Numerical and experimental study of the behavior of a protective structure under impact by D. A. Tarasov

“…The proposed numerical algorithm was used to determine the minimum permissible cross-sectional area of steel ropes based on the requirements for a protective structure in terms of resistance to impact caused by the collision of a car with a given mass and speed. …”
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Autonomous Streaming Space Objects Detection Based on a Remote Optical System by V. S. Baranova, V. A. Saetchnikov, A. A. Spiridonov

“…Under laboratory conditions, the satellite trajectory had simulated for an initial assessment of the compiled algorithmic modules of the computer vision library OpenCV.Based on the simulation results, dynamic detection of the International Space Station in real-time from the observation site with coordinates longitude 25o41′49″ East, latitude 53o52′36″ North in the interval 00:54:00–00:54:30 17.07.2021 (UTC + 03:00) had performed. …”
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Enablers and barriers to community pharmacists' readiness to implement deprescribing of inappropriate medications for older adults in Qatar. by Marwa Elshazly, Sondus Jawad, Ayesha Ahmed, Hager ElGeed, Kazeem Babatunde Yusuff

“…The top-ranked enablers of community pharmacists' readiness to implement deprescribing were exposure to CPD on the use of deprescribing toolkits and algorithm, interprofessional collaboration with physicians and shared electronic patient record. …”
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Why and how to create training sessions in the form of a game at a university? by Mariia I. Sharko

“…The generalization of work experience made it possible to determine the algorithm and methods for creating training sessions in a game form, techniques for providing the necessary pedagogical conditions to overcome the shortcomings of the game form. …”
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A Clustering and SVM Regression Learning-Based Spatiotemporal Fuzzy Logic Controller with Interpretable Structure for Spatially Distributed Systems by Xian-xia Zhang, Jun-da Qi, Bai-li Su, Shi-wei Ma, Hong-bo Liu

“…Thirdly, the consequent parameters are learned by a linear SVM regression algorithm. Additionally, the universal approximation capability of the proposed 3-D fuzzy system is discussed. …”
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Condition Monitoring of Marine Diesel Lubrication System Based on an Optimized Random Singular Value Decomposition Model by Shuxia Ye, Bin Da, Liang Qi, Han Xiao, Shankai Li

“…The first section addresses advanced data preprocessing, where the Improved Sparrow Search Algorithm (ISSA) is employed to optimize the parameters of Random Singular Value Decomposition (RSVD). …”
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IDENTIFICATION OF NOMINAL DYNAMIC CHARACTERISTICS OF AIRCRAFT GAS TEMPERATURE SENSORS by A. F. Sabitov, I. A. Safina

“…The aim of the study was to develop methods of recalculation of a test results of a limited number of gas temperature sensors that were received at certified airflow equipment and to get nominal dynamic characteristics of a particular type of gas temperature sensors in the anticipated operating conditions.This study offers the algorithm for the identification of the nominal dynamic characteristics of gas temperature sensors that are used to measure the temperature of gases in aircraft gas turbine engines. …”
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TEACHING COMPUTATIONAL THINKING IN SAUDI ARABIAN SCHOOLS USING SMARTPHONE APPS by Abdullah Alenezi

“…Computational thinking, encompassing problem-solving, computational logic, and algorithmic thinking, is an essential skill in the modern world. …”
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Design and Implementation of Hybrid GA-PSO-Based Harmonic Mitigation Technique for Modified Packed U-Cell Inverters by Hasan Iqbal, Arif Sarwat

“…The proposed hybrid algorithm outperformed the standalone approaches of GA and PSO with respect to robustness and with precise harmonic suppression. …”
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Identifying Coronal Mass Ejection Active Region Sources: An Automated Approach by Julio Hernandez Camero, Lucie M. Green, Alex Piñel Neparidze

“…We present an automated algorithm for matching CMEs detected by the Large Angle Spectrometric Coronagraph with their source active regions, specifically Space Weather HMI Active Region Patches (SHARPs), between 2010 May and 2019 January. …”
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Predicting Energy and Emissions in Residential Building Stocks: National UBEM with Energy Performance Certificates and Artificial Intelligence by Carlos Beltrán-Velamazán, Marta Monzón-Chavarrías, Belinda López-Mesa

“…Our findings indicate that the XGBoost algorithm outperforms other techniques estimating building-level energy consumption and emissions. …”
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A MACHINE LEARNING DISTRACTED DRIVING PREDICTION MODEL by Samira AHANGARI, Mansoureh JEIHANI, Abdollah DEHZANGI

“…Here we investigated different optimization models to build the best BN in which a Genetic Search Algorithm obtained the best performance. As a result, we achieved a 67.8% prediction accuracy using our model to predict driver distraction. …”
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Optimization of carbon footprint management model of electric power enterprises based on artificial intelligence. by Liangzheng Wu, Kaiman Li, Yan Huang, Zhengdong Wan, Jieren Tan

“…Firstly, a carbon footprint calculation model based on big data and AI is established, and then machine learning algorithm is used to deeply mine the carbon emission data of power enterprises to identify the main influencing factors and emission reduction opportunities. …”
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Prediction Model of Soybean Meal Protein Content Based on Low-field Nuclear Magnetic Resonance and Near-infrared Data Fusion by REN Guo-wei, ZHENG Sheng-guo, LU Bing, LU Dao-li, CHEN Bin

“…The partial least squares method, BP (Back Propagation) neural network and Sparrow Search Algorithm (SSA) were employed to optimize the BP neural network (SSA-BP). …”
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The joint policy of production, maintenance, and product quality in a multi-machine production system by reinforcement learning and agent-based modeling by Mohammad Reza Nazabadi, Seyed Najafi, Ali Mohaghar, Farzad Movahedi Sobhani

“…The production system studied in this research has been modeled using the agent-based simulation, and the Reinforcement Learning (RL) algorithm has obtained the optimal integrated policy. …”
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Research on credit card transaction security supervision based on PU learning by Renfeng CHEN, Hongbin ZHU

“…The complex and ever-evolving nature of credit card cash out methods and the emergence of various forms of fake transactions present challenges in obtaining accurate transaction information during customer interactions.In order to develop an accurate supervision method for detecting fake credit card transactions, a PU (positive-unlabeled learning) based security identification model for single credit card transactions was established.It was based on long-term transaction label data from cashed-up accounts in commercial banks’ credit card systems.A Spy mechanism was introduced into sample data annotation by selecting million positive samples of highly reliable cash-out transactions and 1.3 million samples of transactions to be labeled, and using a learner to predict the result distribution and label negative samples of non-cash-out transactions that were difficult to identify, resulting in 1.2 million relatively reliable negative sample labels.Based on these samples, 120 candidate variables were constructed, including credit card customer attributes, quota usage, and transaction preference characteristics.After importance screening of variables, nearly 50 candidate variables were selected.The XGBoost binary classification algorithm was used for model development and prediction.The results show that the proposed model achieve an identification accuracy of 94.20%, with a group stability index (PSI) of 0.10%, indicating that the single credit card transaction security identification model based on PU learning can effectively monitor fake transactions.This study improves the model discrimination performance of machine learning binary classification algorithm in scenarios where high-precision sample label data is difficult to obtain, providing a new method for transaction security monitoring in commercial bank credit card systems.…”
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Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation by Yong Wang, Hongguo Cai, Yinghua Liao, Jun Gao

“…As for such differences, this paper adopts intelligent algorithm to design the parameters of the transmission system and introduces the genetic algorithm into the optimization design of parameters to obtain the optimal vital parameters of the power transmission system based on computer simulation. …”
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Asymptotic analysis of mathematical model describing a new treatment of breast cancer using AZD9496 and palbociclib by Ophir Nave, Ophir Nave

“…Therefore, in order to reveal the hierarchy of the system of equations ,a numerical algorithm called the singularly perturbed vector field (SPVF) was applied. …”
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How Do We Treat Children with Anterior Cutaneous Nerve Entrapment Syndrome and Is the Biopsychosocial Model Also Being Applied? A Scoping Review by Anke P. C. Top, Thomas G. de Leeuw, Wichor M. Bramer, Bernadette C. M. de Mol, Frank J. P. M. Huygen, Maaike Dirckx

“…More research is needed to establish an evidence-based treatment algorithm for patients with this challenging pain problem. …”
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Enhancing Sarcopenia Prediction Through an Ensemble Learning Approach: Addressing Class Imbalance for Improved Clinical Diagnosis by Dilmurod Turimov, Wooseong Kim

“…Subsequently, a classifier selection algorithm was employed to select models that provided an optimal balance of diversity and performance. …”
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