187 Result(s)
within
**ya Lu
Artificial Intelligence
Computational Science and Engineering
Data Mining and Knowledge Discovery
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Article
Retraction Note: Reality of virtual damage identification based on neural networks and vibration analysis of a damaged bridge under a moving vehicle
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Article
Retraction Note: Lip segmentation using localized active contour model with automatic initial contour
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Article
Residual deep fuzzy system with randomized fuzzy modules for accurate time series forecasting
The data-driven modular deep fuzzy model has demonstrated excellent forecasting performance due to its clear architecture and powerful fuzzy inference ability. However, the fixed structure predesigned for spec...
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M-Mix: Patternwise Missing Mix for filling the missing values in traffic flow data
Real-world traffic flow data often contain missing values, which can limit its usability. Although existing deep learning-based imputation methods have shown promising results by reconstructing observed values...
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Article
Open AccessMulti-class vulnerability prediction using value flow and graph neural networks
In recent years, machine learning models have been increasingly used to detect security vulnerabilities in software, due to their ability to achieve high performance and lower false positive rates compared to ...
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A novel metric learning method based on constructing a uniform data hypersphere via simulated forging approach
Non-uniformly distributed data in unbalanced datasets have the phenomenon of data stacking and data scattering. However, most traditional metric learning algorithms often overemphasize the intra-class compactn...
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Observer-based practical prescribed time control for fractional-order nonlinear systems with asymmetric state constraints
The primary emphasis of this work is on investigating the practical prescribed time tracking issue for a type of fractional-order state constrained system with immeasurable states. These unknown system states ...
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Counterfactual contextual bandit for recommendation under delayed feedback
The recommendation system has far-reaching significance and great practical value, which alleviates people’s troubles about choosing from a huge amount of information. The existing recommendation system usuall...
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Siamada: visual tracking based on Siamese adaptive learning network
Recently, Siamese trackers based on region proposal networks (RPN) have gained a lot of popularity. However, the design of RPN requires manual tuning of parameters such as object-anchor intersection over union...
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Online content-based sequential recommendation considering multimodal contrastive representation and dynamic preferences
The online content, including live streaming and short videos, provides abundant visual and textual product information to users, which offers insights into users’ multiple and changeable preferences toward pr...
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Invisible backdoor learning in regional transform domain
The rapid develo** deep learning is highly required by resources and computing resources, which easily leads to backdoor learnings. It is difficult for existing schemes to strike a balance among trigger conc...
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Contrastive feature decomposition for single image layer separation
The key challenge of image layer separation stems from recognizing different components in a single image. Typical methods optimize the modeling of different components by performing low-level supervision on t...
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Article
On the adversarial robustness of generative autoencoders in the latent space
The generative autoencoders, such as the variational autoencoders or the adversarial autoencoders, have achieved great success in lots of real-world applications, including image generation and signal communic...
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Article
Open AccessPINN-CHK: physics-informed neural network for high-fidelity prediction of early-age cement hydration kinetics
Cement hydration kinetics, characterized by heat generation in early-age concrete, poses a modeling challenge. This work proposes a physics-informed neural network (PINN) named PINN-CHK designed for cement hyd...
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Article
Correction: Hierarchical reinforcement learning for kinematic control tasks with parameterized action spaces
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Article
Foodnet: multi-scale and label dependency learning-based multi-task network for food and ingredient recognition
Image-based food pattern classification poses challenges of non-fixed spatial distribution and ingredient occlusion for mainstream computer vision algorithms. However, most current approaches classify food and...
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Article
Post-capture tracking control with fixed-time convergence for a free-flying flexible-joint space robot based on adaptive neural network
Aiming to achieve rapid and precise trajectory tracking for a free-flying flexible-joint space robot (FFSR) when capturing a space target with unknown mass, we developed a nonsingular fixed-time adaptive neura...
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Application status of qualitative comparative analysis methods in the international ISLS field based on social network analysis
This paper explores the knowledge network structure of foreign research literature by applying the qualitative comparative analysis (QCA) method to the field of information science and library science (ISLS) f...
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Article
Pmir: an efficient privacy-preserving medical images search in cloud-assisted scenario
With the advancement of content-based medical image retrieval (CBMIR) technology which is used as a convenient assistant for medical diagnosis. However, the potential risk of privacy disclosure in CBMIR remain...
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Article
Action recognition based on adaptive region perception
Temporal modelling is still challenging for action recognition in video. To alleviate this problem, this paper proposes a new video architecture, called Adaptive Region Aware (ARP) network. The network focuses...
