Výsledky vyhledávání - algorithm resource-intensity

  1. 1

    Resource Intensity for Children and Youth: The Development of an Algorithm to Identify High Service Users in Children’s Mental Health Autor Stewart, Shannon L, Poss, Jeff W, Thornley, Elizabeth, Hirdes, John P

    ISSN: 1178-6329, 1178-6329
    Vydáno: London, England SAGE Publications 2019
    Vydáno v Health services insights (2019)
    “… The Resource Intensity for Children and Youth (RIChY) algorithm was a good predictor of service complexity in the derivation sample…”
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    Journal Article
  2. 2

    Methodology of industry scale analysis under the constraint of regional resource capacity using HSY algorithm Autor Mo, Hongpin, Wen, Zongguo, Chen, Jining

    ISSN: 0921-3449, 1879-0658
    Vydáno: Kidlington Elsevier B.V 01.09.2009
    Vydáno v Resources, conservation and recycling (01.09.2009)
    “… In the face of different data sources and even data scarcity, alternative methods based on linear programming and quadratic programming algorithms for calculating the resource intensity factors are designed…”
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    Journal Article
  3. 3

    The Emergency Severity Index (version 3) 5-Level Triage System Scores Predict ED Resource Consumption Autor Tanabe, Paula, Gimbel, Rick, Yarnold, Paul R, Adams, James G

    ISSN: 0099-1767, 1527-2966
    Vydáno: United States Mosby, Inc 01.02.2004
    Vydáno v Journal of emergency nursing (01.02.2004)
    “… A unique component of the ESI algorithm is prediction of resource consumption. Our objective was to validate the ESI version 3 triage algorithm in a clinical setting for the following outcome measures…”
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    Journal Article
  4. 4

    Machine Learning and Causal Approaches to Predict Readmissions and Its Economic Consequences Among Canadian Patients With Heart Disease: Retrospective Study Autor Rajkumar, Ethan, Nguyen, Kevin, Radic, Sandra, Paa, Jubelle, Geng, Qiyang

    ISSN: 2561-326X, 2561-326X
    Vydáno: Canada JMIR Publications 26.05.2023
    Vydáno v JMIR formative research (26.05.2023)
    “…) and resource intensity weight (RIW) value for a comprehensive economic perspective. This retrospective…”
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    Journal Article
  5. 5

    A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare Autor Velichko, Andrei

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 16.09.2021
    Vydáno v Sensors (Basel, Switzerland) (16.09.2021)
    “… and high resource intensity of the most known neural network data analysis methods and algorithms…”
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    Journal Article
  6. 6

    Resource Intensity Aware Job Scheduling in A Distributed Cloud Autor Huang, Daochao, Zhu, Chunge, Zhang, Hong, Liu, Xinran

    ISSN: 1673-5447
    Vydáno: China Institute of Communications 2014
    Vydáno v China communications (2014)
    “… of the algorithms in practice…”
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    Journal Article
  7. 7

    Physicians in health care management: 3. Case Mix Groups and Resource Intensity Weights: an overview for physicians Autor Pink, G H, Bolley, H B

    ISSN: 0820-3946
    Vydáno: Canada 15.03.1994
    “…) and Resource Intensity Weights (RIWs) are and how they are used. The former categorize hospital patients into groups…”
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    Journal Article
  8. 8

    REDUCING THE RESOURCE INTENSITY IN ANTNET FOR MOBILE AD-HOC NETWORKS Autor RAO, D. N. MALLIKARJUNA, PRASAD, V. KAMAKSHI

    ISBN: 9789814466332, 9789814289672, 9789814289771, 9814289779, 9814466336, 9814289671
    Vydáno: WORLD SCIENTIFIC 01.07.2009
    Vydáno v Computer And Network Technology (01.07.2009)
    “… The AntNet algorithm, as proposed by Di Caro and Dorigo is resource intensive algorithm. In this algorithm two types of ants are generated viz…”
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    Kapitola
  9. 9

    Patient classification and hospital reimbursement for inguinal hernia repair: a comparison across 11 European countries Autor Serdén, L., O’Reilly, J.

    ISSN: 1265-4906, 1248-9204, 1248-9204
    Vydáno: Paris Springer Paris 01.04.2014
    “…s. The analysis compared the variables and algorithms for classifying these patients to DRGs across the participating countries, as well as the number, composition…”
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    Journal Article
  10. 10

    Methodology for assessment of repair and restoring potential of real estate Autor Avilova, I P, Naumov, A E, Ursu, I V, Abakumov, R G

    ISSN: 1757-8981, 1757-899X
    Vydáno: Bristol IOP Publishing 01.12.2019
    “…Buildings and structures, as complex technological objects ensuring the effective functioning of a number the urban development environment social processes,…”
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    Journal Article
  11. 11

    Analysis of multi-resources leveling problem with changeable resource intensity Autor Hai-bin Guo

    ISBN: 142445140X, 9781424451401
    ISSN: 2152-7431
    Vydáno: IEEE 01.08.2010
    “…A new kind of multi-resources leveling model with changeable resource intensity is presented in this paper…”
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    Konferenční příspěvek
  12. 12

    混合微粒群算法在碾压混凝土坝"工期固定、资源均衡"优化中的应用 Autor 李红亮, 李双

    ISSN: 1007-2284
    Vydáno: 黄河勘测规划设计研究院有限公司,河南 郑州 450003 15.02.2025
    Vydáno v 中国农村水利水电 (15.02.2025)
    “…TV51%TV642.2; 为制定碾压混凝土坝资源均衡性更优的网络计划,以提高资源利用率、降低工程投资,提出把混合微粒群算法应用于碾压混凝土坝"工期固定、资源均衡"优化中.搭建以工…”
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    Journal Article
  13. 13

    On the Issue of Assessing the Possible Vulnerability of Users' Personal Data in Social Networks Autor Martyshkin, A. I.

    Vydáno: IEEE 05.09.2021
    “… Quality indicators are the time spent by the algorithm at all stages of the analysis, the resource intensity, and the accuracy of determining personal…”
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    Konferenční příspěvek
  14. 14

    Formal Model and Algorithm for Zero Knowledge Complex Network Traffic Analysis Autor Sinadskiy, Alexey, Domukhovskii, Nikolai

    Vydáno: IEEE 19.09.2022
    “… Method's refinement, which allows to reduce the resource intensity, is proposed in this work…”
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    Konferenční příspěvek
  15. 15

    Engineering calculation of a midwater fishing trawl Autor Razhev, Aleksey O., Nedostup, Aleksandr A.

    ISSN: 1998-8621, 2311-2255
    Vydáno: 01.02.2023
    “… The performance and resource intensity of the algorithm applied in the computer-aided design system for industrial…”
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    Journal Article
  16. 16

    Neural algorithm for optimization of multidimensional object controller parameters Autor Bałazy, Patryk, Lalik, Krzysztof, Knap, Paweł

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.09.2024
    Vydáno v Neural computing & applications (01.09.2024)
    “… Additionally, unlike the classical approach, the algorithm is adapted to directly analyze tabular data of inputs and outputs of the controlled model instead…”
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    Journal Article
  17. 17

    Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm Autor Mirmoradi, Mousa, Parashkoohi, Mohammad Gholami, Afshari, Hamed, Mohammadi, Ahmad

    ISSN: 2772-4271, 2772-4271
    Vydáno: Elsevier Ltd 01.03.2025
    Vydáno v Energy nexus (01.03.2025)
    “… in the production of cotton and canola through the application of the Imperialist Competitive Algorithm (ICA…”
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    Journal Article
  18. 18

    Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning Autor Kovari, Balint, Pelenczei, Balint, Becsi, Tamas

    Vydáno: IEEE 25.05.2022
    “… Finally, a comparison has to be conducted. This paper proposes that the Monte-Carlo Tree Search algorithm can be used to compare and rank the different reward strategies…”
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    Konferenční příspěvek
  19. 19

    Impact of environmental tax on green development: A nonlinear dynamical system analysis Autor Fan, Xinghua, Li, Xuxia, Yin, Jiuli

    ISSN: 1932-6203, 1932-6203
    Vydáno: United States Public Library of Science 04.09.2019
    Vydáno v PloS one (04.09.2019)
    “…With green development becoming a global movement, environmental tax has been adopted by many governments to promote green development. This study analyzes the…”
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    Journal Article
  20. 20

    Stochastic Optimization Methods for Modern Machine Learning Problems Autor Sun, Yuejiao

    ISBN: 9798516067525
    Vydáno: ProQuest Dissertations & Theses 01.01.2021
    “…Optimization has been the workhorse of solving machine learning problems. However, the efficiency of these methods remains far from satisfaction to meet the…”
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    Dissertation