Showing 501 - 520 results of 1,060 for search 'operator’s activity algorithm', query time: 0.12s Refine Results
  1. 501

    Application of Data Mining Methods in the Design and Creation of New Products and Services by A. A. Bryzgalov, E. V. Yaroshenko

    Published 2020-12-01
    “…After analyzing this information, the revealed knowledge is applied in the formation of new tariffs and services of the mobile operator. This method of extracting knowledge can also be applied to other large volumes of data from various fields of activity. …”
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    Article
  2. 502

    Proposal of a novel particle swarm optimization for constrained optimization problems (1st report: Basic study with benchmark problems) by So FUKUHARA, Nobuhisa KATSUMATA, Masao ARAKAWA

    Published 2025-04-01
    “…Particle swarm optimization is one of the most popular algorithms for solving the COPs due to the simplicity and efficient convergence performance, and various types of PSO are actively developed in recent years. …”
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    Article
  3. 503

    Mitochondrial-Localized Protein Transcript Abundance can Predict the Prognosis of Endometrial Carcinoma: A Retrospective Analysis by Weifei Liang, Hong Lin, Donglin Sun, Minghui Tang

    Published 2023-04-01
    “…Based on the expression levels of these 14 genes in each patient, we developed a new scoring algorithm. Compared with the traditional TNM classification system, the algorithm has better accuracy in predicting patient prognosis. …”
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    Article
  4. 504

    Autophagy crosstalk with the immune microenvironment in chronic myeloid leukemia and serves as a biomarker for diagnosis and progression by Fangmin Zhong, Fangyi Yao, Jing Liu, Qun Fang, Xiajing Yu, Bo Huang, Xiaozhong Wang

    Published 2025-05-01
    “…Three diagnostic ARGs (FOXO1, TUSC1, and ATG4A) were identified by support vector machine recursive feature elimination, least absolute shrinkage selection operator, and random forest algorithms, and the combined diagnostic efficiency of the three was further improved. …”
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    Article
  5. 505

    Base station sleep mechanism based on power consumption and energy cost balance by Dongsheng HAN, Bing ZHENG, Zhixiong CHEN

    Published 2017-07-01
    “…Deploying dense network in 5G system increases the number of nodes,which leads to a sharp increase in power consumption of wireless communication system,aggravates the economic burden of mobile network operator and exacerbates the emission of CO<sub>2</sub>.Therefore,considering the number of candidate base station (BS) group and the relative position of the BS supplied by new energy,a comprehensive power consumption model in wireless communication system was investigated in terms of the power consumption and economical level.A base station sleep algorithm based on power consumption and energy cost balance was proposed to achieve a tradeoff between them,which selected candidate groups according to the corresponding power consumption and then determined the active group by choosing the cheapest ones.Simulation results show that the proposed algorithm can significantly reduce energy cost of communication bases system although it leads to a negligible increase in power consumption.…”
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    Article
  6. 506

    Base station sleep mechanism based on power consumption and energy cost balance by Dongsheng HAN, Bing ZHENG, Zhixiong CHEN

    Published 2017-07-01
    “…Deploying dense network in 5G system increases the number of nodes,which leads to a sharp increase in power consumption of wireless communication system,aggravates the economic burden of mobile network operator and exacerbates the emission of CO<sub>2</sub>.Therefore,considering the number of candidate base station (BS) group and the relative position of the BS supplied by new energy,a comprehensive power consumption model in wireless communication system was investigated in terms of the power consumption and economical level.A base station sleep algorithm based on power consumption and energy cost balance was proposed to achieve a tradeoff between them,which selected candidate groups according to the corresponding power consumption and then determined the active group by choosing the cheapest ones.Simulation results show that the proposed algorithm can significantly reduce energy cost of communication bases system although it leads to a negligible increase in power consumption.…”
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    Article
  7. 507

    Accelerated Real-Time Simulations for Testing a Reactive Power Flow Controller in Long-Term Case Studies by Katja H. Sirviö, Mike Mekkanen, Kimmo Kauhaniemi, Hannu Laaksonen, Ari Salo, Felipe Castro, Davood Babazadeh

    Published 2020-01-01
    “…In order to test new algorithms in long-term study cases, real-time simulations or hardware-in-the-loop tests should be accelerated. …”
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    Article
  8. 508

    NET GRAF CALCULATION METHOD FOR JOB COMPLETION CONSIDERING OF RESOURSES AVAILABALE by G. V. Golovchenko, M. I. Rebezova

    Published 2017-06-01
    “…The known algorithms for critical path claiming suppose that the activity duration is given and the beginning of any activity is determined. …”
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    Article
  9. 509

    Associations between exposure to multiple environmental chemicals and metabolic syndrome: A mixture analysis by Ruiqiang Li, Xiaoyi Lin, Tingyu Lu, Jiao Wang, Ying Wang, Lin Xu

    Published 2024-12-01
    “…We used machine learning methods including Boruta algorithm and least absolute shrinkage and selection operator (LASSO) regression, combined with weighted quartiles sum (WQS) regression to investigate the associations of phenols, polycyclic aromatic hydrocarbons (PAHs), metals, and phthalates with MetS and its components. …”
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    Article
  10. 510

    Multimode Resource-Constrained Multiple Project Scheduling Problem under Fuzzy Random Environment and Its Application to a Large Scale Hydropower Construction Project by Jiuping Xu, Cuiying Feng

    Published 2014-01-01
    “…To deal with the uncertainties, a hybrid crisp approach is used to transform the fuzzy random parameters into fuzzy variables that are subsequently defuzzified using an expected value operator with an optimistic-pessimistic index. Then a combinatorial-priority-based hybrid particle swarm optimization algorithm is developed to solve the proposed model, where the combinatorial particle swarm optimization and priority-based particle swarm optimization are designed to assign modes to activities and to schedule activities, respectively. …”
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    Article
  11. 511

    Modeling and Optimization of Multiple Unmanned Aerial Vehicles System Architecture Alternatives by Dongliang Qin, Zhifei Li, Feng Yang, Weiping Wang, Lei He

    Published 2014-01-01
    “…Then the corresponding optimization problem and an efficient genetic algorithm with a refined crossover operator (GA-RX) is proposed to accomplish the architecting process iteratively in the rest of this paper. …”
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    Article
  12. 512

    Identification of neutrophil extracellular trap-related biomarkers in ulcerative colitis based on bioinformatics and machine learning by Jiao Li, Yupei Liu, Zhiyi Sun, Suqi Zeng, Caisong Zheng

    Published 2025-06-01
    “…To identify potential diagnostic biomarkers, we applied the Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine-Recursive Feature Elimination (SVM-RFE) model, and Random Forest (RF) algorithm, and constructed Receiver Operating Characteristic (ROC) curves to evaluate accuracy. …”
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    Article
  13. 513

    Data Processing Method in Medium Range Coastal Radar Complex by Dang Quang Hieu, Nguyen Xuan Truong

    Published 2018-06-01
    “…It provides solutions for such missions as command and control of maritime forces, border monitoring and control, prevention of illegal activities such as piracy, smuggling, illegal immigration, illegal fishing, supporting search and rescue (SAR) operations, and creates a common situation awareness picture of the Naval Theatre. …”
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    Article
  14. 514

    LYN and CYBB are pivotal immune and inflammatory genes as diagnostic biomarkers in recurrent spontaneous abortion by Zhuna Wu, Qiuya Lin, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Qirong Shi, Yumin Ke

    Published 2025-07-01
    “…The candidate DIIRGs were analyzed by the least absolute shrinkage and selection operator (LASSO) and the multiple support vector machine recursive feature elimination (mSVM-RFE). …”
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    Article
  15. 515

    Ray-Tracing method for fields of view simulation in agricultural and forestry vehicles by Lorenzo Landi, Luca Burattini, Maurizio Cutini, Leonardo Vita, Luca Landi

    Published 2025-03-01
    “… Fatal injuries represent a significant issue in activities involving agricultural machinery. The operator's low visibility is one of the main factors leading to such events. …”
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    Article
  16. 516

    Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms by Eike Petersen, Julia Sauer, Jan GraBhoff, Philipp Rostalski

    Published 2020-01-01
    “…The objective of this work is to provide a quantitative performance comparison of six previously proposed cardiac artifact removal algorithms operating on single-channel EMG measurements, and two newly proposed, improved versions of these algorithms. …”
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    Article
  17. 517

    DESIGNING THE INTEGRATED SYSTEM OF RISK MANAGEMENT AND INTERNAL CONTROL NECESSARY FOR MANAGERIAL DECISION-MAKING by Elvira I. Bakhtigozina

    Published 2017-09-01
    “…The article discusses key standard requirements to the system of internal control and puts forward the algorithm of building a reliable system of internal control, which could promote improvement of business organization, timely disclosing, preventing operational, finance and other risks and could allow management to take mature and opportune decisions. …”
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    Article
  18. 518

    ASSESSMENT OF THE BANK'S ELECTRONIC MONEY USING THE METHOD OF HIERARCHIES ANALYSIS by B. V. Samorodov, O. V. Melnychenko, N. S. Koshcheeva

    Published 2015-02-01
    “…In the article the methodological approach of using the analytic hierarchy method for evaluation of the effectiveness of bank operating with electronic money is proved. The basic stages of the analysis in accordance to this method’s algorithm are disclosed. …”
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    Article
  19. 519

    Research on Q-Learning-Based Cooperative Optimization Methodology for Dynamic Task Scheduling and Energy Consumption in Underwater Pan-Tilt Systems by Shan Tao, Lei Yang, Xiaobo Zhang, Shengya Zhao, Kun Liu, Xinran Tian, Hengxin Xu

    Published 2025-08-01
    “…Furthermore, departing from fixed-duration observation strategies, we introduce a Q-learning algorithm to optimize operational modes. The algorithm dynamically adjusts working modes based on surrounding biological activity frequency: employing a low-power mode (reduced energy consumption with lower monitoring intensity) during periods of sparse biological presence and switching to a high-performance mode (extended observation duration, higher energy consumption, and enhanced monitoring intensity) during frequent biological activity. …”
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    Article
  20. 520

    A temporal and spatial electric vehicle charging optimization scheme with DSO-EVA coordination framework by Tingting Xiao, Yonggang Peng, Chunyu Chen

    Published 2024-02-01
    “…On this basis, the modified adaptive multi-objective particle swarm optimization (AMOPSO) algorithm is proposed, including adaptive flight parameter adjustment and termination mechanisms. …”
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    Article