack the salient characteristics that make it an important concept in future practice-research-theory.…”
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UNDERSTANDING LQ45 STOCKS (2021-2023) WITH K-MEANS CLUSTERING by Margareta Febe, Giovanny Theotista, Winson Winson

“…Mathematics plays a crucial role in the K-Means model by providing the foundational algorithms and statistical methods used to categorize and analyze the data. …”
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ESTIMATION OF HELICOPTER BLADE POSITION BY MEANS OF TWO-CHANNEL MEASURING SYSTEM by V. A. Anikin, N. V. Kim, P. D. Prokhorov

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Optimization of EMS Station Layout Based on a New Decision Support Framework by Peng Yang, Bozheng Zhang, Jingrong Yang

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Robust Improvement Strategy for Power Grid Hosting Capacity with Integration of High Proportion of Renewable Energy by Yangqing DAN, Lei WANG, Weimin ZHENG, Jiahui WU, Chenxuan WANG, Gaowang YU

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