Showing 2,001 - 2,020 results of 22,159 for search '"learning"', query time: 0.11s Refine Results
  1. 2001
  2. 2002

    An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks by Feifan Wang, Baihai Zhang, Senchun Chai, Yuanqing Xia

    Published 2018-01-01
    “…In this paper, by means of fusing unsupervised extreme learning machines and the k-means clustering techniques, we propose a novel community detection method that surpasses traditional k-means approaches in terms of precision and stability while adding very few extra computational costs. …”
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    Article
  3. 2003
  4. 2004
  5. 2005

    Maximum Power Point Tracking of PV Grids Using Deep Learning by K. Rafeeq Ahmed, Farrukh Sayeed, K. Logavani, T. J. Catherine, Shimpy Ralhan, Mahesh Singh, R. Thandaiah Prabu, B. Bala Subramanian, Adane Kassa

    Published 2022-01-01
    “…In this paper, we develop a deep learning model using back propagation neural network (BPNN) that helps to obtain maximum power point. …”
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    Article
  6. 2006
  7. 2007

    Motor synergy and energy efficiency emerge in whole-body locomotion learning by Guanda Li, Mitsuhiro Hayashibe

    Published 2025-01-01
    “…Abstract Humans exploit motor synergies for motor control; however, how they emerge during motor learning is not clearly understood. Few studies have dealt with the computational mechanism for generating synergies. …”
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    Article
  8. 2008
  9. 2009

    Relationship between the perception of classroom learning environment and student academic emotions by Lira Fessia Damaianti, Risda Awaliya, Ifa Hanifah Misbach

    Published 2019-12-01
    Subjects: “…perception of classroom learning environment academic emotions learning model educational psychology…”
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    Article
  10. 2010

    Prediction of Transverse Reinforcement of RC Columns Using Machine Learning Techniques by Congzhen Xiao, Baojuan Qiao, Jianhui Li, Zhiyong Yang, Jiannan Ding

    Published 2022-01-01
    “…To establish the best transverse reinforcement ratio prediction model for RC columns, based on an experimental database consisting of 498 columns, 12 machine learning (ML) models are trained. To solve the over-fitting problem caused by the current situation of “few samples and big errors” of the experimental database, feature engineering aiming at dimension reduction is systematically carried out through an iterative process. …”
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    Article
  11. 2011
  12. 2012

    Long Live Technical Translation: Technical Translation in English Language Learning by E. A. Komochkina, T. V. Selezneva

    Published 2019-07-01
    “…Within this context the role of extracurricular autonomous studies has been reconsidered and re-evaluated as far as language learning skills and competences are concerned. Particularly, benefits and drawbacks of individual work with an academic article have been examined as well as the current online availability of material and the extent of teacher’s involvement. …”
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    Article
  13. 2013

    Cortical Plasticity during Motor Learning and Recovery after Ischemic Stroke by Jonas A. Hosp, Andreas R. Luft

    Published 2011-01-01
    “…We are not sure whether learning and recovery work via same or similar neural mechanisms. …”
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    Article
  14. 2014
  15. 2015

    Learning styles and approaches in Dentistry students and their relationship with academic performance in Pharmacology by Ariana Fernàndez Garcìa, Ileana Quiñones La Rosa, Rosa María Lam Díaz

    Published 2023-10-01
    “…<p><strong>Foundation:</strong> the learning styles and approaches allow us to know how the student faces this process and the way in which they process the information that must be assimilated.…”
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    Article
  16. 2016
  17. 2017
  18. 2018

    Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications by Damjan Strnad, Stefan Kohek, Borut Zalik, Libor Vasa, Andrej Nerat

    Published 2025-01-01
    “…Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. …”
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    Article
  19. 2019

    Leveraging deep learning for robust EEG analysis in mental health monitoring by Zixiang Liu, Juan Zhao

    Published 2025-01-01
    “…Conventional methods for EEG-based mental health evaluation often depend on manually crafted features or basic machine learning approaches, like support vector classifiers or superficial neural networks. …”
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    Article
  20. 2020