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Showing 15,641 - 15,660 results of 17,151 for search '(predictive OR reduction) algorithms', query time: 0.35s Refine Results
  1. 15641

    The Principles of Examination of Patients with Detected Melanoma Suspected Skin Neoplasm in the Primary Health Care Stage by V. N. Larina, T. A. Gaydina, A. S. Dvornikov, K. E. Nazimkin

    Published 2022-03-01
    “…The significance of the criteria of the ABCDE algorithm, the “Argenziano” algorithm in the study of pigmented skin lesions with further analysis of the results by artificial intelligence for decision-making is discussed.…”
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    Article
  2. 15642

    Modelling maintenance scheduling strategies for highway networks. by Bao Tong, Jianwei Wang, Xue Wang, Feihao Zhou, Xinhua Mao, Yaxin Duan

    Published 2022-01-01
    “…A simulated annealing algorithm and augmented Lagrange algorithm are employed to solve the two proposed models, respectively. …”
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    Article
  3. 15643

    Computer Course Design Plan for Film and Television Media Major by Shan Hui, Xiao Zhang, Tian Yang

    Published 2023-01-01
    “…In view of the excellent global optimization ability of GA and the defects of the BP algorithm itself, this work adopts the improved GA algorithm to optimize the BP network, and establishes an IGA-BP network combination model with higher prediction accuracy. …”
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    Article
  4. 15644

    Dynamic scheduling strategies for cloud-based load balancing in parallel and distributed systems by Nasser S. Albalawi

    Published 2025-07-01
    “…The Least Response Time (LRT) technique for the Load Monitoring procedures will be developed once the job scheduling is complete. The Harmony Search Algorithm with Linear Regression (LR-HSA) is then used to do Distributed Computing-based Load Prediction and Adjustment. …”
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    Article
  5. 15645

    The Evolution of the Idiolect over the Lifetime: A Quantitative and Qualitative Study of French 19th Century Literature by Olga Seminck, Philippe Gambette, Dominique Legallois, Thierry Poibeau

    Published 2022-09-01
    “…After applying a feature selection algorithm, we examined the most important features, i.e. the motifs that have the greatest influence on idiolectal evolution. …”
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    Article
  6. 15646

    Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments by Faeiz Alserhani

    Published 2024-12-01
    “…Yet, it is equally important to predict and prevent any cyber-attacks that may compromise the integrity and security of the network infrastructure. …”
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    Article
  7. 15647

    The regulation of ant colony foraging activity without spatial information. by Balaji Prabhakar, Katherine N Dektar, Deborah M Gordon

    Published 2012-01-01
    “…The algorithm draws on our finding that the distribution of intervals between successive ants returning to the nest is a Poisson process. …”
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    Article
  8. 15648

    Experiential space analysis: scoring tranquil, social, and explorative places in habitable buildings by Rhys Goldstein, Nastaran Shahmansouri, Jeremy P. M. Mogk, Sebastian Herrera, Dianne Gault, Frederik Brudy, Michael Lee, Liviu Calin, Tomas Lay Herrera, Dagmara Szkurlat, Kean Walmsley

    Published 2025-06-01
    “…We observe that human evaluators tend to assume relatively uniform experiential qualities within each space of each apartment, whereas our algorithm often predicts a gradient of highly tranquil, social, and explorative places even within the same room. …”
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    Article
  9. 15649

    An Energy-Domain IR NUC Method Based on Unsupervised Learning by Ting Li, Xuefeng Lai, Sheng Liao, Yucheng Xia

    Published 2025-01-01
    “…The maximum change in the image corrected using the proposed algorithm was 1.29%.…”
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    Article
  10. 15650

    Modelling the Shear-Tension Coupling of Woven Engineering Fabrics by F. Abdiwi, P. Harrison, W. R. Yu

    Published 2013-01-01
    “…Finally, the effectiveness of the method is evaluated and shown to provide qualitatively good predictions.…”
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    Article
  11. 15651

    Modelling of organizational and technological operation reliability of excavator sets by O. V. Demidenko, S. M. Kuznetsov, N. E. Alekseev

    Published 2017-08-01
    “…This authors propose an algorithm for estimating the operation reliability of complexes, sets and separate machines using statistical information based on the results od full-scale tests or modeling of their operation by Monte Carlo`s method. …”
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    Article
  12. 15652

    LOGIC SIMULATION OF LIFE SUPPORT SYSTEM COMPONENT IN REAL TIME by A. S. Marchenko, A. B. Sulin

    Published 2016-07-01
    “…The article proposed the use of simulation methods for evaluating the effectiveness of a stepped fan engine speed control while maintaining the air flow volume in the set boundaries of the «fan-filter» system. A detailed algorithm of the program made on the basis of an Any Logic software package. …”
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    Article
  13. 15653

    A recurrent sigma pi sigma neural network by Fei Deng, Shibin Liang, Kaiguo Qian, Jing Yu, Xuanxuan Li

    Published 2025-01-01
    “…Abstract In this paper, a novel recurrent sigma‒sigma neural network (RSPSNN) that contains the same advantages as the higher-order and recurrent neural networks is proposed. The batch gradient algorithm is used to train the RSPSNN to search for the optimal weights based on the minimal mean squared error (MSE). …”
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    Article
  14. 15654

    Message forwarding based on periodically evolving social characteristics in opportunistic mobile networks by Yong-feng HUANG, Yong-qiang DONG, San-feng ZHANG, Guo-xin WU

    Published 2015-03-01
    “…Moreover, a social-aware routing algorithm, PerEvo, was then designed based on them. …”
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    Article
  15. 15655

    Apple Variety Identification Using Near-Infrared Spectroscopy by Caihong Li, Lingling Li, Yuan Wu, Min Lu, Yi Yang, Lian Li

    Published 2018-01-01
    “…Especially, the SPA-ELM model could reach 98.33% identification accuracy on the calibration set and 96.67% on the prediction set. This study suggests that it is feasible to identify apple variety and cultivation region by using NIR spectroscopy.…”
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    Article
  16. 15656

    A Penalized Orthogonal Kriging Method for Selecting a Global Trend by Xituo Zhang, Guoxing Gao, Jianxin Zhao, Xinmin Li

    Published 2025-04-01
    “…Furthermore, an efficient algorithm is given to select the correct mean function. …”
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    Article
  17. 15657

    Imaging in Patients with Merkel Cell Carcinoma by Elisabeth Enzenhofer, Philipp Ubl, Christian Czerny, Boban M. Erovic

    Published 2013-01-01
    “…Accurate assessment of nodal involvement in patients with MCC predicts significantly overall outcome (Smith et al., 2012 and Ortin-Perez et al., 2007). …”
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  18. 15658

    Variable Speed Limit Strategies Based on the Macro Hierarchical Control Traffic Flow Model by Shubin Li, Tao Wang, Hualing Ren, Baiying Shi, Xiangke Kong, Jianyong Chai, Xuejuan Wang

    Published 2021-01-01
    “…A solution algorithm is further developed to find the optimal parameters of VSL by minimizing the total travel time and delay. …”
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    Article
  19. 15659

    Clinical Pathways Guided by Remotely Monitoring Cardiac Device Data: The Future of Device Heart Failure Management? by Joanne K Taylor, Fozia Zahir Ahmed

    Published 2023-04-01
    “…As standalone diagnostic tools, individual physiological metrics and algorithm-based systems have demonstrated utility in predicting future events, but the integration of remote monitoring data with existing clinical care pathways for device HF patients is not well described. …”
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    Article
  20. 15660

    Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble by Pedro Conde, Rui L. Lopes, Cristiano Premebida

    Published 2025-01-01
    “…Possible strategies to tackle this problem are two-fold: (i) models need to be highly accurate, consequently reducing this risk of failure; (ii) facing the impossibility of completely eliminating the risk of error, the models should be able to inform the level of uncertainty at the prediction level. As such, state-of-the-art DL models should be <italic>accurate</italic> and also <italic>calibrated</italic>, meaning that each prediction has to codify its confidence/uncertainty in a way that approximates the true likelihood of correctness. …”
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