ALGORITHMIZATION AS A CLASSICAL FORM OF MATHEMATICAL KNOWLEDGE MINIMIZATION by S.I. MASALOVA

“…The article provides the analysis of algorithmization as one of the forms of formalization used as a logical and epistemological means to construct abstract mathematical objects in terms of classical rationality. …”
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Boosting any learning algorithm with Statistically Enhanced Learning by Florian Felice, Christophe Ley, Stéphane P. A. Bordas, Andreas Groll

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Low complexity uplink multiuser MIMO detecting algorithm by HEI Yong-qiang1, LI Xiao-hui1, YI Ke-chu1, YANG Hong2

“…Aiming at the uplink multiuser MIMO system,a new space-time detecting algorithm was proposed,in which a linear recombination strategy was imposed on the received signal first,and then the matched filter vectors orthogonal to each users’ interference sets were used to eliminate the interference among users.Finally the signal of each user was line-arly space-time decoded by means of the orthogonal equivalent channel.The design of the algorithm under imperfect channel scenario was also provided.Theory analysis and simulation results reveal that the proposed algorithm has the advantages of low complexity and good robustness,and is superior to other detecting algorithms.…”
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The functional voxel algorithm for iterative composition of complex contours by A. A. Sycheva, A. M. Plaksin

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Automated System for Teaching Computational Complexity of Algorithms Course by Vadim S. Roublev, Murad T. Yusufov

“…This article describes problems of designing automated teaching system for “Computational complexity of algorithms” course. This system should provide students with means to familiarize themselves with complex mathematical apparatus and improve their mathematical thinking in the respective area. …”
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Density Peak Clustering Algorithm Based on Shared Neighborhood by LI Fuxiang, ZHOU Ming, YANG Tianhao

“…The results show that the clustering accuracy and overall performance of this algorithm are better than four algorithms: DPC-KNN, DPC, K-means and DBSCAN. …”
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An Efficient Line Search Algorithm for Large Scale Optimization by Abbas Al-Bayati, Ivan Latif

“…In this work we present a new algorithm of gradient descent type, in which the stepsize is computed by means of simple approximation of the Hessian Matrix to solve nonlinear unconstrained optimization function. …”
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A Novel Clustering Algorithm Inspired by Membrane Computing by Hong Peng, Xiaohui Luo, Zhisheng Gao, Jun Wang, Zheng Pei

“…Experimental results show that the proposed clustering algorithm is superior or competitive to k-means algorithm and several evolutionary clustering algorithms recently reported in the literature.…”
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Flou: A Co-Compositional Attempt at Algorithmic Embodiment by Kenrick Ho

“…The piece touches on a broader compositional problem where historically, when algorithms were used as a means in itself, composers were often faced with tensions between the algorithm, the composer, and the performer. …”
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New Insights into Fuzzy Genetic Algorithms for Optimization Problems by Oleksandr Syzonov, Stefania Tomasiello, Nicola Capuano

“…Afterward, some additional benchmarks were retrieved from the literature for a fair comparison against published results, which were obtained by means of former variants of fuzzy genetic algorithms. …”
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A Survey of Approximation Algorithms for the Power Cover Problem by Jiaming Zhang, Zhikang Zhang, Weidong Li

“…It also provides a comprehensive overview of the power cover problem and its variants under both specified and unspecified sensor settings, summarizes existing results and approximation algorithms, and outlines potential directions for future research.…”
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Stability Analysis of Learning Algorithms for Ontology Similarity Computation by Wei Gao, Tianwei Xu

“…For ranking algorithms, which are in a well-stable state, we study generalization bounds via some concepts of algorithmic stability. …”
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Reconstruction of 12-lead ECG: a review of algorithms by Ekenedirichukwu N. Obianom, G. André Ng, G. André Ng, G. André Ng, G. André Ng, Xin Li, Xin Li, Xin Li

“…Both linear and nonlinear algorithms can achieve high correlations, and minimal root means square errors. …”
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Appling A Hybrid Encryption Algorithm in Cloud Computing‎ by Esraa Alobaydi, Muna Jawhar

“…The obtained results showed that the hybrid algorithm gives the ability to combine different advantages of the encryption algorithms and achieve the ideal balance between strong protection and efficient performance in the field of in-cloud data protection with minimal time consumption.…”
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Illustration Design Model with Clustering Optimization Genetic Algorithm by Jing Liu, Qixing Chen, Xiaoying Tian

“…This algorithm focuses on the problem of group diversity and uses k-means cluster analysis operation to solve the problem of group diversity. …”
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Phishing detection algorithm based on attention and feature fusion by ZHANG Sirui, YAN Zhiwei, DONG Kejun, YUCHI Xuebiao

“…Phishing has been the primary means utilized by attackers to conduct cyber fraud. …”
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Functional Neurological Symptom Disorder: A Diagnostic Algorithm by Eugénie Girouard, Isabelle Savoie, Ludivine Chamard Witkowski

“…It is most often a diagnosis of exclusion which often means that patients undergo many tests and find themselves erring for a diagnosis with very little satisfaction of the outcomes. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…The study found that the SVM algorithm had the best prediction results after parameter adjustment, with a 96% accuracy rate. …”
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Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network by Qiuhui Wang, Qiong Ran, Ke Zheng, Jiaxin Li

“…Spatiotemporal fusion (STF) technology is an effective means to address the challenge of balancing temporal and spatial resolutions for single satellite sensors. …”
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COMPARISON OF DATASET OVERSAMPLING ALGORITHMS AND THEIR APPLICABILITY TO THE CATEGORIZATION PROBLEM by Denys Teslenko, Anna Sorokina, Artem Khovrat, Nural Huliiev, Valentyna Kyriy

“…The obtained results indicated the best applicability of SMOTE and SVM SMOTE algorithms, the worst performance of Borderline SMOTE and k-means SMOTE, and at the same time described the results of each algorithm and the potential of their usage. …”
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