1,774 Result(s)
within
Su** Zhao
Engineering
Artificial Intelligence
Computational Intelligence
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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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Article
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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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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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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Article
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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Article
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...
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Three-way concept lattices triggered by Pythagorean fuzzy set and interval set
Three-way concept lattices offer a robust and flexible framework for analyzing complex data and understanding relationships and patterns within datasets. Their ability to handle uncertainty and ambiguity makes...
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Article
Open AccessFuzzy Neural Network Model for Intelligent Course Development in Music and Dance Education
Interactions are mandatory for online or offline music and dance education to improve understandability and learning efficacy. The course designed for such artistic education incorporates multi-point interacti...
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State Observer-Based Composite Adaptive Fault-Tolerant Fuzzy Control for Uncertain Nonlinear Systems with Quantized Inputs
This work researches the issue of adaptive fault-tolerant fuzzy tracking control for a class of nonlinear systems in strict-feedback form with quantized inputs. The fuzzy logic systems are utilized to approxim...
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Prefilters and fuzzy prefilters on pseudo EQ-algebras
In this paper, we mainly study prefilters and fuzzy prefilters on pseudo EQ-algebras, and give a series of properties of them. To begin with, we give some new results about prefilters on pseudo EQ-algebras and...
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Article
A cascaded embedding method with graph neural network for multi-behavior recommendation
In recommender systems, implicit feedback data is relatively cheap and easy to obtain compared to explicit feedback data, making it widely used in modeling. However, some works consider only single type of use...
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Article
The Comprehensive Analysis of the Effect of Chinese Word Segmentation on Fuzzy-Based Classification Algorithms for Agricultural Questions
Fuzzy logic is the core method for handling uncertainty and vagueness of information in agricultural natural language processing, and it also plays a crucial role in word segmentation and text classification a...
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Article
Improved dense residual network with the coordinate and pixel attention mechanisms for helmet detection
Helmet detection in road surveillance images has become increasingly important with the increasing number of accidents involving two-wheeled electric vehicles and motorcycles. However, small detection targets ...
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Article
Open AccessA Region-Selective Anti-compression Image Encryption Algorithm Based on Deep Networks
In recent years, related research has focused on how to safely transfer and protect the privacy of images in social network services while providing easy access by authorized users. To safeguard privacy, we su...
