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   Articles with "spatiotemporal features" as a keyword



Distinct spatiotemporal features of microglia and monocyte‐derived macrophages in glioma

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recommendations! Published in 2023 at "European Journal of Immunology"

DOI: 10.1002/eji.202250161

Abstract: Gliomas are the most frequent primary tumors of the brain. Glioma progression is regulated by the tumor microenvironment, which is mainly composed of tumor‐associated microglia (TA‐MG) and monocyte‐derived macrophages (MDM). Recent studies have highlighted the… read more here.

Keywords: spatiotemporal features; derived macrophages; progression; monocyte derived ... See more keywords

Spatiotemporal features of electrocardiogram for biometric recognition

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recommendations! Published in 2019 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-018-0593-1

Abstract: The use of electrocardiograms (ECGs) as a modality for biometric recognition has received increasing interest. Whereas ECGs are capable of providing a complete insight into the spatiotemporal nature of the cardiac electrical activity, the large… read more here.

Keywords: features electrocardiogram; electrocardiogram biometric; recognition; biometric recognition ... See more keywords

ED‐AttConvLSTM: An Ionospheric TEC Map Prediction Model Using Adaptive Weighted Spatiotemporal Features

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recommendations! Published in 2024 at "Space Weather"

DOI: 10.1029/2023sw003740

Abstract: In this paper, we propose a novel Total Electron Content (TEC) map prediction model, named ED‐AttConvLSTM, using a Convolutional Long Short‐Term Memory (ConvLSTM) network and attention mechanism based on encoder‐decoder structure. The inclusion of the… read more here.

Keywords: tec map; map prediction; performance; prediction ... See more keywords

DSCSSA: A Classification Framework for Spatiotemporal Features Extraction of Arrhythmia Based on the Seq2Seq Model With Attention Mechanism

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recommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3194906

Abstract: In the field of arrhythmia classification, classification accuracy has always been a research hotspot. However, the noises of electrocardiogram (ECG) signals, the class imbalance of ECG data, and the complexity of spatiotemporal features of ECG… read more here.

Keywords: spatiotemporal features; attention mechanism; classification; model attention ... See more keywords