Field Development Optimization for Low-Productivity Gas Wells under Intermittent Production by Wei Tian, Yi Liu, Xuri Li, Youliang Jia, Yixuan Wang, Li Li, Zhengyan Zhao, Weihong Ding, Wenxin Zhou, Wenyue Sun

“…Therefore, an optimization method for intermittent gas wells based on particle swarm optimization (PSO) algorithm and deep-learning model is proposed. The PSO algorithm determines the optimal schedule, while the deep-learning model forecasts key cycle parameters for these potential schedules. …”
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QoE-Driven Big Data Management in Pervasive Edge Computing Environment by Qianyu Meng, Kun Wang, Xiaoming He, Minyi Guo

“…Our simulation results reveal that our proposed algorithm can achieve high QoE performance.…”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…The proposed approach combines a transformer-based encoder trained with a triplet-based contrastive learning objective and the classical density-based clustering algorithm DBSCAN, enabling strong feature extraction, efficient and interpretable feature space organization and simple clustering algorithm. …”
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Cluster analysis of digital competencies among professors in higher education by Karime Chahuán-Jiménez, Eduardo Lara-Yergues, Dominique Garrido-Araya, Elena Salum-Alvarado, Paulina Hurtado-Arenas, Rolando Rubilar-Torrealba

“…Regarding the clustering analysis, specifically using the K-means clustering algorithm, four distinct clusters are identified based on the questionnaire scores, aligning with findings from Silhouette score and Quadratic error by number of clusters.DiscussionThis research reveals that professors in higher education span all four levels of competency as defined by the DigComEdu model, primarily falling within the intermediate levels of digital competencies. …”
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Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space by Chengzhong Deng, Zhuolun Niu, Chun Chen

“…The results show that the user-tracking algorithm of the user-tracking robot was accurate, with an average absolute error in the user-to-robot distance of 4 cm. …”
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DEPEND study protocol: early detection of patients with pancreatic cancer – a pilot study to evaluate the utility of faecal elastase-1 and 13C-mixed triglyceride breath test as scr... by Christopher D Byrne, Sam Wilding, Paul Remi Afolabi, Declan McDonnell, Victoria Goss, Jocelyn Walters, Zaed Z Hamady

“…This study will construct a predictive algorithm for PC, using two tests of pancreatic exocrine function, FE-1 test and the 13C-MTG breath test. …”
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Management of Energy Exchange Process on Metro Rolling Stock with On-Board Capacitive Energy Storage by Sulym A.O., Khozia P.O., Fomin O.V., Bahrov O.M.

“…The third task is to synthesize a control system for energy exchange pro-cesses on metro rolling stock with capacitive energy storage devices and an algorithm for its op-eration. The fourth task is to check the functioning of the synthesized control system and its op-erating algorithm. …”
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Refactoring BZIP2 on the new‐generation sunway supercomputer by Xiaohui Liu, Zekun Yin, Haodong Tian, Wubing Wan, Mengyuan Hua, Wenlai Zhao, Zhenchun Huang, Ping Gao, Fangjin Zhu, Hua Wang, Xiaohui Duan

“…This paper focuses on the design and realization of a parallelized BZIP2 algorithm tailored for deployment on the New‐Generation Sunway supercomputing platform. …”
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Analysis of the Impact of Big Data on E-Commerce in Cloud Computing Environment by Rongrui Yu, Chunqiong Wu, Bingwen Yan, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen

“…Secondly, considering the large amount of data in the e-commerce system and the complex calculation of the data mining algorithm, this paper uses MapReduce to realize the parallelization of the data mining algorithm and builds a Hadoop-based commodity recommendation subsystem on this basis. …”
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State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks by Li Zhang, Min Zheng, Dajun Du, Yihuan Li, Minrui Fei, Yuanjun Guo, Kang Li

“…Then, the particle swarm optimization (PSO) algorithm is used to optimize the kernel parameters. …”
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The optimization of consensus decision-making for a multi-microwave source system based on composite leader-follower clustering for intelligent agent-based joint heating temperatur... by Biao Yang, Baowei Song, Cheng Cheng, Youpeng Zhao, Haiqin Yang, Yuchen Li, Zhongyi He

“…Consensus decisions between multiple leader decision points were made through a weight allocation algorithm, achieving a dynamic balance between temperature control and temperature field optimization. …”
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Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy by Tao Hai, Ali Basem, As’ad Alizadeh, Pradeep Kumar Singh, Husam Rajab, Chemseddine Maatki, Nidhal Becheikh, Lioua Kolsi, Narinderjit Singh Sawaran Singh, H. Maleki

“…Three machine learning techniques—GMDH-type neural network, gene expression programming, and combinatorial algorithm—are applied to model dynamic viscosity and thermal conductivity as functions of the input variables. …”
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Analysis of methods for ischemic stroke region recognition on CT slices by Aleksandras Krylovas, Andrius Ušinskas, Virginija Gaigalaitė

“…Presented evaluation is completed by using an algorithm of fuzzy sets. Performed analysis of 20 methods with modifications showed, that gray level co-occurrence matrix method and hybrid method give highest rates. …”
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Interval Continuous Plant Identification from Value Sets by R. Hernández, J. A. García, C. Mañoso

“…Moreover, it is proven that given a value set, all the assigned polynomials of the vertices can be determined if and only if there is a complete edge or a complete arc lying on a quadrant. This algorithm is nonconservative in the sense that if the value-set boundary of an interval plant is exactly known, and particularly its vertices, then the Kharitonov rectangles are exactly those used to obtain these value sets.…”
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Implementation of a Three-Dimensional Pedometer Automatic Accumulating Walking or Jogging Motions in Arbitrary Placement by Jia-Shing Sheu, Wei-Cian Jheng, Chih-Hung Hsiao

“…The user’s motion state is calculated using a walk/run mode switching algorithm.…”
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Optimization of Gain, Impedance, and Bandwidth of Yagi-Uda Array Using Particle Swarm Optimization by Munish Rattan, Manjeet Singh Patterh, B. S. Sohi

“…It is a global optimization technique-like genetic algorithm (GA) but has less computational cost compared to GA. …”
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The use of technical vision in flexible production systems to determine coordinates of randomly located objects by K. V. Averkov, D. S. Makashin

“…The article is devoted to the development of an object recognition algorithm using technical vision using Python and the OpenCV computer vision library. …”
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Construction of Fusion Frame Systems in Finite Dimensional Hilbert Spaces by Jinsong Leng, Tingzhu Huang

“…We first investigate the construction of a fusion frame system in a finite-dimensional Hilbert space 𝔽n when its fusion frame operator matrix is given and provides a corresponding algorithm. The matrix representations of its local frame operators and inverse frame operators are naturally obtained. …”
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Fractional Integration via Picard Method for Solving Fractional Differential-Algebraic Systems by Susan H. Mohammad, Abdulghafor Mohammed Al-Rozbayani

“…By comparing the results with the exact solution, it was found that this method is highly efficient for finding solutions. Also, a genetic algorithm (GA) was used to speed up the approximate solutions when choosing the best values for the fractional derivative, which increased the efficiency of Picard’s fractional integral method in finding the best solutions. …”
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An improvement on the efficiency bounds and efficiency classifications in DEA with imprecise data by Bohlool Ebrahimi, Duško Tešić

“…To overcome the problems, we propose a simple, practical algorithm to estimate the expected value of efficiencies, which is inspired by considering the DEA axioms to the imprecise data.…”
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