Showing 1,941 - 1,960 results of 5,488 for search 'decision three algorithm', query time: 0.14s Refine Results
  1. 1941
  2. 1942
  3. 1943

    Electrical Grounding Fault Prediction of EMU Traction Motor by Xuemiao PANG, Chunxing PEI, Chunguang YAN, Dongxing WANG, Jie JIANG

    Published 2021-07-01
    “…It shows that the prediction accuracy of the three algorithms is higher than 84% at all. And comparing with RBF neural network and support vector machine, decision tree has higher prediction accuracy and reaches 85.6%. …”
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    Article
  4. 1944

    Digital Twin Based on CFD Modelling for Analysis of Two-Phase Flows During Pipeline Filling–Emptying Procedures by Duban A. Paternina-Verona, Oscar E. Coronado-Hernández, Vicente S. Fuertes-Miquel, Manuel Saba, Helena M. Ramos

    Published 2025-02-01
    “…ML models trained with experimental and CFD data reduce reliance on computationally expensive CFD simulations. Among the 31 algorithms tested, decision trees, efficient linear models, and ensemble classifiers achieved 100% accuracy for filling processes, while k-Nearest Neighbours (KNN) provided 97.2% accuracy for emptying processes. …”
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    Article
  5. 1945
  6. 1946
  7. 1947

    Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

    Published 2025-01-01
    “…We transform the primal problem into a Markov decision process (MDP) for the single-agent DRL framework and a decentralized partially-observable Markov decision process (Dec-POMDP) for the multi-agent DRL framework. …”
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    Article
  8. 1948

    A Systematic Literature Review on Load-Balancing Techniques in Fog Computing: Architectures, Strategies, and Emerging Trends by Danah Aldossary, Ezaz Aldahasi, Taghreed Balharith, Tarek Helmy

    Published 2025-06-01
    “…The analysis reveals that three-layer (IoT–Fog–Cloud) architectures remain predominant, with dynamic clustering and virtualization commonly employed to enhance adaptability. …”
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    Article
  9. 1949
  10. 1950

    Analysis of informativeness of features of classification of dangerous weather events based on radar observation results by O. V. Vasiliev, E. S. Boyarenko, A. N. Savelyev, N. V. Gorbachev

    Published 2024-07-01
    “…The classification criterion based on the maximum probability functional was chosen to determine the structure of classification algorithms and decision rules. At the same time under the acceptable confidence is accepted the value of the probability of correct classification not lower than 0.8. …”
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    Article
  11. 1951

    An evolution of forensic linguistics: From manual analysis to machine learning – A narrative review by R. Thamizh Mani, Vikram Palimar, Mamatha Shivananda Pai, T.S. Shwetha, M. Nirmal Krishnan

    Published 2025-07-01
    “…This narrative review clarifies three core objectives: (1) tracing the field’s historical trajectory from early manual techniques to computational innovations, (2) systematically comparing the accuracy, efficiency, and reliability of manual versus ML-based approaches, and (3) identifying persistent challenges in ML integration, including algorithmic bias and legal admissibility. …”
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    Article
  12. 1952
  13. 1953
  14. 1954

    Developing and validating a machine learning-based model for predicting in-hospital mortality among ICU-admitted heart failure patients: A study utilizing the MIMIC-III database by De Su, Jie Zheng, Yue-kai Shao, Jun-ya Liu, Xin-xin Liu, Kun Yu, Bang-hai Feng, Hong Mei, Song Qin

    Published 2025-04-01
    “…Background Although the assessment of in-hospital mortality risk among heart failure patients in the intensive care unit (ICU) is crucial for clinical decision-making, there is currently a lack of comprehensive models accurately predicting their prognosis. …”
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    Article
  15. 1955
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  20. 1960