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The prediction of sepsis, especially early diagnosis, has received a significant attention in biomedical research. In order to improve current medical scoring system and overcome the limitations of class imbalance and sample size of ...

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• Early diagnosis of sepsis is a scenario with class imbalance and limited data.
• Knowledge-transfer-based approach combines ordinal regression and medical scoring.
• Our approach is equivalent to a specific form of weighted regression.

In the realm of natural language processing (NLP), aspect-based sentiment analysis plays a pivotal role. Recently, there has been a growing emphasis on techniques leveraging Graph Convolutional Neural Network (GCN). However, there are several ...

Emotional Support Conversation (ESConv) aims to alleviate seekers’ emotional distress by employing supportive strategies and responses. However, current approaches for strategy selection primarily rely on dialogue history, overlooking the ...

Helmholtz stereopsis (HS) exploits the reciprocity principle of light propagation (i.e., the Helmholtz reciprocity) for 3D reconstruction of surfaces with arbitrary reflectance. In this paper, we present the polarimetric Helmholtz stereopsis (polar-HS), ...

The existing methods for sentiment classification normally ignore that the past experiences retrieved by users under particular situations would affect their sentiment expressions. Furthermore, related research may underutilize user personality to ...

Conversational recommendation systems (CRS) could acquire dynamic user preferences towards desired items through multi-round interactive dialogue. Previous CRS works mainly focus on the single conversation (subsession) that the user quits after a ...

To improve the security of private electronic communication information, the paper proposes an information storage encryption method based on fuzzy rules. Firstly, after establishing a private electronic communication information set, fill in the missing ...

Within the realm of teacher education, effective tools as support can enhance pre-service teachers' comprehension of STEM concepts and their ability to tackle with complex problems. This research aims to empirically investigate the impact of ChatGPT-...

Review sentiment classification aims to predict user sentiment for given user-generated review. Most of the existing methods enhance their sentiment classifiers by incorporating user information. However, those methods normally ignore ...

• Classify user sentiment with personalized mood impact based on the cognitive mechanism of mood-congruent attention bias.

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• Proposing a fusion capsule network with congruent attention for cyberbullying detection.
• Designing a novel extensible congruent attention mechanism to fuse multiple subspace features and obtain a unified spatial representation of the ...

As an extension of bullying on social networks, cyberbullying has seriously affected the security of the online social environment and infringed on mental health. Taking appropriate measures to detect online bullying reviews is crucial. Existing ...

Particle Imaging Velocimetry (PIV) is a classical method that estimates fluid flow by analyzing the motion of injected particles. To reconstruct and track the swirling particles is a difficult computer vision problem, as the particles are dense in the ...

We present a demo showcasing the capabilities of an infrared (IR)-based light communication system with a movable receiver. The system employs IR laser (VCSEL) together with scattering lens as the transmitter and an avalanche photo-diode (APD) with ...

Bundle Recommendation (BR) aims at recommending bundled items on online content or e-commerce platform, such as song lists or book lists. Several graph-based models have achieved state-of-the-art performance on BR task. But their performance is ...

Novel circuits designed using carbon nanotube field-effect transistors (CNFETs) are gaining increasing attention because of advantages such as low-power operation, high operating speed, and support of advanced integration technology. In this work, we ...

• A three-dimensional discrete Boltzmann model for simulation of detonations is developed using a unified formulation.

A discrete Boltzmann model (DBM) for compressible reactive flows, with a two-step reaction scheme is presented. The discrete velocity model is modified using the characteristic points of the platonic solids, which leads to excellent ...

Review-based recommendations mainly explore reviews that provide actual attributes of items for recommendation. In fact, besides user reviews, merchants have their descriptions of the items. The inconsistency between the descriptions and the ...

Typhoon rainstorm is one of the main manifestations of typhoon disasters. Predicting precipitation caused by a typhoon is vital for flood control and disaster mitigation. Herein, we present a typhoon precipitation prediction model which consists of two ...

The brain functional connectivity classification based on deep learning is a research hotspot nowadays. However, the classification performance is far behind the demand of clinical applications. To alleviate the problem, this paper proposes a multiview ...

Neural network (NN) accelerators based on resistive random access memory (ReRAM) have been widely investigated as a promising solution to address the <italic>memory wall</italic> challenge, due to its capability of <italic>processing-in-memory</italic> ...

The modular multilevel matrix converter (M³C) is a direct AC/AC converter which is suitable for medium-voltage high-power applications. However, the branch energy balancing control of the system appears more complicated because the converter ...