Development of a numerical algorithm for solving the problem of processing and determining the basic velocity model by A. E. Shumeyko, V. A. Tsygankov

“…This work is devoted to development of an automatic algorithm for determining the velocity model from the data of the field seismic profile. …”
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Transparency and Algorithmic Oversight in the Digital Workplace: Legal Challenges under Directive 2024/2831 by Monika Tomaszewska

“…The present study analyses those judgments of the Court of Justice of the European Union relevant to determining the employment status of platform workers, as well as to algorithmic transparency and oversight. The article also examines judicial rulings and administrative decisions, primarily from Spain and Italy, which have significantly shaped the European regulatory approach to platform work. …”
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High-Throughput Satellite Precoding Algorithm Based on Non-Ideal Channel State Information by Yingzhe DOU, Guanchang XUE, Mingchuan YANG

“…In order to suppress co-channel interference caused by frequency reuse, high-throughput satellite communication systems have begun to study ground interference suppression technologies, including multi-user detection technology applied in the reverse link and precoding technology applied in the forward link.A forward link model was established that took into account the eff ects of free space loss, rain attenuation, and beam gain.Based on the non-ideal channel state information model, the minimum mean square error precoding algorithm was improved, and an improved minimum mean square error precoding algorithm suitable for non-ideal channel state information was proposed.The satellite precoding algorithm considered adopted a more accurate channel model with irrational channel information, and incorporated the non-ideal channel state information into the precoding algorithm and eliminated it.The simulation results showed that the high-throughput satellite precoding algorithm could signifi cantly improved the throughput of the system under the condition of non-ideal channel state information, and also improved the robustness of the system.…”
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Research on cloud computing resource allocation strategy based on improved ant colony algorithm by Liu Dengming, Jing Junfeng, Liu Kai, Fang Zhiqi

“…And at the same time, the task completion time is too long, and the number of algorithm iterations is too large. This situation will not only greatly reduce the efficiency of the cloud computing system, but also cause system instability. …”
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Evaluation of College Students’ Emergency Response Capability Based on Questionnaire-TOPSIS Innovative Algorithm by Yanyan Liu, Wei Zhou, Yang Song

“…The complexity of the diversified university environment also greatly increases the frequency of campus crisis incidents. …”
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An Improved Centralized Cognitive Radio Network Spectrum Allocation Algorithm Based on the Allocation Sequence by Jianli Zhao, Jinsha Yuan

“…Thus, the spectrum allocation technology of the cognitive radio has also been more and more broadly concerned. In order to avoid the interference, a mathematical model of spectrum allocation for cognitive radio spectrum allocation algorithm is established through a graph theory. …”
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An empty-nest power user identification method based on weighted random forest algorithm by Zimeng LU, Jiayi CHEN, Jing LI, Yue XIE, Xinli JIANG, Lei HAN, Qian GUO

“…In view of the lack of effective technical means for the identification of empty-nesters by the government and the society,an empty-nesters prow user identification method based on weighted random forest algorithm was proposed.Firstly,some accurate labels of empty-nest users were obtained through questionnaires,and electricity characteristic library was drawn from three aspects:electricity consumption level,electricity consumption fluctuation and electricity consumption trend.Due to the data imbalance between empty-nest and non-empty-nest users,the weighted random forest algorithm was used to improve the data sensitivity phenomenon of machine learning.Finally,the algorithm model was put online in the power company’s acquisition system.The 2 000 unknown users of various types were identified,among which the identification accuracy of empty-nest users was 74.2%.The results show that the identification of empty-nesters from the perspective of electricity consumption can help power grid companies to understand the personalized and differentiated needs of empty-nesters,so as to provide users with more sophisticated services,and also assist the government and society to carry out assistance work.…”
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Algorithm of Random Start Phase Correction and Frequency Offset in the Communication System with the Quadrature Modulation by A. L. Matiouchkov, I. N. Zhuk

“…This algorithm also solves the problem of carrier frequency error offset. …”
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A Huang Clan Correction Image Reconstruction Algorithm For Electrical CapacitanceTomography System by CHEN Yu, LI Hong-yu

“…To solve the ‘soft-field’nature and the ill-posed problem in electrical capacitance tomography technology，a Huang clan correction image reconstruction algorithm for electrical capacitance tomography is presented. …”
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Performance Analysis of Conventional Beamforming Algorithm for Angle-of-Arrival Estimation under Measurement Uncertainty by Eun-Kyung Lee, Joon-Ho Lee

“…The performance of the conventional beamforming for angle-of-arrival (AOA) estimation algorithm under measurement uncertainty is analyzed. …”
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Heart failure with preserved ejection fraction: the role of diastolic stress test in diagnostic algorithms by E. N. Pavlyukova, D. A. Kuzhel

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A Hybrid Algorithm for Multi-Beam Steering of LCOS-Based Wavelength Selective Switch by Yunshu Gao, Zhongwei Tan, Xiao Chen, Genxiang Chen

“…In this paper, a three-step hybrid algorithm including IFTA, Symmetrical IFTA with both phase and amplitude freedoms (SIFTA-2) and Genetic algorithm (GA) is developed to optimize the multi-casting hologram and experimentally demonstrated the multi-casting function of WSS. …”
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Dynamic Interference Control in OFDM-Based Cognitive Radio Network Using Genetic Algorithm by Hamza Khan, Sang-Jo Yoo

“…In this paper, we propose a dynamic interference control method using the additive signal side lobe reduction technique and genetic algorithm (GA) in CR-OFDM systems. Additive signal side lobe reduction technique is based on adding a complex array to modulated data symbols in the constellation plane for side lobe reduction in OFDM system. …”
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Distributed Energy-Efficient Topology Control Algorithm in Home M2M Networks by Chao-Yang Lee, Chu-Sing Yang

“…By balancing energy consumption, topology maintenance also avoids the hot spot problem. Simulation results confirm the superior performance of the proposed algorithm for distributed energy-efficient topology control (DETC) in terms of energy efficiency and network lifetime in home M2M networks.…”
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A Multipopulation Firefly Algorithm for Correlated Data Routing in Underwater Wireless Sensor Networks by Ming Xu, Guangzhong Liu

“…Different groups of fireflies conduct their optimization in the evolution in order to improve the convergence speed and solution precision of the algorithm. Moreover, after the data packets are merged during the process of routing path finding, MFA can also eliminate redundant information before they are sent to the sink node, which in turn saves energy and bandwidth. …”
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Smart Energy Management for Hybrid Systems: A Genetic Algorithm in Response to Market Volatility by Dácil Díaz-Bello, Carlos Vargas-Salgado, Jesús Águila-León, David Alfonso-Solar

“…The methodology also includes a sensitivity analysis, comparing Stable vs. …”
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Hybrid Fuzzy Centroid with MDV-Hop BAT Localization Algorithms in Wireless Sensor Networks by Chakchai So-In, Weerat Katekaew

“…This hybrid scheme employs an extra weight with signal normalization derived from a fuzzy logic function in Centroid. The research also integrates a BAT algorithm of the modified DV-Hop. …”
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Comparison of Deep Neural Networks and Random Forest Algorithms for Multiclass Stunting Prediction in Toddlers by Wulan Sri Lestari, Yuni Marlina Saragih, Caroline

“…This study aims to compare the performance of multiclass stunting prediction models using two machine learning algorithms: Deep Neural Networks and Random Forest. …”
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K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm by Maaeda Mohsin Rashid

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A Sufficient Descent 3-Term Conjugate Gradient Method for Unconstrained Optimization Algorithm by Ghada Moayid Al-Naemi, Samaa AbdulQader

“… In recent years, 3-term conjugate gradient algorithms (TT-CG) have sparked interest for large scale unconstrained optimization algorithms due to appealing practical factors, such as simple computation, low memory requirement, better sufficient descent property, and strong global convergence property. …”
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