3,900 Result(s)
within
Li**g Du
Computer Science
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Article
Open AccessOmni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by combining artificial-intelligence technology with X-ray ima...
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FST-OAM: a fast style transfer model using optimized self-attention mechanism
Image style transfer is a remarkable research hotspot in computer image processing. However, state-of-the-art models have some drawbacks, such as low efficiency of transfer time, distorted image structure and ...
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Clothes-Eraser: clothing-aware controllable disentanglement for clothes-changing person re-identification
This paper conducts research on the problem of person re-identification in the context of urbanization and population growth, which holds significant application prospects in the field of computer vision. Trad...
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Uncertainty analysis in acoustics: perturbation methods and isogeometric boundary element methods
This study proposes a generalized nth-order perturbation method based on (isogeometric) boundary element methods for uncertainty analysis in 3D acoustic scattering problems. In this paper, for the first time, we ...
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Adversarial defence by learning differentiated feature representation in deep ensemble
Deep learning models have been shown to be vulnerable to critical attacks under adversarial conditions. Attackers are able to generate powerful adversarial examples by searching for adversarial perturbations, ...
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Linear complexity of two classes of quaternary sequences based on sign alternation transformation
Two classes of optimal quaternary sequences have been constructed by applying the sign alternation transform and Gray map** to Legendre sequence pair, twin-prime sequence pair and GMW sequence pair. In this ...
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Integrated self-supervised label propagation for label imbalanced sets
Label propagation is an essential graph-based semi-supervised learning algorithm. However, the algorithm has two problems: how to effectively measure sample similarity and handle label imbalanced sets. Recent ...
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PointDMIG: a dynamic motion-informed graph neural network for 3D action recognition
Point cloud contains rich spatial information, providing effective supplementary clues for action recognition. Existing action recognition algorithms based on point cloud sequences typically employ complex spa...
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GPU-based butterfly counting
When dealing with large bipartite graphs, butterfly counting is a crucial and time-consuming operation. Graphics processing units (GPUs) are widely used parallel heterogeneous devices that can significantly bo...
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Tsnet: a two-stage network for image dehazing with multi-scale fusion and adaptive learning
Image dehazing has been a popular topic of research for a long time. Previous deep learning-based image dehazing methods have failed to achieve satisfactory dehazing effects on both synthetic datasets and real...
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An empirical study of data sampling techniques for just-in-time software defect prediction
Just-in-time software defect prediction (JIT-SDP) is a fine-grained, easy-to-trace, and practical method. Unfortunately, JIT-SDP usually suffers from the class imbalance problem, which affects the performance ...
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Open AccessPhishing behavior detection on different blockchains via adversarial domain adaptation
Despite the growing attention on blockchain, phishing activities have surged, particularly on newly established chains. Acknowledging the challenge of limited intelligence in the early stages of new chains, we...
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Enhanced feature pyramid for multi-view stereo with adaptive correlation cost volume
Multi-level features are commonly employed in the cascade network, which is currently the dominant framework in multi-view stereo (MVS). However, there is a potential issue that the recent popular multi-level ...
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Article
Highly sensitive flexible strain sensor based on the two-dimensional semiconductor tellurium with a negative gauge factor
Research on flexible strain sensors has advanced rapidly in recent years, with particular attention being devoted to two-dimensional (2D) semiconductor materials owing to their exceptional mechanical and elect...
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Factors influencing students’ acceptance and use generative artificial intelligence in elementary education: an expansion of the UTAUT model
This research examines the influence of integrating generative artificial intelligence (GAI) in education, focusing on its acceptance and utilization among elementary education students. Grounded in the Task-T...
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Open AccessIntelligent analysis of android application privacy policy and permission consistency
With the continuous development of mobile devices, mobile applications bring a lot of convenience to people’s lives. The abuse of mobile device permissions is prone to the risk of privacy leakage. The existing...
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Diff-Font: Diffusion Model for Robust One-Shot Font Generation
Font generation presents a significant challenge due to the intricate details needed, especially for languages with complex ideograms and numerous characters, such as Chinese and Korean. Although various few-s...
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Open AccessParallel processing model for low-dose computed tomography image denoising
Low-dose computed tomography (LDCT) has gained increasing attention owing to its crucial role in reducing radiation exposure in patients. However, LDCT-reconstructed images often suffer from significant noise ...
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Open AccessIKT-Konzepte zur Digitalisierung von MicroGrids und deren Betriebsführung
Der Artikel befasst sich mit der Entwicklung intelligenter MicroGrids in lokalen Verteilungsnetzen und der dafür notwendigen Informations- und Kommunikationstechnik-Infrastruktur (IKT) und deren Rahmenbedingun...
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STOD: toward semi-supervised tiny object detection
Semi-supervised object detection aims to enhance object detectors by utilizing a large number of unlabeled images, which has gained increasing attention in natural scenes. However, when these methods are direc...
