Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms by Abdul Aabid, Md Abdul Raheman, Meftah Hrairi, Muneer Baig

“…On the other hand, machine learning (ML) has made it possible to employ a variety of approaches for mechanical and aerospace problems and such significant approach is the repair mechanism and hence ML algorithms used to enhance in the present work. The current work investigates the effect of the single-sided composite patch bonded on a thin plate under plane stress conditions. …”
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Optimized Wavelet Transform for the Development of an Algorithm Designed for the Analysis of Digital Substation Electrical Equipment Parameters by Alexander S. Efimov, Stanislav A. Eroshenko, Pavel V. Matrenin, Vladislav V. Popovtsev

“…The rapid digitalization of and increasing data volumes from substations, coupled with the inability to retrofit outdated equipment with modern sensors, underscore the necessity for algorithms that analyze the operational parameters of digital substations based on key power system metrics such as current and voltage. …”
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Ascertaining sustainability for affordable energy generation with non-renewable sources using computational intelligence algorithm by Adil O. Khadidos, Hariprasath Manoharan, Alaa O. Khadidos, Shitharth Selvarajan, Hamed Alsufyani, Fuhid Alanazi

“…Hence in the proposed method importance of non-renewable sources are analyzed by using computational intelligence algorithm where the likelihood of energy availability is observed. …”
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INFORMATIONAL AND ALGORITHMIC SUPPORT FOR DISTRIBUTION AND MARkETING LOGISTICS CONTROL SySTEMS OF PHARMACEUTICAL ENTERPRISES by A. V. Kostrov, V. F. Kornyushko, S. Kaybullaeva, O. M. Nikolaeva

“…Informational models and control algorithms models for separate functional modules of the pharmaceutical enterprises distribution and supply logistics management are considered in the article. …”
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Application of Optimal Scheduling Model Based on Improved Genetic Algorithm in Electric Power Mobile Operation by Rui Fan, Huiying Jing, Zhixin Jing

“…In order to solve the current situation, an optimized scheduling model for power mobile jobs based on improved genetic algorithm is proposed. …”
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Series Arc Fault Detection Based on Improved Artificial Hummingbird Algorithm Optimizer Optimized XGBoost by Lichun Qi, Takahiro Kawaguchi, Seiji Hashimoto

“…Based on the wide variety of electrical appliances, it is difficult to detect similar current waveforms when different appliances experience arc faults due to insufficient extraction of fault arc characteristics and low detection accuracy. …”
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A Machine Learning Algorithm for Supplier Credit Risk Assessment Based on Supply Chain Management by Yuqian Wei

“…A creditor’s capability to pay the current lender’s obligations is considered while doing a lender’s threat assessment. …”
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Machine Learning Algorithm for Assessing Photovoltaic Panels Partial Shading Losses based on Inverter Data by Armando Luís Sousa Araujo, Tiago Francisco Pires

“…The predicted power is calculated using the measured panel irradiance, current, and voltage using a photovoltaic panel electric circuit model. …”
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Multi-task snake optimization algorithm for global optimization and planar kinematic arm control problem by Qingrui Li, Yongquan Zhou, Qifang Luo

“…Based on this decision, the algorithm either transfers elite knowledge from other tasks or updates the current task through self-perturbation. …”
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Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D by Yijun WANG, Youxu ZHANG, Dakun LIU, Guifen CHEN

“…In ultra-dense D2D communication, the current relay selection schemes mainly assume that the relay device has the initiative to participate in data forwarding, but some rational relay devices may delay or refuse to forward due to their own considerations, thus affecting the user experience.From the perspective of selfish behavior of relay devices, a method to identify selfish relay devices in D2D communication was proposed, and then an ultra-dense D2D relay selection algorithm based on selfish behavior analysis was proposed.Firstly, three relay identification attribute factors, namely joint interest degree (JID), forwarding history ratio (FHR) and relay physical state (RPS) were defined, and their weights were calculated by triangular fuzzy function to identify relay devices with selfish behavior.Secondly, based on the TOPSIS (technique for order of preference by similarity to ideal solution) method, the final relay equipment selection scheme relay was realized.Simulation results show that the proposed algorithm can identify selfish relay devices more effectively in D2D communication.Compared with other relay selection algorithms, the proposed algorithm has made significant progress in the aspects of D2D communication forwarding success rate, system average throughput and average time delay.…”
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High-Performance Mobility Simulation: Implementation of a Parallel Distributed Message-Passing Algorithm for MATSim by Janek Laudan, Paul Heinrich, Kai Nagel

“…Benchmarking reveals a 119-fold improvement in execution speed over the current implementation, and a 43 times speedup when compared to single-core performance. …”
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Structural Optimization of Disk Diffusers Based on Radial Basis Functions and Multi-Island Genetic Algorithms by Mengchao Liu, Jianing Fan

“…A multi-island genetic algorithm is then applied to optimize the RBF surrogate models. …”
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Position Accuracy Improvement of the Inertial Navigation System using LSTM Algorithm without GNSS Signals by Mohammad Sabzevari, MasoudReza Aghabozorgi Sahaf

“…Currently, satellite navigation systems on cars provide a promising means of making these vehicles unmanned in the future. …”
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An energy-saving virtual machine scheduling algorithm for resource management based on cloud computing technology by Liangyu Zhang

“…To solve the problem of imbalanced resource load in virtual machine clusters, an energy-saving virtual machine scheduling algorithm based on cloud computing technology for resource management is proposed. …”
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Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm. by Yonggang Huang, Teng Teng, Yuanyuan Li, Minghao Zhang

“…The current approach to data access control predominantly utilizes blockchain technology. …”
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Development, Verification and Assessment of a Laser Profilometer and Analysis Algorithm for Microtexture Assessment of Runway Surfaces by Gadel Baimukhametov, Greg White

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Measurement of the Efficiency of Parallel Genetic Algorithm for Compress and Decompression of Fractal Imaging Using Multiple Computers by Shahla Abdul Qadir

“…The research aims at using the Parallel Genetic Algorithm (PGA) by the technology of the (Manager/Worker) in parallel computers to obtain  best and quickest compress for images by  coding the site of the searching domain block with a Gray code and a fitness function that minimizes the space  between the matching of the current range block with the searching  domain block  in order  to choose  a protection strategy and compress of high accuracy of  images . …”
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Set-Based Differential Evolution Algorithm Based on Guided Local Exploration for Automated Process Discovery by Si-Yuan Jing

“…However, current evolutionary algorithms, such as GeneticMiner, ETM, and ProDiGen, converge slowly and in difficultly because all of them employ genetic crossover and mutation which have strong randomness. …”
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Advanced Cooperative Formation Control in Variable-Sweep Wing UAVs via the MADDPG–VSC Algorithm by Zhengyang Cao, Gang Chen

“…To address these challenges, this study presents an innovative framework that integrates dynamic modeling with morphing control, optimized by the multi-agent deep deterministic policy gradient for two-sweep control (MADDPG–VSC) algorithm. This approach enables real-time sweep angle adjustments based on current flight states, significantly enhancing aerodynamic efficiency and overall UAV performance. …”
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Movie Review Selection Algorithm Based on Improved Spherical Fuzzy Semantic DEMATEL and TODIM Methods by Qi Wang, Zi Xu, Weibo Rui, Yuan Zhao, Si Wang

“…In view of the abundance of movie reviews of varying quality available on movie review websites, current selection algorithms are ineffective, leading to ‘information overload.…”
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