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    Self-Confidence and Satisfaction in Simulation-Based Learning and Clinical Competence Among Undergraduate Nursing Students: A Mixed-Methods Sequential Explanatory Study by Hadeel Anbari, Ali Kerari

    Published 2025-07-01
    “…The participants emphasized the importance of skill mastery in a safe and controlled environment and the positive impact of advanced technologies, such as virtual simulations, on their learning experiences.…”
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    Article
  3. 123

    An interdisciplinary complex problem as a starting point for learning: Impact of the PBL method in second-year Environmental engineering students by E. Saez de Camara, A. Lopez-Urionabarrenechea, M. N. Azpiazu, P. Ruiz de Arbulo, G. Insunza

    Published 2015-09-01
    “…Regarding students’ opinion, it should be emphasized that they perceive that this method is functional and encouraging. A high percentage of the students describe the experience as positive or very positive. …”
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  4. 124

    Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples by Min Gu Kwak, Hyungu Kahng, Seoung Bum Kim

    Published 2025-01-01
    “…Semi-supervised learning (SSL) methods have shown promising results in solving many practical problems when only a few labels are available. …”
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    Article
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    Transformer-based travel time estimation method for plateau and mountainous environments by Guangjun Qu, Kefa Zhou, Rui Wang, Dong Li, Yingpeng Lu, Zhihong Lv, Dequan Zhao, Aijun Zhang, Qing Zhang

    Published 2025-02-01
    “…We selected Transformer, which has greater robustness in capturing long-distance dependencies than LSTM, to develop a Transformer-based model. The model simultaneously integrates positional encoding and multi-head self-attention mechanisms with the objective of enhancing the accuracy of travel time predictions based on a substantial number of trajectory points in wilderness settings. …”
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    A feature extraction method for hydrofoil attached cavitation based on deep learning image semantic segmentation algorithm by Yingyuan Liu, Yizhi Wang, Kang An

    Published 2025-02-01
    “…To conveniently extract cavitation features from the massive images, a feature extraction method for hydrofoil cavitation was proposed in this work based on deep learning image semantic segmentation techniques. …”
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    A Convergent Mixed-Methods Evaluation of a Co-Designed Evidence-Based Practice Module Underpinned by Universal Design for Learning Pedagogy by Stephanie Craig, Hannah McConnell, Patrick Stark, Nuala Devlin, Claire McKeaveney, Gary Mitchell

    Published 2025-06-01
    “…<b>Results:</b> Quantitative data was analyzed using paired t-tests and this highlighted statistically significant improvements in attitude, knowledge and utilization of evidence-based practice after learning (<i>p</i> < 0.001). …”
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    Malicious Traffic Detection Method for Power Monitoring Systems Based on Multi-Model Fusion Stacking Ensemble Learning by Hao Zhang, Ye Liang, Yuanzhuo Li, Sihan Wang, Huimin Gong, Junkai Zhai, Hua Zhang

    Published 2025-04-01
    “…Nowadays, network attacks are complex and diverse, and traditional rule-based detection methods are no longer adequate. With the advancement of machine learning technologies, researchers have introduced them into the field of traffic detection to address this issue. …”
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    Article
  17. 137

    Machine Learning Based Localization of LoRa Mobile Wireless Nodes Using a Novel Sectorization Method by Madiyar Nurgaliyev, Askhat Bolatbek, Batyrbek Zholamanov, Ahmet Saymbetov, Kymbat Kopbay, Evan Yershov, Sayat Orynbassar, Gulbakhar Dosymbetova, Ainur Kapparova, Nurzhigit Kuttybay, Nursultan Koshkarbay

    Published 2024-12-01
    “…A novel approach is proposed, based on the preliminary division of the room into sectors using a Received Signal Strength Indicator (RSSI) fingerprinting technique combined with machine learning (ML). …”
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    Article
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