Showing 1,821 - 1,840 results of 22,159 for search '"learning"', query time: 0.08s Refine Results
  1. 1821

    Visual Semantic Navigation Based on Deep Learning for Indoor Mobile Robots by Li Wang, Lijun Zhao, Guanglei Huo, Ruifeng Li, Zhenghua Hou, Pan Luo, Zhenye Sun, Ke Wang, Chenguang Yang

    Published 2018-01-01
    “…In order to improve the environmental perception ability of mobile robots during semantic navigation, a three-layer perception framework based on transfer learning is proposed, including a place recognition model, a rotation region recognition model, and a “side” recognition model. …”
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    Active learning in undergraduate classroom dental education- a scoping review. by Arnaldo Perez, Jacqueline Green, Mohammad Moharrami, Silvia Gianoni-Capenakas, Maryam Kebbe, Seema Ganatra, Geoff Ball, Nazlee Sharmin

    Published 2023-01-01
    “…<h4>Introduction</h4>Previous reviews on active learning in dental education have not comprehensibly summarized the research activity on this topic as they have largely focused on specific active learning strategies. …”
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    Analysis of Physical Human–Robot Interaction for Motor Learning with Physical Help by Shuhei Ikemoto, Takashi Minato, Hiroshi Ishiguro

    Published 2008-01-01
    “…The aim of this research is to develop a motor learning system that uses physical help from a human helper. …”
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    Adaptive Image Denoising Method Based on Diffusion Equation and Deep Learning by Shaobin Ma, Lan Li, Chengwen Zhang

    Published 2022-01-01
    “…Combined with batch standardization and residual learning technology, the image denoising network model based on deep residual learning of the convolutional network is designed with better denoising performance. …”
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  15. 1835

    AN AUTOMATED SKIN DISEASE DIAGNOSTIC SYSTEM BASED ON DEEP LEARNING MODEL by LAWRENCE OMOTOSHO, KEHINDE SOTONWA, BENJAMIN ADEGOKE, OLUWASHINA OYENIRAN, JOSHUA OYENIYI

    Published 2022-01-01
    Subjects: “…dermatology, artificial intelligence, deep learning, AlexNet…”
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    Article
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    Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction. by Akash Bahai, Chee Keong Kwoh, Yuguang Mu, Yinghui Li

    Published 2024-12-01
    “…This study systematically benchmarks state-of-the-art deep learning methods for RNA structure prediction across diverse datasets. …”
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