Algorithms of training programs for simulator training of ship's engine room personnel by Vlasov A. B.

“…In the course of simulator practice, the opportunity to develop competencies for working with high-voltage equipment (3–10 kV) of modern ships in accordance with the requirements of the STCW Convention and the STCW Code is of particular importance. Algorithms for training in high-voltage equipment maintenance should be introduced into the educational process to improve the level of qualification of specialists.…”
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Computational Analysis of Self-Healing in Nanomaterials Using Neural Spike Algorithms by Jongho Seol, Jongyeop Kim, Abhilash Kancharla

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Validation of Material Algorithms for Femur Remodelling Using Medical Image Data by Shitong Luo, Xingquan Shen, Xin Bai, Jing Bai, Jianning Han, Yu Shang

“…Moreover, the simulated L-T ratios (the ratio of longitude modulus to transverse modulus) by the orthotropic algorithm were close to the reported results. This study suggests a role for “error-driven” algorithm in bone material prediction in abnormal mechanical environment and holds promise for optimizing implant design as well as developing countermeasures against bone loss due to weightlessness. …”
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Evaluation of the performance of algorithms for synthesizing radar images using Cuda technology by S. V. Kozlov

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Psychological artificial intelligence: Designing algorithms to deal with the uncertainty of rework in construction by Peter E.D. Love, Jane Matthews, Weili Fang

“…Bayesian statistical models cannot be utilized to predict rework as objective, and even subjective probabilities are unknown. …”
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The methods and algorithms for generating of program trajectories for robotic manipulators of arc welding by M. M. Kozhevnikov, O. A. Chumakov, I. E. Ilushin, L. A. Loboreva

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Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data by Sadullah Çelik, Bilge Doğanlı, Mahmut Ünsal Şaşmaz, Ulas Akkucuk

“…Subsequently, classification algorithms are used to predict the cluster membership and the accuracy scores obtained serve as an indirect measure of the clustering quality. …”
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Algorithms for Synthesis of Technological Operations for Manufacturing Samples of Structurally Complex Products by A. V. Petukhov

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OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY by Ápostolos Tsagaris, Gabriel Mansour

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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

“…The methodology includes preprocessing data methods, and the ANN model optimises with a marine predator algorithm (MPA). In the optimisation procedure, to decrease uncertainty and expand the predicting range, the slime mould algorithm (SMA-ANN), constriction coefficient-based particle swarm optimisation and chaotic gravitational search algorithms (CPSOCGSA-ANN), and particle swarm optimisation (PSO-ANN) are applied to compare and validate the MPA-ANN model performance. …”
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Comparison of three one-dimensional time-domain electromagnetic forward algorithms by Frederik Alexander Falk, Anders Vest Christiansen, Thomas Mejer Hansen

“…Accurate, efficient, and accessible forward modeling of geophysical processes is essential for understanding them and for inversion of geophysical data. Various algorithms are available for predicting data with the time domain electromagnetic method (TDEM). …”
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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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Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

“…We propose a novel cross-validation method to evaluate co-occurrence network inference algorithms, and new methods for applying existing algorithms to predict on test data. …”
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An evaluation of flow-routing algorithms for calculating contributing area on regular grids by A. B. Prescott, J. D. Pelletier, S. Chataut, S. Ananthanarayan

“…We revisit the purported excess dispersion of the multiple-flow-direction (MFD) algorithm of Freeman (1991) that motivated the development of <span class="inline-formula"><i>D</i>∞</span> and demonstrate that MFD is superior to <span class="inline-formula"><i>D</i>∞</span> when tested against analytic solutions for the contributing areas of idealized landforms and the predictions of the shallow-water equation solver FLO-2D for more complex landforms in which the water surface slope is closely approximated by the bed slope. …”
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From multi-omics to predictive biomarker: AI in tumor microenvironment by Luo Hai, Luo Hai, Ziming Jiang, Haoxuan Zhang, Yingli Sun, Yingli Sun, Yingli Sun

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Conflict management training for future educators by N. A. Sokolova, N. V. Sivrikova, E. G. Chernikova, T. G. Ptashko, E. M. Harlanova, S. V. Roslyakova

“…The relevance of the declared topic was dictated by the increased conflict between the members of education and the increasing demands placed on the professional activities of the modern teachers to resolve conflicts in the conditions of general education school. …”
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STAFFING MECHANISM TRIPLE HELIX by L. Artamonova, T. Shpilkina, I. Kvasov

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Spark: The First Choice for Novices by Judith Gal-Ezer, Smadar Szekely

Subjects: “…computer science education…”
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Development of Empathy of Seventh-graders on the Basis of Musical and Stage Images by Kiryanov I.E., Lipkan N.V.

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A new algorithm for surgical treatment of infected pancreatic necrosis by E. A. Korymasov, S. A. Ivanov, N. I. Anor'ev, R. R. Yakovlev

“…The developed devices for necrectomy allowed for a reduction in operation time by 45.6% (p = 0.04). Conclusions: The application of the developed treatment algorithm and instrumentation using minimally invasive technologies allowed for a reduction in the frequency of postoperative complications from 94.3% to 38.1% and mortality from 54.7% to 33,3% in patients with infected pancreatic necrosis.…”
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