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modeling algorithm » making algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
study finding » study findings (Expand Search), study finds (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4
Published 2025“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”
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Code used for data analysis in this study.
Published 2025“…<div><p>Low birth weight (LBW) is a major public health concern particularly in low and middle-income countries as it contributes to increased infant mortality and long-term health complications. This study applies and evaluates machine learning (ML) algorithms to predict LBW and identify its key risk factors in Bangladesh. …”
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Comparison of Model Performance on the Testing Dataset between Different Models.
Published 2025Subjects: -
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Evaluation of model aggregation algorithms.
Published 2024“…Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. …”
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Decision-making model for location selection of tourism and leisure facilities.
Published 2025Subjects: -
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