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Numerous approaches have been explored to learn relations between emotion and cause clauses as a key step in the extraction of emotion–cause pairs. Despite their effectiveness, there are some limitations of previous studies: (1) they ignored that ...

The application of handwritten Chinese character recognition technology can enable computers to recognize and read text efficiently and accurately, thereby can improve people's work efficiency. Using Residual Neural Network algorithm, based on Matlab his ...

Based on the research on the demand for intelligent clothes drying in the field of smart home system, aiming at the shortcomings of traditional clothes airing racks [1], such as poor ventilation effect, insufficient light, inability to perceive weather ...

Low-rank representation has been widely used in multi-view clustering. But the existing methods are matrix-based, which cannot well capture high-order low-rank correlation embedded in multiple views and fail to retain the local geometric structure ...

Computer-aided diagnosis has been widely used in the medical field, and one of the current research hotspots for aiding diagnosis is how to effectively fuse heterogeneous data such as image data and metadata. Most recent multi-modal skin cancer ...

Among many natural language processing tasks, the task of relation classification is an important basic work. Relational classification is required to provide high-quality corpus in fields such as machine translation, structured data generation, ...

Background: Mediated social touch has been widely studied for remote affective communication in the field of human-computer interaction. Goal: We conducted this literature review to comprehensively understand the state of the art of the designs and ...

Traffic networks exhibit complex spatial-temporal dependencies, and accurately capturing such dependencies is critical to improving prediction accuracy. Recently, many deep learning models have been proposed for spatial-temporal dependency modeling. While ...

Defect detection of industrial products is crucial to ensure product quality and use safety. However, the following difficulties still exist complex defect background, the large similarity between defect classes and weak semantic information, and ...

Small object detection is widely used in industries, military, autonomous driving and other fields. However, the accuracy of existing detection models in small object detection needs to be improved. This paper proposes the SC-AttentionIoU loss ...

Human motion recognition is a prominent research topic in the field of computer vision and pattern recognition. This technology has found numerous applications in various fields, such as human-computer interaction, intelligent video surveillance, motion ...

Accurately predicting compound-protein binding affinity is a crucial task in drug discovery. Computational models offer the advantages of short time, low cost and safety compared to traditional drug development. Pocket is the key ...

• Pocket multi-scale features are used for compound-protein affinity prediction.
• ...

Traditional culture refers to a culture that has evolved from civilization and can reflect the characteristics and spirit of a nation. However, at present, the traditional cultural ontology only focuses on modeling and data organization of a certain ...

Transformers achieve excellent performance in a variety of domains since they can capture long-distance dependencies through the self-attention mechanism. However, self-attention is computationally costly due to its quadratic complexity and high memory ...

A k-submodular function is an extension of the submodular function, which has received extensive attention due to its own value. In this paper, we design two random algorithms to improve the approximation ratio for maximizing the monotone k-...$\frac{\mathit{}}{\mathrm{}\mathrm{}}$${\mathbb{}}_{}$${}_{\mathrm{}}{}_{\mathrm{}}{}_{}{\mathbb{}}_{}$${}_{\mathrm{}}^{}{}_{}$$\frac{\mathit{}}{\mathrm{}\mathrm{}}$

In the blockchain system, the light node uses a simplified transaction verification method. Its storage overhead increases linearly with the size of the blockchain, which can quickly become prohibitive for mobile and IoT low-end devices in the ...

Learning programming benefits from self-regulation, but novices lack support for developing these skills of cognitive control. To support their development, we designed Code Replayer, an online tool that enables novice programmers to practice ...

This article addresses the adaptive secure control problem for a class of uncertain nonlinear large-scale cyber-physical systems (CPSs) subjected to deception attacks. Specifically, a novel adaptive fuzzy control scheme for each subsystem of CPSs is ...

• Proposes a novel partial timestamp synchronization (PTS) scheme.
• Achieves the ...

Most existing clock synchronization algorithms in wireless sensor networks require full timestamp information to estimate clock skew and offset so as to maintain the same time scale between nodes. However, in many scenarios, with the ...

Detecting defects in industrial products is one of the most widespread applications of industrial automation. Various product defects, large similarities, and drastic changes in scale in industrial scenarios pose challenges to existing industrial ...