Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments by Stefano Starita, Chandra Ade Irawan, Pavitra Jindahra

“…A Benders decomposition approach is developed to solve the bilevel problem alongside a more efficient nested GRASP heuristic. The algorithms are tested and compared on a set of artificial grids. …”
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Passive Initialization Method Based on Motion Characteristics for Monocular SLAM by Yu Yang, Jing Xiong, Xiaoyu She, Chang Liu, ChengWei Yang, Jie Li

“…However, current monocular SLAM algorithms cannot guarantee timeliness of system startup due to the problematic initialization time and the low success rates. …”
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Seismic Resistance of Non-Linearly Deformable Large-Span Spatial Structures of Unique Buildings by Saidmaksud R. Razzakov

“…Physically and geometrically nonlinear deformation models and computational algorithms for solving dynamic problems are proposed for estimating the stress-strain state of smooth and ribbed spatial systems with variable stiffness caused by damage accumulation and orthotropic structure reinforced by ribs. …”
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RESEARCH AND INNOVATION ACTIVITY OF THE STAVROPOL STATE AGRARIAN UNIVERSITY: TENDENCIES AND RESULTS by Vitaliy Yu. Morozov, Yuliya A. Bezgina, Vladimir V. Samoylenko

“…This system includes special algorithms of grant and project financing, intellectual property protection, publication of the results of scientific andtechnical activities. …”
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Weak Convergence Theorems for Bregman Relatively Nonexpansive Mappings in Banach Spaces by Chin-Tzong Pang, Eskandar Naraghirad, Ching-Feng Wen

“…We study Mann type iterative algorithms for finding fixed points of Bregman relatively nonexpansive mappings in Banach spaces. …”
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Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

“…The classification algorithms used were Support Vector Machine (SVM), Bayesian Networks (BN), and Logistic Regression (LR), comparatively. …”
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Physics Informed by Deep Learning: Numerical Solutions of Modified Korteweg-de Vries Equation by Yuexing Bai, Temuer Chaolu, Sudao Bilige

“…In this paper, with the aid of symbolic computation system Python and based on the deep neural network (DNN), automatic differentiation (AD), and limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) optimization algorithms, we discussed the modified Korteweg-de Vries (mkdv) equation to obtain numerical solutions. …”
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A New Open Loop Approach for Identifying the Initial Rotor Position of a Permanent Magnet Synchronous Motor by Qixin Zhu, Lei Xiong, Hongli Liu, Yonghong Zhu, Guoping Zhang

“…The rotor almost does not move during the process of identification. The FFT algorithms are used to remove the phase bias effects in identification. …”
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Interactive English Online Teaching System Based on B/S Model by Wanhong Gu, Yaxiong Yuan

“…In addition, this paper combines intelligent algorithms to construct an online interactive teaching system for English. …”
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An Efficient Method for Automatic Video Annotation and Retrieval in Visual Sensor Networks by Jiangfan Feng, Wenwen Zhou

“…We study a general method of discriminative dictionary learning which is independent of the specific dictionary and classifier learning algorithms. Furthermore, a tightly coupled discriminative sparse coding model is introduced. …”
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A Comparative Study of Over-Current Sensing for Traction Inverters by He Niu

“…The over-current condition for a traction inverter can indicate flaws on control algorithms, interference on logic signals, hardware aging, or hardware misconduct. …”
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STATIONARY DISTRIBUTION OF A TANDEM QUEUE WITH ADDITIONAL FLOWS ON THE STATIONS OF THE TANDEM by V. I. Klimenok

“…The service times of customer at the stations are exponentially distributed with the service rate depending of number of the station. The algorithms for culculation of stationary distributions and the loss probabilities associated with the tandem are given.…”
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Soft computing approaches of direct torque control for DFIM Motor's by Zakariae Sakhri, El-Houssine Bekkour, Badre Bossoufi, Nicu Bizon, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

“…Our evaluation focuses on various aspects: torque and flux ripple reduction, speed tracking improvement, switching losses minimization, algorithmic complexity simplification, and sensitivity reduction to parameter variations. …”
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Data mining and safety analysis of voriconazole in patients with a hematological malignant tumor based on the FAERS database: differences between children and adults by Hao Li, Hao Li, Manxue Jiang, Manxue Jiang, Xiaona Pan, Lingti Kong, Lingti Kong, Lingti Kong

“…The only positive SOC signal that satisfied all four algorithms simultaneously in children was “psychiatric disorders”, whereas in adults they were “endocrine disorders” and “hepatobiliary disorders”. …”
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Milk Composition Is Predictive of Low Milk Supply Using Machine Learning Approaches by Xuehua Jin, Ching Tat Lai, Sharon L. Perrella, Xiaojie Zhou, Ghulam Mubashar Hassan, Jacki L. McEachran, Zoya Gridneva, Nicolas L. Taylor, Mary E. Wlodek, Donna T. Geddes

“…<b>Results:</b> Among the six machine learning algorithms tested, deep learning and gradient boosting machines methods had the best performance metrics. …”
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Adverse drug events (ADEs) risk signal mining related to eculizumab based on the FARES database by Xi-Feng Wang, Lu-Ri Bao, Ta-La Hu, Rui-Feng Xu, Wu-Niri Gao, Jing-Yuan Wang, Jian-Rong Zhao, Zhen-Li Fu, Shu-Fang Wang, Yan Meng

“…A total of 461 PTs were identified as satisfying by all four algorithms. These PTs reported adverse reactions consistent with the specifications, such as fatigue, nasopharyngitis, meningococcal infection, fever, and anemia. …”
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Predicting the exposure of mycophenolic acid in children with autoimmune diseases using a limited sampling strategy: A retrospective study by Ping Zheng, Ting Pan, Ya Gao, Juan Chen, Liren Li, Yan Chen, Dandan Fang, Xuechun Li, Fei Gao, Yilei Li

“…This study aims to use machine learning and deep learning algorithms to develop a prediction model of MPA exposure for pediatric autoimmune diseases with optimizing sampling frequency. …”
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A Survey on Reconfigurable Intelligent Surface for Physical Layer Security of Next-Generation Wireless Communications by Ravneet Kaur, Bajrang Bansal, Sudhan Majhi, Sandesh Jain, Chongwen Huang, Chau Yuen

“…For multiple-input single-output (MISO) case, PLS strategies such as inducing artificial noise (AN), optimization algorithms, alternating optimization (AO), machine learning (ML) and deep learning (DL), and reflect matrices are discussed. …”
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Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics by F. Cadini, E. Zio, N. Pedroni

“…Artificial neural networks are powerful algorithms for constructing nonlinear empirical models from operational data. …”
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Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method by Xiao-Yan Gao, Abdelmegeid Amin Ali, Hassan Shaban Hassan, Eman M. Anwar

“…The comparison between machine learning algorithms and ensemble learning methods is applied to selected features. …”
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