Search Results - data processing methods

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    Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

    Published 2025-05-01
    “…These results demonstrate that the model achieves accurate segmentation with a high degree of overlap compared to manually segmented reference data. This accuracy results from meticulous fine-tuning of the network, along with the application of advanced data augmentation and post-processing techniques.…”
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    Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence by Xin Nie, Laurence T. Yang, Fulan Fan, Zecan Yang

    Published 2025-06-01
    “…Moreover, centralized data collection and processing methods pose privacy security risks. …”
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  6. 3406
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    Counting animals in orthomosaics from aerial imagery: Challenges and future directions by Ismael V. Brack, Camila Ferrara, German Forero‐Medina, Enrique Domic‐Rivadeneira, Omar Torrico, Kevin Thomas Wanovich, Benjamin Wilkinson, Denis Valle

    Published 2025-06-01
    “…A common protocol used for data collection is planning flights with substantial overlap between successive photographs and lateral lines and then creating orthomosaics by merging the collected images. …”
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    A novel machine learning-based approach to thermal integrity profiling of concrete pile foundations by Javier Sánchez Fernández, Agustín Ruiz López, David M.G. Taborda

    Published 2025-01-01
    “…Thermal integrity profiling (TIP) is a nondestructive testing technique that takes advantage of the concrete heat of hydration (HoH) to detect inclusions during the casting process. This method is becoming more popular due to its ease of application, as it can be used to predict defects in most concrete foundation structures requiring only the monitoring of temperatures. …”
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  10. 3410

    Physics-constrained machine learning for reduced composition space chemical kinetics by Anuj Kumar, Tarek Echekki

    Published 2025-01-01
    “…In these models, the transport equations for a subset of representative species are solved with the ML approaches, while the remaining nonrepresentative species are “recovered” with a separate artificial neural network trained on data. Given the strong correlation between full and reduced solution vectors, our method utilizes a small neural network to establish an accurate and physically consistent mapping. …”
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  11. 3411

    Bayesian optimization of underground railway tunnels using a surrogate model by Hassan Liravi, Hoang-Giang Bui, Sakdirat Kaewunruen, Aires Colaço, Jelena Ninić

    Published 2025-01-01
    “…The synthetic dataset is constructed using an accurate numerical model that integrates the two-and-a-half-dimensional singular boundary method for modeling wave propagation in the soil with the finite element method for structural modeling. …”
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    Cross-Dataset Head-Related Transfer Function Harmonization Based on Perceptually Relevant Loss Function by Jiale Zhao, Dingding Yao, Junfeng Li

    Published 2025-01-01
    “…With the release of numerous HRTF datasets in recent years, abundant data has become available to support HRTF-related research based on deep learning. …”
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    The Artistic Conversation: An ABR Multimodal Qualitative Innovation by Dina Fried

    Published 2025-07-01
    “…The transparent, reproducible process—spanning recruitment, data collection, and integrative analysis—offers a rigorous model for qualitative research, with GoPro reducing extraneous data. …”
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  17. 3417

    From Policy to Practice: A Delphi Protocol on Life Projects for Autistic Adults by Giulia Ferrazzi, Martina Micai, Francesca Fulceri, Luca Pingani, Luca Ghirotto, Maria Luisa Scattoni, Gian Maria Galeazzi

    Published 2025-06-01
    “…Second and third rounds will refine emerging themes and evaluate consensus using Likert-scale ratings, with consensus defined as ≥80% agreement. Data will be analyzed through thematic and descriptive statistical methods. …”
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    Ethics in Qualitative Migration and Refugee Studies in Europe: From “Doing no Harm” to Reciprocity and Equity by Charlotte De Kock, Floor Verhaeghe, Leni Linthout, Giacomo Orsini, Océane Uzureau, Liselot Casteleyn, Gaëlle Le Pavic, Lotte Remue, Marie Jacobs, Ella van Hest, Maybritt Jill Alpes, Sarah Devos, Ilse Derluyn

    Published 2025-07-01
    “…Researchers focused on identifying inspiring practices that are relevant to both the “do no harm” and “reciprocal benefit” principles across all stages of research: design, recruitment, data collection, analysis, and dissemination. The inspiring practices that were identified include: reflecting on researcher positionality (invisibility, reasonable availability, advocacy), non-intrusive recruitment, iterative informed consent, ethnographic observation as a falsifying method, checking construct validity and data collection site considerations, linguistic reflexivity, analyzing interaction, back-translation and dissemination in collaboration with and adapted to the concerned communities, and, finally, co-creation throughout all research phases. …”
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