Klasifikasi Kebutuhan Jumlah Produk Makanan Customer Menggunakan K-Means Clustering dengan Optimasi Pusat Awal Cluster Algoritma Genetika by Yudi Istianto, Shofwatul 'Uyun

“…This study tries to apply data mining to classify the number of customer needs for food products using k-means clustering with optimization initial cluster center genetic algorithm. …”
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An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD by Jonathan Taylor, Richard Thomas, Peter Metherall, Marieke van Gastel, Emilie Cornec-Le Gall, Anna Caroli, Monica Furlano, Nathalie Demoulin, Olivier Devuyst, Jean Winterbottom, Roser Torra, Norberto Perico, Yannick Le Meur, Sebastian Schoenherr, Lukas Forer, Ron T. Gansevoort, Roslyn J. Simms, Albert C.M. Ong

“…Conclusion: Our AI-based algorithm demonstrates performance comparable to manual segmentation. …”
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THE RELIABILITY AND ACCURACY OF THE TRIPLE MEASUREMENTS OF ANALOG PROCESS VARIABLES by V. A. Anishchenko

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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…To address this, maximum dispersion dimensionality reduction in principal component analysis (PCA) is introduced. It employs the mean absolute difference (MAD) as the dispersion measure and subsequently proposes a novel cache optimization strategy, namely MAD-index-sort. …”
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Fuzzy Clustering Approaches Based on Numerical Optimizations of Modified Objective Functions by Erind Bedalli, Shkelqim Hajrulla, Rexhep Rada, Robert Kosova

“…The classical Fuzzy C-Means algorithm operates as an iterative procedure that minimizes an objective function defined based on the weighted distance between each point and the cluster centers. …”
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Student behavior patterns in vocational education big data based on clustering algorithm by Jing Jin

“…This paper applies the K-means clustering algorithm to deeply mine big data student behaviour patterns in vocational education, providing more precise and personalized data analysis tools and decision support for vocational education. …”
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Research on the Calculation Model and Algorithm Convergence of Cylindrical Fin-tube Heat Exchanger by Peng Wenhao, Gu Bo, Zeng Weijie

“…Moreover, for pipelines close to the water outlet of the heat exchanger, the lower limit temperature is higher than the total inlet temperature, which means that the algorithm has practical physical meaning, and could avoid the iteration into the unreasonable interval.…”
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Development of an Algorithm for Predicting Broiler Shipment Weight in a Smart Farm Environment by Bohyeok Lee, Juwhan Song

“…The experimental results showed that the K-means + Prophet predictor model recorded the best prediction performance among the algorithm combinations proposed in this paper. …”
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Evaluation of the Performance of Unsupervised Learning Algorithms for Intrusion Detection in Unbalanced Data Environments by Gutierrez-Portela Fernando, Almenares Mendoza Florina, Calderon-Benavides Liliana

“…Algorithms such as K-means++, DBSCAN, Local Outlier Factor (LOF), and Isolation Forest (I-forest) were analyzed using metrics like purity, homogeneity, completeness, V-measure, and adjusted mutual information to assess their effectiveness in detecting attacks such as DDoS, DoS, and reconnaissance. …”
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Artificial Intelligence in Criminalistics and Forensic Examination: Issues of Legal Personality and Algorithmic Bias by A. V. Kokin, Yu. D. Denisov

“…It is the use of mathematical data models that enables computer training through specialized algorithms and training data. Algorithms can create or reproduce distortions and inaccuracies unintentionally embedded in the training data, which causes the manifestation of algorithmic bias. …”
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Developing a hybrid model for comparative analysis of financial data clustering algorithms by Mojtaba Movahedi, Mahdi Homayounfar, Mehdi Fadaei, Mansour Soufi

“…The statistical population of the research includes 403 companies listed on the Tehran Stock Exchange in 2019, whose performance has been evaluated based on four financial criteria.Findings: After clustering the surveyed companies by five clustering algorithms, namely K-means, EM, COBWEB, density-based algorithm and ward method, seven indicators RS, DB, Dun, SD, Purity, Entropy and Time were used to evaluate the algorithms. …”
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Vehicle Authentication-Based Resilient Routing Algorithm With Dynamic Task Allocation for VANETs by Nagaraju Pacharla, K. Srinivasa Reddy

“…Vehicles of the future will have built-in means of communication that will allow them to exchange data with one another. …”
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Parametric optimization technique for continuous and combinational problems based on simulated annealing algorithm by Yosua Heru Irawan, Po Ting Lin

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New type of hot spot cluster centered positioning algorithm and its application by Shao-wu ZHOU, Bo-wei HUANG, Zhao-fu ZENG, Ming-hui ZHOU, Jie ZHAN

“…Considering the facts that the personnel orientation in the coal mine was difficult,and the existing algorithm is of high fixed position error,a new algorithm of hot spot cluster centered positioning for terrain underground in the coal mine was designed.The locations of moving nodes in po ion area were classified by using the RSSI,and the blind spots problems of positioning,which was not explained by the locating method mentioned in the existing literatures,was solved efficiently by means of new algorithm.Besides,the algorithm improved the real time performance and the accuracy of positioning.The validity of new algorithm was verified by the result of numerical simulation and experiment.…”
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Migration and commuting interactions fields: a new geography with community detection algorithm? by Isabelle Thomas, Arnaud Adam, Ann Verhetsel

“…The objective is to refresh the geography of Belgium using interactions between places by means of a community detection algorithm (Louvain Method) inspired by Complex theory and Data Sciences. …”
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An Energy-Efficient Distributed Algorithm for Virtual Backbone Construction with Cellular Structure in WSN by Jun Zhang, Yu Xiang, Xiaojuan Liu, Wenyong Wang, Yong Tang

“…The construction of virtual backbone within wireless sensor network (WSN) is an important means to reduce the redundant transmission and conserve limited energy resources. …”
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Optically Induced Dielectrophoresis and Machine Learning Algorithms for the Identification of the Circulating Tumor Cells by Joanna Filippi, Francesca Corsi, Paola Casti, Gianni Antonelli, Michele D’Orazio, Francesco Capradossi, Rosamaria Capuano, Giorgia Curci, Lina Ghibelli, Arianna Mencattini, Eugenio Martinelli

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An Intelligent Gestational Diabetes Mellitus Recognition System Using Machine Learning Algorithms by Rasool Jader, Sadegh Aminifar

“…In the recommended model, the amount of data is reduce by using the K-means clustering method. Predictions are made using a number of classification methods, such as decision tree, random forests, SVM, KNN, logistic regression, and naive bayes. …”
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Iterative algorithm for locating nodes in WSN based on modifying average hopping distances by LIN Jin-zhao1, CHEN Xiao-bing1, LIU Hai-bo1

“…Three approaches were put forward to improve the poor locating performance of DV-Hop algorithm which is one of the range-free algorithms in wireless sensor network （WSN） with a dynamic topology. …”
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Application of Intelligent Fuzzy Decision Tree Algorithm in English Teaching Model Improvement by Jingjing Li

“…In this paper, we propose a way to obtain the centroids of continuous attribute clustering by K-means algorithm and combine the triangular fuzzy number to fuzzy the continuous data. …”
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