Showing 1,581 - 1,600 results of 10,500 for search '(((spinnae OR spinae) OR ((pinge OR pine) OR (fine OR five))) OR ((ins OR (pina OR ling)) OR ping))', query time: 0.22s Refine Results
  1. 1581

    Comprehensive analysis of feature extraction methods for emotion recognition from multichannel EEG recordings by Yuvaraj, Rajamanickam, Thagavel, Prasanth, Thomas, John, Fogarty, Jack, Ali, Farhan

    Published 2023
    “…The FD-CART feature-classification method attained the best mean classification accuracy for valence (85.06%) and arousal (84.55%) across the five datasets. The stability of these findings across the five different datasets also indicate that FD features derived from EEG data are reliable for emotion recognition. …”
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    Journal Article
  2. 1582

    Neotropical understory birds and mammals show divergent behaviour responses to human pressure by Negret, Pablo Jose, Luskin, Mathew Scott, Gomez-Valencia, Bibiana, Diaz-Pulido, Angelica, Romero, Luis Hernando, Restrepo, Adriana, Zaehringer, Julie G., Jones, Kendall R., Ochoa-Quintero, Jose Manuel, Mendes, Calebe Pereira

    Published 2024
    “…We found that diel activity significantly changed with higher human pressure for 45% of the birds (five species) and 36% of the mammals (five species) assessed, with four of five birds becoming more diurnal and all five mammals becoming more nocturnal. …”
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    Journal Article
  3. 1583

    Co-designing the implementation of a rural health systems-strengthening rheumatic heart disease program with remote First Nations Australian communities using Theory of Change by Jones, B, Mitchell, A, Haynes, E, Howard, NJ, Wade, V, Pears, C, Rossingh, B, Gatti, J, Ramadani, S, Corpus, E, Yan, J, Marangou, J, Kaethner, A, Bailey, M, Francis, JR, English, M, Nagraj, S

    Published 2025
    “…Methods: A qualitative study using a Theory of Change approach and ‘yarning’ methods, was conducted with five remote First Nations Australian communities. …”
    Journal article
  4. 1584

    Scene understanding based on heterogeneous data fusion by Zhu, Lingzhi

    Published 2017
    “…This network achieves 0.77 mean average precision without any fine tuning. Moreover, after fine tuning process, the highest mAP score it can reach is 0.804. …”
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    Final Year Project (FYP)
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