959 Result(s)
within
Engineering
Computational Intelligence
Su** Zhao
Article
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Article
Dual flow fusion graph convolutional network for traffic flow prediction
In recent decades, motor vehicle ownership has increased worldwide year by year, which causes that the accurate prediction of traffic flow on urban road networks becomes more important. However, the dual depen...
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Aspect category sentiment classification via document-level GAN and POS information
The purpose of aspect-category sentiment classification (ACSC) is to determine the sentiment polarity of the predefined aspect category from the texts. Current methods for ACSC have two main limitations. Since...
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Online control for pressure regulation of oxygen mask based on neural network
The aviation oxygen mask, which has a small volume of less than 1 L and strong air tightness, imposes extremely high requirements on control performance of the oxygen regulator. Based on analyses of the operat...
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Density peaks clustering algorithm based on multi-cluster merge and its application in the extraction of typical load patterns of users
The density peaks clustering (DPC) algorithm is simple in principle, efficient in operation, and has good clustering effects on various types of datasets. However, this algorithm still has some defects: (1) du...
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Consistent multi-view subspace clustering with local structure information
Multi-view subspace clustering has attracted extensive attention in recent years because it can fully utilize the inherent characteristics of each view data. The low-rank structure in many current successful m...
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Open AccessAttention-based RNN with question-aware loss and multi-level copying mechanism for natural answer generation
Natural answer generation is in a very clear practical significance and strong application background, which can be widely used in the field of knowledge services such as community question answering and intel...
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Open AccessMulti-view subspace clustering based on multi-order neighbor diffusion
Multi-view subspace clustering (MVC) intends to separate out samples via integrating the complementary information from diverse views. In MVC, since the structural information in the graph is crucial to the gr...
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Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks
Deep neural networks complete a feature extraction task by propagating the inputs through multiple modules. However, how the representations evolve with the gradient-based optimization remains unknown. Here we...
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Automated catastrophic optical damage inspection of semiconductor laser chip based on multi-scale strip convolution aggregation
Catastrophic optical damage (COD) is one of the reasons limiting the output power and lifetime of semiconductor lasers. Nevertheless, the automatic defects inspection of the COD is a challenging task due to se...
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Multi-scale pyramidal hash learning for traditional building facade image retrieval
Retrieving images captured of buildings is a critical need for intelligent urban management and tourism services. The different shooting angles, locations and distances lead to images under the same building o...
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Granular neural networks learning for time series prediction under a federated scenario
Granular neural networks (GNNs) are a type of advanced prediction models that produce information granules, offer more abstract and adaptable results. In this study, we address three significant issues in time...
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Open AccessEnhancing the Performance and Accuracy in Real-Time Football and Player Detection Using Upgraded YOLOv5 Architecture
The study presents a significantly improved version of the YOLOv5 real-time object detection model for football player recognition. The proposed technique includes feature-tuning and hyper-parameter optimizati...
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WTGCN: wavelet transform graph convolution network for pedestrian trajectory prediction
The task of pedestrian trajectory prediction remains challenging due to variable scenarios, complex social interactions, and uncertainty in pedestrian motion. Previous trajectory prediction research only model...
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Robust current control of single-phase PWM rectifier based on generalized internal model control
Faults in traction system rectifiers can cause deterioration in system performance, robustness, and continuity. A single fault may propagate and cause the whole system to be shut down. Therefore, improving the...
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Open AccessTwin-tower transformer network for skeleton-based Parkinson’s disease early detection
Parkinson’s disease is a chronic neurodegenerative condition accompanied by a variety of motor and non-motor clinical symptoms. Diagnosing Parkinson’s disease presents many challenges, such as excessive relian...
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Open AccessDevelopment of a semi-empirical bond strength model for multi-pass hot roll bonding based on the characterizations using the truncated-cone experiment
With special reference to the modelling of hot roll bonding, new experimental procedures to measure the resulting bond strength for a combination of AA6016 and AA8079 aluminum alloys at elevated temperatures a...
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Alignment of inertialess spheroidal particles in flow-structure-dominated regions of turbulent channel flow: shape effect
The alignment of elongated fibers and thin disks is known to be significantly influenced by the presence of fluid coherent structures in near-wall turbulence (Cui et al. 2021). However, this earlier study is c...
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Open AccessAn edge-assisted group authentication scheme for the narrowband internet of things
As an emerging wireless communication technology, narrowband Internet of Things is widely used in various scenarios, but it also brings new security problems, especially the group authentication between termin...
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Open AccessApplication of Artificial Intelligence Technology in Vulnerability Analysis of Intelligent Ship Network
The improvement in transportation efficiency, security, safety, and environmental effects may be possible due to the impending advent of autonomous ships. Automatic situational awareness, risk detection, and i...
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A Novel Robust Control and Optimal Design for Fuzzy Unmanned Surface Vehicles (USVs)
A novel high-order robust control is proposed for unmanned surface vehicles (USVs) steering dynamic systems. We creatively adopt the fuzzy set-based characterization to describe the uncertainty. In this way, t...
