PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

“…Additionally, this study employed Firefly Algorithm (FA), Bat Algorithm (BA) and Support Vector Machine (SVM), which were assessed using coefficient of determination (R²), root mean square error (RMSE), mean squared error (MSE) and mean absolute error (MAE).The obtained results for Firefly Algorithm (FA) are found to be as R2 = 0.9104, RMSE = 0.0658, MSE= 0.0043 and MAE= 0.0039, for Bat Algorithm (BA) are found to be as R2 = 0.9421, RMSE = 0.0528, MSE= 0.0027 and MAE= 0.0024, and for Support Vector Machine (SVM) are found to be as R2 = 0.8795, RMSE = 0.0762, MSE= 0.0058 and MAE= 0.0052, respectively. …”
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New algorithm for the diagnosis of hereditary dystonia by Sarah Camargos, Francisco Cardoso

“…Taking into account the crescent interest in the field of dystonia genetics, we have organized a didactic and fast algorithm to diagnose the main forms of hereditary dystonias. …”
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New Parallel Algorithms for BVPs in ODEs by Bashir Khalaf

“…The main objective of this paper is the development of a new parallel integration algorithm for Solving Boundary Value Problem (BVPs) in Ordinary Differential Equation, (ODEs). …”
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Algorithm for choosing the best available technology by V. I. Bondarenko, O. V. Eremenko, Yu. V. Tretyakova

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Research review of federated learning algorithms by Jianzong WANG, Lingwei KONG, Zhangcheng HUANG, Linjie CHEN, Yi LIU, Anxun HE, Jing XIAO

“…In recent years,federated learning has been proposed and received widespread attention to overcome data isolated island challenge.Federated learning related researches were adopted in areas such as financial field,healthcare domain and smart city related application.Federated learning concept was introduced into three different layers.The first layer introduced the definition,architecture,classification of federated learning and compared the federated learning with traditional distributed learning.The second layer presented comparison and analysis of federated learning algorithms from machine learning and deep learning aspects.The third layer separated federated learning optimization algorithms into three aspects to optimize federated learning algorithm through reducing communication cost,selecting proper clients and different aggregation method.Finally,the current research status and three main challenges on communication,heterogeneity of system and data to be solved were concluded,and the future prospects in federated learning domain were proposed.…”
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MODERN ALGORITHMS OF MICROBIOLOGICAL DIAGNOSTICS OF TUBERCULOSIS by Elina V. Sevastyanova, Larisa N. Chernousova

“…The article presents the comparative analysis of the microbiological diagnostics algorithm, developed and used in Central Tuberculosis Research Institute and the algorithm of laboratory diagnostics and monitoring of treatment of pulmonary tuberculosis and drug resistant tuberculosis based on modern rapid molecular techniques, developed by the experts of European Laboratory Initiatives jointly with Secretariat of Regional Office for Europe of World Health Organisation (WHO) for countries of the WHO European Region.It has been proved that despite some differences in these algorithms, the main principles on which they are based and approaches to diagnostics are similar. …”
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Truck Fudeau: Algorithms, Conspiracy and Radicalization by Michael Hoechsmann, Miranda McKee

“… COVID-19 public health mandates used in Canada and elsewhere proved to be potent measures for radicalizing new groups to right-wing ideas and gatherings, as well as for broadly main-streaming anti-government and anti-media rhetoric. …”
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Architecture and implementation of ulrb algorithm in R by Francisco Pascoal, Rodrigo Costa, Luís Torgo, Catarina Magalhães, Paula Branco

“…This is inappropriate because such thresholds are arbitrary and lack biological meaning. To solve this problem, we have proposed the utilization of unsupervised machine learning, through the ulrb (“Unsupervised Learning Definition of the Microbial Rare Biosphere”) algorithm, implemented as an R package (v0.1.8). …”
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Algorithm for analyzing randomness in point patterns by Tony Sampaio, Jorge Rocha, Cláudia M. Viana, Silvana Camboin, Fábio Marcelo Breunig, Edenilson Nascimento, Elaine de Cacia de Lima Frick

“…We implemented this algorithm in Python as a QGIS script with two main steps: the first handles overlay operations and preliminary calculations for the chi-square goodness-of-fit test with and without Bonferroni correction in the second step. • A detailed step-by-step procedure for analyzing randomness in point patterns in a processing toolbox Python script for integration into the open-source software QGIS. • Automated scripts for structuring data, calculating expected and observed values, and applying the chi-square goodness-of-fit test for statistical analysis. • Advanced spatial analysis using chi-square goodness of fit coupled with and without Bonferroni correction, providing deeper insight into the study of the effect of spatial phenomena on the distribution of point events.…”
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Algorithmic Anthropomorphizing, Platform Gossip, and Backlashes: Aspirational Content Creators’ Narratives About YouTube’s Algorithm on Reddit by John R. Gallagher, Antonia Pecoraro Hernandez

“…The analysis reveals four main themes: mythologizing and anthropomorphism, demystification of the algorithm, platform gossip, and community backlash. …”
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The hermeneutic circle as a means of illustration of the understanding problem when teaching didactic communications by E. E. Neupokoeva, N. K. Chapaev

“…The theoretical and methodological component of the research is based on hermeneutic, system-activity and integrative approaches. The main research findings are drawn upon the cognitive theory (theory of cognitive processes). …”
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Fast blind detection of short-wave frequency hopping signal based on MeanShift by Zhengyu ZHU, Yu LIN, Zixuan WANG, Kexian GONG, Pengfei CHEN, Zhongyong WANG, Jing LIANG

“…In the complex short-wave channel environment, combined with time-frequency analysis technology, a fast blind detection algorithm of the connected domain labeled frequency hopping signals based on MeanShift algorithm was proposed to reduce the influence of various interference signals and noises on frequency hopping signals and realize blind detection of frequency hopping signals under low signal-to-noise ratio.Firstly, the channel environment gray-scale time-frequency map was filtered by the secondary gray-scale morphology to obtain the binary time-frequency map.Secondly, the maximum duration of the signal was calculated by the connected domain labeling algorithm.Then, the MeanShift algorithm was used to cluster the maximum duration of the signal.Finally, the clustering result was made a second judgment by combining with the adaptive double threshold.The simulation results show that the proposed algorithm can quickly separate various interference signals and sharp noise under low signal-to-noise ratio, and realize fast blind detection of frequency hopping signals without any prior information.It has high detection probability, strong anti-interference ability in short-wave channel environment, low computational complexity and high engineering practical value.…”
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Modified Bancroft Algorithm for Multilateration Systems by A. A. Monakov

“…The algorithm allows to obtain the location estimation by means of direct method and does not require significant computing costs. …”
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The Support Splitting Algorithm for Induced Codes by Yury V. Kosolapov, Aleksey N. Shigaev

“…This suggests a potentially high resistance of the McEliece-type cryptosystem on the code Flq ⊗ C. The algorithm for splitting the support for the code Flq ⊗ C is constructed and the efficiency of this algorithm is compared with the existing attack on the key of the McElice type cryptosystem based on the code Flq ⊗ C.…”
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Knowledge-based Algorithms for BDI-agents by Nikolay Vyacheslavovich Shilov, Natalia Olegovna Garanina

“…Multiagent algorithm is a knowledge-based distributed algorithm that solves some problems by means of cooperative work of agents. …”
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Quantum algorithms for enhanced educational technologies by Basil Hanafi, Mohammad Ali, Devyaani Singh

“…Modern quantum algorithms like Grover’s Algorithm and Quantum Annealing support various functionalities like rapidity in processing as well as instantaneous flexibility towards customization of learning resources for the students and proper optimization of the learning trail. …”
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The Problem of Subjectivity in Algorithmic Creativity Organisation by Tetiana Sovhyra

“…Interpretation of meaningful content is a critical problem in relevant practices. The usage of algorithms in creating art products challenges traditional methods of artistic cultural creation, as the artist’s meaning and intentions are not always clear. …”
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FCC algorithm for power loss diminution by Kanagasabai L.

“…A preliminary solution of the problem is produced, and the initialization of the teams depends on the team’s formation with substitute tactics. Mainly fitness function for each solution is computed, and it plays an imperative role in the process of the algorithm. …”
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Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means by Shuai Zhang, Ke-Xin Chen, Ji-Chong Yang

“…As a machine learning algorithm, kernel k-means has been demonstrated to be useful for searching NP signals. …”
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Pemodelan K-Means Pada Penentuan Predikat Kelulusan Mahasiswa STMIK Palangka Raya by Lili Rusdiana, Sam'ani Sam'ani

“…K-Means algorithm is used through three stages: initialization , the first iteration and the second iteration. …”
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