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We propose a cluster-based sparse graph network to improve the efficiency of image feature matching. This architecture clusters keypoints with high correlations into the same subgraphs, where each keypoint interacts only with others within the ...

• A cluster-based sparse graph network architecture is introduced to enhance feature matching efficiency by clustering keypoints with strong correlations into the same subgraph, which reduces the propagation of redundant message, leading to ...

Reliability analysis is crucial for quantitatively evaluating structural safety amidst uncertainties, laying the foundation for reliability-based design optimization aimed at augmenting structural reliability and reducing economic expenditures, ...

The rapid growth of industrial production signifies its CO 2 footprint and climate impact, highlighting the demand for efficient and energy-saving production scheduling. Generally, a single production job comprises multiple operations on various ...

Odor sensory evaluation is broadly applied in food, clothing, cosmetics, and other fields. Traditional artificial sensory evaluation has poor repeatability, and the machine olfaction represented by the electronic nose (E-nose) is difficult to ...

This paper introduces an innovative probabilistic dynamic planning model tailored to optimize photovoltaic (PV) system installation within Residential Energy Hubs (REHs). The REH amalgamates diverse components, including PV systems, Combined Heat ...

This paper introduces DiSandbox, a low-cost digital tool designed to support left-behind children in rural China facing psychological challenges. Comprising a range of miniature molds within a sand tray, children can freely express themselves, with an ...

There always exist multiple uncertainties including random uncertainty, interval uncertainty, and fuzzy uncertainty in engineering structures. In the presence of hybrid uncertainties, the hybrid uncertainty propagation analysis can be a ...

• A new multi-fidelity surrogate model method for hybrid uncertainty propagation is proposed.
• The analytical solutions for output mean and output variance are derived.
• A novel adaptive framework for hybrid uncertainty propagation is ...

For humans, taste is essential for perceiving the nutrient content or harmful components of food. The current method of taste sensory evaluation relies on artificial sensory evaluation and an electronic tongue. The former has strong subjectivity ...

Over the past few decades, agonists binding to the benzodiazepine site of the GABA_A receptor have been successfully developed as clinical drugs. Different modulators (agonist, antagonist, and reverse agonist) bound to benzodiazepine ...

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• The current study aimed to predict GABAA receptor agonists based on computational methods.
• Different machine learning methods such as ensemble learning, SVM, and ANN were employed for model development.
• Predictive performance of ...

The terahertz communication in the band 0.1-10 THz is well recognized as one of the supporting paradigms for the next generation of wireless communication. The channel modeling for THz communications has attracted lots of attention in the literature, ...

Sputum deposition has always been a significant problem in patients with mechanical ventilation. If not handled in time, it can induce bacterial infection and even endanger the life safety of patients. Currently, the evaluation of sputum ...

To address the issue of accurate control of piston trajectory during the startup of a free-piston direct drive generator, a fractional PID controller is proposed. Based on the analysis of its working characteristics and mechanism, an approximate ...

Pneumatic systems are an essential fluid transmission method in the industrial field, which can achieve the transmission and control of power or signals. Leakage in pneumatic systems is challenging to detect and is a highly harmful fault. Most existing ...

Different from all existing mobile communication systems, the sixth-generation (6G) mobile communication system is expected to realize satellite-terrestrial integrated networks (STINs) and ubiquitous artificial intelligence (AI), which promotes that ...

In order to improve the identification accuracy, accuracy and time-consuming of traditional financial risk identification methods, this paper proposes a risk identification method for financial abnormal data based on weighted random forest. Firstly, ...

Modifying some keywords or numbers on documents to change the original intention is illegal. In some litigation cases, especially economic cases, there is often a need to examine the type of ink on documents. This paper proposes a nondestructive ...

• LPSF module is designed to improve the gas features.
• Collaborative attention is proposed for local and global gas features.
• The feature compensation mechanism of CNN and Transformer is designed.
• PSCFormer is proposed for gas ...

Based on their powerful feature extraction capability, a convolutional neural network (CNN) has been gradually applied to gas identification in the electronic nose (e-nose) system. The responses of different intensities in the e-nose system are ...

On-ramp merging is one of the important V2X (Vehicle-to-Everything) applications and is critical for both driving safety and traffic efficiency. The ramp vehicle needs to get information about the surrounding vehicles through V2X communications, ...

Digital twin has revolutionized optical communication networks by enabling their full life-cycle management, including design, troubleshooting, optimization, upgrade, and prediction. While extensive literature exists on frameworks, standards, and ...

• Transformer-ELM hybrid model detects mixed odors in refrigerators.
• Model captures long-term serial data patterns via adaptive feature fusion.
• Active temperature modulation technique enhances sensor sensitivity.
• High accuracy ...

Accurate detection of food spoilage in refrigerators is crucial for ensuring food freshness and safety. However, due to the wide variety of gases emitted by decaying food and their uneven distribution of gases within the refrigerator, current ...