Modelling the Shear-Tension Coupling of Woven Engineering Fabrics by F. Abdiwi, P. Harrison, W. R. Yu

“…Finally, the effectiveness of the method is evaluated and shown to provide qualitatively good predictions.…”
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Modelling of organizational and technological operation reliability of excavator sets by O. V. Demidenko, S. M. Kuznetsov, N. E. Alekseev

“…This authors propose an algorithm for estimating the operation reliability of complexes, sets and separate machines using statistical information based on the results od full-scale tests or modeling of their operation by Monte Carlo`s method. …”
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LOGIC SIMULATION OF LIFE SUPPORT SYSTEM COMPONENT IN REAL TIME by A. S. Marchenko, A. B. Sulin

“…The article proposed the use of simulation methods for evaluating the effectiveness of a stepped fan engine speed control while maintaining the air flow volume in the set boundaries of the «fan-filter» system. A detailed algorithm of the program made on the basis of an Any Logic software package. …”
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Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis by Minsung Kim, Taeyong Park, Jaewoong Kang, Min-Jeong Kim, Mi Jung Kwon, Bo Young Oh, Jong Wan Kim, Sangook Ha, Won Seok Yang, Bum-Joo Cho, Iltae Son

“…It was analysed using a two-stage binary algorithm with transfer learning. The algorithm predicted three categories: non-, simple, and complicated appendicitis. …”
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Traffic weaver: Semi-synthetic time-varying traffic generator based on averaged time series by Piotr Lechowicz, Aleksandra Knapińska, Adam Włodarczyk, Krzysztof Walkowiak

“…The primary motivation behind Traffic Weaver is to furnish semi-synthetic time-varying traffic in telecommunication networks, facilitating the development and validation of traffic prediction models, as well as aiding in the deployment of network optimization algorithms tailored for time-varying traffic.…”
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Study on Vibration Characteristic of Trilobe Raceway Cylindrical Roller Bearing with Elastic Support by Sun Xue, Deng Sier, Zhang Yuanjun, Chen Guoding

“…Based on dynamics analysis of rolling bearing,the dynamics differential equations for cylindrical roller bearing with trilobe raceway and elastic support are established. By using the predict-correct integer algorithm with variable step,the dynamics equation is solved,and the influence of structural parameters of elastic support and working conditions on the vibration characteristics of the bearing is investigated. …”
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Human adaptation to adaptive machines converges to game-theoretic equilibria by Benjamin J. Chasnov, Lillian J. Ratliff, Samuel A. Burden

“…Abstract Here we test three learning algorithms for machines playing general-sum games with human subjects. …”
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Practical aspects of forecasting the company’s financial performance by V. V. Kookueva, A. A. Aliev, R. I. Khavich

“…The article considers the methodological problems of forecasting key financial indicators related to forecasting the final results of the company. The algorithm for creating refined factor predictive models of financial indicators has been presented and tested. …”
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Numerical simulation of cavitating two-phase gas-liquid three-dimensional flow in a duct of varying cross-section based on homogenous mixture model by Nguyen The Duc

“…The numerical method uses artificial compressibility algorithm extended to unsteady flows with dual-time technique. …”
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Formation of Scattering Characteristics for Acoustical Ray Tracing Simulation by Srđan BOJIČIĆ, Dragana ŠUMARAC-PAVLOVIĆ, Miomir MIJIĆ

“…Ray tracing simulation of sound field in rooms is a common tool in room acoustic design for predicting impulse response. There are numerous commercial engineering tools utilising ray tracing simulation. …”
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Determining Functional Safety Indices of CWR Track Subject to Action of Thermal Compression Forces by O. A. Suslov

“…In the present paper there is proposed failure probability assessment algorithm based on the thermal track buckling emergence criterion. …”
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EFCNet: Expert Feature-Based Convolutional Neural Network for SAR Ship Detection by Zheng Chen, Yuxiang Zhang, Jing Bai, Biao Hou

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Optimizing EV charging stations and power trading with deep learning and path optimization. by Qing Zhu

“…Path optimization, using the Dijkstra algorithm, minimized travel times for EV users by 11.4%. …”
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Routing approach based on local topology control in cognitive radio networks by Shu-qi LIU, Yi-ming WANG, Cui-mei CUI

“…An approach of topology control and routing was proposed according to the characteristics of cogni ive radio networks,which considered multi factors optimization with fusion of primary users and secondary users.And the ap-proach took the spectrum utilization of primary users the interference from secondary users to primary users into ac-count.Then a joint link cost was defined combining the predicted cognitive link stability with the link power consump-tion.Furthermore,the local cognitive topology control routing(LCTCR)algorithm with minimizing the link cost was presented,which was used to optimize the network topology.Meanwhile,the network path was selected according to the optimized network topology.Theoretical analysis and simulation experiments show that the link power consumption and the link stability are also important parameters and need to be jointly optimized when selecting the network path.Only by doing so can it guarantee that the selected path is optimal.…”
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Flight Trajectory Simulation and Aerodynamic Parameter Identification of Large-Scale Parachute by Yihua Cao, Ning Wei

“…Finally, the genetic algorithm is used to identify the aerodynamic parameters of the large-scale Disk-Gap-Band parachute. …”
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Semi-supervised anchorless single-engine grip detection by Yun Shi, Gang Zhang, Min Kong, Jie Fang

“…Experiments show that the algorithm can help the robot grasp a single specific object and has a high success rate in overlapping scenes. …”
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Routing approach based on local topology control in cognitive radio networks by Shu-qi LIU, Yi-ming WANG, Cui-mei CUI

“…An approach of topology control and routing was proposed according to the characteristics of cogni ive radio networks,which considered multi factors optimization with fusion of primary users and secondary users.And the ap-proach took the spectrum utilization of primary users the interference from secondary users to primary users into ac-count.Then a joint link cost was defined combining the predicted cognitive link stability with the link power consump-tion.Furthermore,the local cognitive topology control routing(LCTCR)algorithm with minimizing the link cost was presented,which was used to optimize the network topology.Meanwhile,the network path was selected according to the optimized network topology.Theoretical analysis and simulation experiments show that the link power consumption and the link stability are also important parameters and need to be jointly optimized when selecting the network path.Only by doing so can it guarantee that the selected path is optimal.…”
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Automated model refinement using perturbation-observation pairs by Kyu Hyong Park, Jordan C. Rozum, Réka Albert

“…We implement a genetic algorithm-based workflow (boolmore) to streamline Boolean model refinement. …”
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Residual XGBoost regression-Based individual moving range control chart for Gross Domestic Product growth monitoring. by Rahida Rihhadatul Aisy, Latifatuz Zulfa, Yolanda Rahim, Muhammad Ahsan

“…This study introduces a novel approach to GDP forecasting and monitoring by integrating XGBoost regression, a robust machine learning algorithm, with Individual and Moving Range (I-MR) control charts. …”
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Artificial intelligence-assisted method of structural health monitoring of subway shield tunnel based on insulation degradation location. by Yiwei Zhao, Chengtao Wang, Yi Tao

“…The present study is dedicated to develop an integrated network-based method for locating the insulation degradation in subway tunnel. In this work, a predictive model based on LWQPSO-SOM algorithm is designed to cluster the risk level of stray current leakage through data mining. …”
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