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  1. 341

    Geographical Flushing of the Children’s Face: A New Clinical Entity? by Masatoshi Jinnin, Satoshi Fukushima, Yuji Inoue, Hironobu Ihn

    Published 2013-01-01
    “…A lot of skin diseases can occur on children’s faces. We report two children with unique flushing on their faces, sometimes accompanied with headache. …”
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    Article
  2. 342

    Research on Face Recognition Method by Autoassociative Memory Based on RNNs by Qi Han, Zhengyang Wu, Shiqin Deng, Ziqiang Qiao, Junjian Huang, Junjie Zhou, Jin Liu

    Published 2018-01-01
    “…The model is based on the recurrent neural networks (RNNs) for face recognition, under the condition that the face database is replaced by its model parameters. …”
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  3. 343

    A New Local Descriptor Based on Strings for Face Recognition by Hicham Zaaraoui, Abderrahim Saaidi, Rachid El Alami, Mustapha Abarkan

    Published 2020-01-01
    “…This paper proposes the use of strings as a new local descriptor for face recognition. The face image is first divided into nonoverlapping subregions from which the strings (words) are extracted using the principle of chain code algorithm and assigned into the nearest words in a dictionary of visual words (DoVW) with the Levenshtein distance (LD) by applying the bag of visual words (BoVW) paradigm. …”
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  4. 344

    Study on the Impact of LDA Preprocessing on Pig Face Identification with SVM by Hongwen Yan, Yulong Wu, Yifan Bo, Yukuan Han, Gaifeng Ren

    Published 2025-01-01
    “…Additionally, the training and testing durations were reduced to 0.7% and 0.3% of the original times, respectively. …”
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  5. 345

    Policy learning in the face of ambiguity: Puzzling and powering in multiple streams by Malte Möck, Peter H. Feindt

    Published 2024-09-01
    “…Based on nine constellations of streams, we distinguish six types of learning characterized by different tasks, actors, and effects. …”
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  8. 348

    Neural Induction, Neural Fate Stabilization, and Neural Stem Cells by Sally A. Moody, Hyun-Soo Je

    Published 2002-01-01
    “…We will discuss how these factors may be relevant to manipulating embryonic stem cells to express a neural fate and to produce large numbers of neurally committed, yet undifferentiated, stem cells for transplantation therapies.…”
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  13. 353

    Facilitators and Barriers faced by Mobile Payment Fintechs in the Brazilian Context by Gabriel Braido, Amarolinda Klein, Guilherme Papaleo

    Published 2021-01-01
    “…Fintechs have created a new global financial reality, providing access to services that were previously provided only by banks. This article aims to identify facilitators and barriers faced by mobile payment fintechs for their entry and development in the Brazilian context. …”
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  14. 354

    Bumblebee social learning outcomes correlate with their flower-facing behaviour by Yuyi Lu, Zhenwei Zhuo, Mark Roper, Lars Chittka, Cwyn Solvi, Fei Peng, Ying Zhou

    Published 2024-11-01
    “…While both groups showed a negative correlation between time spent facing non-rewarding flowers and learning outcomes, the observer bees in the blue group benefited from time spent facing occupied rewarding flowers, whereas the yellow group showed that time facing unoccupied rewarding flowers by the observer bees positively correlated with their learning outcomes. …”
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  15. 355
  16. 356

    COVID-19 Infodemic in Malaysia: Conceptualizing Fake News for Detection by Chee Kuan Lim, Zurinahni Zainol, Bahiyah Omar, Noor Farizah Ibrahim

    Published 2023-01-01
    “…There is an “Infodemic” of COVID-19 in which there are a lot of rumours and information disorders spreading rapidly, the purpose of the study is to build a predictive model for identifying whether the COVID-19 information in the Malay language in Malaysia is real or fake. Under the study of COVID-19 fake news detection, the synthetic minority oversampling technique (SMOTE) is used to generate synthetic instances of real news in the training set after natural language processing (NLP) and before data modelling because the number of fake news is approximately three times greater than that of real news. …”
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  17. 357

    Gender differences in the recognition of emotional faces: are men less efficient? by Ana Ruiz-Ibáñez, José T. Boyano

    Published 2017-06-01
    “…As research in recollection of stimuli with emotional valence indicates, emotions influence memory. Many studies in face and emotional facial expression recognition have focused on age (young and old people) and gender-associated (men and women) differences. …”
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  18. 358
  19. 359

    Locality preserving binary face representations using auto‐encoders by Mohamed Amine Hmani, Dijana Petrovska‐Delacrétaz, Bernadette Dorizzi

    Published 2022-09-01
    “…The binary representations are evaluated on the MOBIO and the Labelled Faces in the Wild databases, where their biometric recognition performance and entropy are measured. …”
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