gait-cycle
发表于 2025-3-26 23:25:35
Towards Brighter Urban Futures,appropriate data imputation methods benefits analysis significantly. In this paper, we leveraged and evaluated a new imputation approach called k-Nearest Neighbour with Most Significant Features and incomplete cases (KNNI.) to impute missing values in a healthcare dataset. This algorithm leverages k
INCH
发表于 2025-3-27 03:41:30
https://doi.org/10.1007/978-3-030-77977-1artificial intelligence; computer networks; computer vision; correlation analysis; image analysis; image
衰老
发表于 2025-3-27 08:16:07
978-3-030-77976-4Springer Nature Switzerland AG 2021
期满
发表于 2025-3-27 12:42:54
Computational Science – ICCS 2021978-3-030-77977-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
harpsichord
发表于 2025-3-27 16:45:47
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诱拐
发表于 2025-3-27 20:04:36
Capsule Network Versus Convolutional Neural Network in Image Classificationth the most common implementations of convolutional networks (CNNs) for image classification. We also introduced Convolutional CapsNet - a network that mimics the original CapsNet architecture but remains a pure CNN - and compare it against CapsNet. The networks are tested using popular benchmark im
conflate
发表于 2025-3-27 23:50:37
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Insubordinate
发表于 2025-3-28 03:03:06
Towards Understanding Time Varying Triangle Meshespture both true and spurious topology changes. In contrast with dynamic meshes, however, they do not capture the temporal correspondence, which (among other problems) leads to very high storage and processing costs. Unfortunately, establishing temporal correspondence of surfaces is difficult, becaus
Fibrillation
发表于 2025-3-28 09:19:47
ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-Based Computational Modely available in image format in print media, the internet, and research publications. There are various scenarios where these images are to be interpreted in the absence of datasets that were originally used to generate the charts. This leads to a pertinent need for automating data extraction from an
心胸开阔
发表于 2025-3-28 10:38:53
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