Search Results - data processing methods
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3401
A lifetime of experiences: Modelling habitat quality through cumulative effects on individual survival
Published 2025-06-01Get full text
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3402
Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network
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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3403
Sequential testing of complementary hypotheses about population density
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3404
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3405
Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence
Published 2025-06-01“…Moreover, centralized data collection and processing methods pose privacy security risks. …”
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3406
Tell Me What You See: Text-Guided Real-World Image Denoising
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3407
Counting animals in orthomosaics from aerial imagery: Challenges and future directions
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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3408
Federated Learning With Automated Dual-Level Hyperparameter Tuning
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3409
A novel machine learning-based approach to thermal integrity profiling of concrete pile foundations
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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Physics-constrained machine learning for reduced composition space chemical kinetics
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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3411
Bayesian optimization of underground railway tunnels using a surrogate model
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
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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In-Scene Calibration of Poisson Noise Parameters for Phase Image Recovery
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The Artistic Conversation: An ABR Multimodal Qualitative Innovation
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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From Policy to Practice: A Delphi Protocol on Life Projects for Autistic Adults
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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Adherence to Physical Rehabilitation in Patients With Delirium Post Neurosurgery: A Study Protocol
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Ethics in Qualitative Migration and Refugee Studies in Europe: From “Doing no Harm” to Reciprocity and Equity
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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