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It is clinically significant if intracranial pressure (ICP) waveform could be reliably reconstructed from simple physiological measurements that are commonly used in clinical practice. Some attempts have been made with the focus on estimating ...

Data-free knowledge distillation (DFKD) improves the student model (S) by mimicking the class probability from a pre-trained teacher model (T) without training data. Under such setting, an ideal scenario is that T can help generate ”good” ...

The performance of few-shot object detection has seen marked improvement through fine-tuning paradigms. However, existing methods often depend on shared parameters to implicitly transfer knowledge without explicit induction. This results in novel-...

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• Optimizing the knowledge transfer process by mining the transferable knowledge.
• Explicitly calibrate and distill inter-class correlation to alleviate class confusion.
• Transferring sharable patterns to fill the restricted intra-...

Graph Contrastive Learning (GCL) has achieved great success in self-supervised representation learning throughout positive and negative pairs based on graph neural networks (GNNs), where one critical issue lies in how to handle the false hard negatives ...

Incomplete multi-view clustering primarily focuses on dividing unlabeled data into corresponding categories with missing instances, and has received intensive attention due to its superiority in real applications. Considering the influence of incomplete ...

Based on the human–robot interaction behavior of mobile robots in social navigation, this paper proposes a social navigation quality evaluation model based on combined weights for the problems of single indicators, rough quantification and non-...

Person image generation is a challenging task aimed to transfer the person of the source image from a source pose to a target pose while preserving its style. In this paper, we proposed a Generative Adversarial Network based on ...

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• Our model alleviates the loss of semantic features of complex alignment regions.

Forecasting the number of hospitalization patients is important for hospital management. The number of hospitalization patients depends on three types of patients, namely admission patients, discharged patients, and inpatients. However, previous ...

In the density peaks clustering algorithm (DPC), points in high density regions are more likely to be selected as cluster centers, resulting in poor performance on complex datasets that are of various densities. A Density Peaks Clustering Algorithm ...

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• Multiple homologous GCMs of CMIP5 and CMIP6 were compared using Taylor diagram.

Quantifying the impact of global climate change on the water cycle and crop production is essential for water resource management and agricultural production planning. This study compared multiple GCM (General Circulation Model) ...

Image inpainting has achieved remarkable progress and inspired abundant methods, where the critical bottleneck is identified as how to fulfill the high-frequency structure and low-frequency texture information on the masked regions with semantics. To ...

Soil and Water Assessment Tool (SWAT) is widely used for watershed-scale assessment of climate change impacts, but post-processing of model outputs is a tedious job. An R tool was developed in this study for batch processing of SWAT ...

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• An algorithm for rapidly post-processing SWAT output.hru data was developed.
• ...

Invasively measured fractional flow reserve (FFR) and index of microcirculatory resistance (IMR) are gold standards for the diagnosis of coronary artery disease (CAD) and coronary microcirculatory dysfunction (CMD). However, the ...

• Hemodynamics in cases with both nonobstructive coronary artery disease and coronary microcirculatory dysfunction (CMD).
• A validated computational fluid dynamics (CFD) model based on patient-specific index of microcirculatory resistance ...

The detection of novel foregrounds only utilizing scarce annotated images, namely few-shot object detection, makes a detector no longer dependent on large-scale instantiated sets. The realistic challenge might lie in establishing the correlation ...

Gesture recognition using millimeter-wave radios facilitates natural human-computer interactions, but existing works require a consistent environment, i.e., the neural networks for recognition are trained and tested for the same users and at some fixed ...

This article comes up with a complex-valued encoding multichain seeker optimization algorithm (CMSOA) for the engineering optimization problems. The complex-valued encoding strategy and the multichain strategy are leaded in the seeker optimization ...

"In air" gesture recognition using millimeter wave (mmWave) radar and its applications in natural human-computer-interaction for smart home has shown its potential. However, the state-of-the-art works still fall short in terms of limited gesture space, ...

Millimeter wave (mmWave) based gesture recognition technology provides a good human computer interaction (HCI) experience. Prior works focus on the close-range gesture recognition, but fall short in range extension, i.e., they are unable to ...

Millimeter-wave (mmWave) has advantages of sensitivity and concealment, which enables a mature application in human body security. However, all the state-of-the-art solutions are based on a huge antenna array which is too cumbersome, i.e., it is ...

• Coronary microcirculatory dysfunction could be simulated using computational fluid dynamics.
• MR variations in a branch with mild stenosis has limited hemodynamic effects on other branches.
• Increased MR in a highly stenosed branch ...

The instantaneous wave-free ratio (iFR) has been proposed to estimate the hemodynamic severity of atherosclerotic stenosis in coronary arteries. The atherosclerotic stenosis in a proximal coronary artery could change its ...