The Polynomial Algorithm of Finding the Shortest Path in a Divisible Multiple Graph by Alexander Valeryevich Smirnov

“…The corresponding polynomial algorithm is formulated. Also we suggest the modification of the algorithm for the case of an arbitrary multiple graph. …”
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ALGORITHM FOR ASSESSING TIME AND COST RISKS AT ENTERPRISES OF THE MILITARY-INDUSTRIAL COMPLEX by N.D. Pechalin, A.G. Finogeev

“… Background. The article considers the development of models and a method for assessing the time and cost risks of manufacturing products at defense industry enterprises. …”

Improved genetic algorithm based on rule optimization strategy for fibre allocation by Feng Tan, Zhipeng Yuan, Yong Zhang, Sheng Tang, Feng Guo, Shuai Zhang

“…In modern manufacturing industry, in order to adapt to changes in the general environment, the manufacturing industry must improve production efficiency. To this end, this article introduces an improved genetic algorithm based on rule selection to tackle the nondeterministic polynomial hard problem stemming from inventory fibre resources and fibre selection principles in optical cable production. …”
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Neighboring Algorithm for Visual Semantic Analysis toward GAN-Generated Pictures by Lu-Ming Zhang, Yichuan Sheng

“…In this article, we proposed a novel image ranking algorithm based on the nearest neighbor algorithm. …”
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Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…This article considers the problem of efficient sampling for toxicity detection in competitive online video games. …”
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Algorithmic support of the system of external observation and routing of autonomous mobile robots by M. V. Egortsev, S. A. K. Diane, N. D. Kaz

“…This article presents the algorithmic support of the external monitoring and routing system of autonomous mobile robots. …”
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A Novel SPGD Algorithm for Wavefront Sensorless Adaptive Optics System by Jiaxun Li, Lianghua Wen, Hankui Liu, Guiming Wei, Xiang Cheng, Qing Li, Bing Ran

“…The numerical simulations are completed in this article. The results of <inline-formula><tex-math notation="LaTeX">${\bm{D}}/\ {{\bm{r}}}_0 = \ 2.5$</tex-math></inline-formula> conditions demonstrate that the AGSPGD can reduce the number of iterations by 25&#x0025;, and the probability of the algorithm falling into local optimum is reduced from 16&#x0025; to 4&#x0025;. …”
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Lightweight Crack Automatic Detection Algorithm Based on TF-MobileNet by Jiantao Yu, Songrong Qian, Cheng Chen

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Gauss process state-space model optimization algorithm with expectation maximization by Hongqiang Liu, Haiyan Yang, Tao Zhang, Bo Pan

“…Then, the Gauss process–assumed density filter algorithm and the Gauss process Rauch–Tung–Striebel smoother algorithm are proposed with the Gauss process state-space model defined in this article, in order to calculate the smoothed distribution in the conditional expectation function. …”
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Shuffled Frog-Leaping Algorithm Metaheuristic for Extractive Single- Document Summarization by Juan-David Yip-Herrera, Martha-Eliana Mendoza-Becerra

“… Due to the increasing amount of information available on the Internet, it is important for users to have a summary containing the most important ideas from the documents they find, in order to quickly identify which ones to read. This article addresses this issue through a modified algorithm for the automatic generation of single-document  extractive summaries, aiming to produce summaries of a quality comparable to those generated by expert humans. …”
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Black box algorithms and the rights of individuals: no easy solution to the “explainability” problem by Jarek Gryz, Marcin Rojszczak

“…The aim of this article is twofold. First, to demonstrate that the interpretability of “black box” machine learning algorithms is a challenging technical problem for which no solutions have been found. …”
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A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis by Tarneem Elemam, Mohamed Elshrkawey

“…Cancer is a deadly disease that occurs due to rapid and uncontrolled cell growth. In this article, a machine learning (ML) algorithm is proposed to diagnose different cancer diseases from big data. …”
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Formation of the pediatric electroretinogram database parameters for the development of doctor’s decisionmaking algorithm by A. E. Zhdanov, A. Yu. Dolganov, V. N. Kazaykin, V. I. Borisov, V. O. Ponomarev, L. G. Dorosinsky, A. V. Lizunov, E. Luchian, X. Bao

“…This article describes the formation of the parameters of pediatric electroretinogram database parameters for the development of doctor’s decision-making algorithm. …”
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Back pain in young people: algorithm of management in practice of primary physician by N. A. Shostak, N. G. Pravdyuk, A. V. Novikova

“…Presented triad of MR-traits associated with persistent phenotype pain, which will help the therapist to establish the diagnosis of spinal osteoarthritis. The algorithm clearly describes the routing of patients to related specialists (rheumatologist, neurologist, etc.) according to the identified data.…”
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An Enhanced and Adaptive Algorithm for Secure Encryption of Data using Advanced Encryption by Mohanad S. Taha

“…Two or more approaches to security should be combined, according to what is highlighted in the article. AES encryption and decryption can be improved by adding other algorithms such as the replacement algorithm. …”
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Machine Learning Algorithms for Nondestructive Sensing of Moisture Content in Grain and Seed by Arthur P. LeBlanc, Samir Trabelsi, Khaled Rasheed, John A. Miller

“…Performance of this model is investigated and compared with models trained on an individual grain or seed by using different algorithms, including artificial neural network (NN), support vector regression (SVR), ElasticNet, among other algorithms. …”
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Parameter Identification of Permanent Magnet Synchronous Motor Based on LSOSMO Algorithm by Songcan Zhang, Zhuangzhuang Zhou, Yi Pu, Yan Li, Yingxi Xu

“…So as to solve the problems of slow PMSM parameter identification using the spider monkey algorithm, and easily falling into local optimal and having unstable identification results; the LSOSMO algorithm is put forward in this article, which combines logistic–sine chaotic mapping strategy, dynamic probability adaptive t-distribution method, and an opposition-based learning strategy to determine PMSMs’ electric parameters (stator resistance <i>R_s</i>, dq-axis inductance <i>L_d</i>, <i>L_q</i>, and flux linkage <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>ψ</mi><mi>f</mi></msub></mrow></semantics></math></inline-formula>). …”
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MODEL AND ALGORITHMS FOR DETERMINING THE LOCATION AND POSITION OF AGRICULTURAL MACHINERY DURING THE MOVEMENT by Andrii Podorozhniak, Oleksii Balenko, Valentyn Sobol

“…The following tasks are solved in the article: development of agricultural machinery physical model to collect information from sensors during movement, further development and research of applicability of algorithms for location and position determination. …”
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Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm by K. V. Dobrego, I. A. Koznacheev

“…The efficiency of the parameter optimization algorithm and the adequacy of the resulting model are shown. …”
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Optimization of the Offshore Wind Turbines Layout Using Cuckoo Search Algorithm by Ibrahim Abdulwahab, Solomon Andrew Onazi, Gideon Rimamfate, Akande Abdulwasiu, Abubakar Umar, N.A Iliyasu

“…As such, this research article developed an optimal large-scale offshore wind turbine placement based on wind farm layout design. …”
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