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Drilling for gas extraction, a common method in coal mine gas control, involves tedious loading and uploading of drill pipes. This study aims to design a method for detecting and measuring pose drill pipes using point cloud data. We present an ...

The topic of synchronization of fractional-order fuzzy complex networks with time-varying couplings and proportional delay is addressed in this paper. By combining graph theory, the Lyapunov method, and the Razumikhin method, the synchronization ...

The Tibetan region contains abundant cultural resources. Handwritten Tibetan numeral recognition is an important basic task for Tibetan language digitalization process. As a low-resource language, Tibetan poses more stringent robustness requirements for ...

Brain-computer interface (BCI) is a technology that uses EEG signals to realize human-computer interaction. Motor imagery is a commonly used EEG paradigm, which has the advantage of active control and can be used in neurorehabilitation, prosthetic ...

Filling data gaps in various global regions requires a robust approach that can accurately provide detection results from earth observation data. One of the challenges arises from significant heterogeneity in satellite images and variation in features ...

Value estimation is a critical problem in Value-Based reinforcement learning. Most related studies focus on using multi-critic to reduce estimation bias and seldom consider the multi-actor impact on value estimation. This paper proposes a multi-...

Infrared small target segmentation plays an important role in infrared guidance systems. In this paper, a fine-grained guided model fusion network with attention mechanism (FAMNet) is proposed for improving the performance of the infrared small target ...

• The model of FDMSNs is established, where fractional dynamics of networks, multiple time delays, and multiple connections between nodes are considered at the ...

This article addresses the problem of bipartite leader-following synchronization of fractional-order delayed multilayer signed networks. It is worth emphasizing that fractional dynamics and multiple connections between nodes with ...

Unsupervised domain adaptation techniques increase the classification performance of tasks from the target domain by utilizing the information in a related source domain. Since the target labeled samples are unavailable, matching ...

• Presenting a VAE-based transfer algorithm for cross-domain image classification.

The sharp rise in urban crime rates is becoming one of the most important issues of public security, affecting many aspects of social sustainability, such as employment, livelihood, health care, and education. Therefore, it is critical ...

Journalists, government agency and the public may hold different opinions about the same event; these opinions flow within and across multiple social groups. Understanding opinion flow in multiple social groups is conducive to have a quick grasp ...

Traditionally, the dice loss compares the similarity of boundaries between ground truths and predictions. However, the result can be unauthentic when it comes to the situation that both ground truth and predictions are too small. The focal Tversky loss ...

• Presenting a conditional adaptation networks for cross-domain image classification.

Unsupervised domain adaptation aims to improve the performance of an unknown target domain by utilizing the knowledge learned from a related source domain. Given that the target label information is unavailable in the unsupervised ...

High-impedance transformers can reduce shortcircuit currents, but they can also cause system stability problem. This paper establishes a BPA simulation model to study the influence of transformer short-circuit impedance on system stability. Through the ...