16 Result(s)
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Article
Fan** Li
Artificial Intelligence
Computational Intelligence
Control, Robotics, Mechatronics
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Article
A novel forecasting model based on the raised ordered pair fuzzy time series and fuzzy implication
In fuzzy time series (FTS) based forecasting models, FTS is utilized to depict the characteristic of time series. In the constructed FTS of the existing models, each moment consists of a fuzzy set to reflect t...
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Article
Deep feature network with multi-scale fusion for highly congested crowd counting
In this paper, we propose a deep feature network with multi-scale fusion (DFNet) for addressing the problem of crowd counting in highly congested noisy scenes. DFNet contains three modules: feature encoder, fe...
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Composite fault diagnosis of traction motor of high-speed train based on support vector machine and sensor
The body of high-speed train is the most closely related part with passengers in the process of train operation. Traction motor is not only the power source of high-speed train, it is also the basic unit form ...
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Machine learning-based AI approaches for personalized smart education systems using entropy and TOPSIS approach
We know that in today's technologically sophisticated world, artificial intelligence (AI) and machine learning (ML)-based methods are serving a very positive role in executing challenging and time-consuming ta...
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Open AccessThe Subject Accessibility of Ideological and Political Courses for Electrical and Electronic Majors
Electronics and electricity are an integral part of reality. With the continuous development of society and social progress, electrical and electronic technology and theory are widely used in many industries. ...
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On rough set based fuzzy clustering for graph data
Data clustering refers to partition the original data set into some subsets such that every vertex belongs to one or more subsets at the same time. For graph data that composed by attribute information of vert...
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Open AccessJoint Transformer and Multi-scale CNN for DCE-MRI Breast Cancer Segmentation
Automatic segmentation of breast cancer lesions in dynamic contrast-enhanced magnetic resonance imaging is challenged by low accuracy of delineation of the infiltration area, variable structure and shapes, lar...
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Relational structure predictive neural architecture search for multimodal fusion
Design strategies of model architecture greatly affect the performance of tasks for multimodal classification. Neural network architectures in traditional models are designed manually, depending on human under...
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Adaptively local consistent concept factorization for multi-view clustering
Many real-world datasets consist of multiple views of data items. The rough method of combining multiple views directly through feature concatenation cannot uncover the optimal latent structure shared by multi...
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Sentence pair modeling based on semantic feature map for human interaction with IoT devices
The rapid development of Internet of Things (IoT) brings an urgent requirement on intelligent human–device interactions using natural language, which are critical for facilitating people to use IoT devices. Th...
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Integrate new cross association fuzzy logical relationships to multi-factor high-order forecasting model of time series
In any multi-factor high-order fuzzy logical relationship (FLR) based forecasting model, a FLR reflects the influence of both the main factor (the forecasted factor) and all the influence factors on the main f...
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One-step multi-view spectral clustering by learning common and specific nonnegative embeddings
Multi-view spectral clustering is a hot research area which has attracted increasing attention. Most existing multi-view spectral clustering methods utilize a two-step strategy. The first step obtains a common...
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A self-adaptive preference model based on dynamic feature analysis for interactive portfolio optimization
In financial markets, there are various assets to invest in. Recognizing an investor’s preferences is key to selecting a combination of assets that best serves his or her needs. Considering the mean–variance m...
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Multi-view clustering via spectral embedding fusion
Multi-view learning, such as multi-view feature learning and multi-view clustering, has a wide range of applications in machine learning and pattern recognition. Most previous studies employ the multiple data ...
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Open AccessImproving fuzzy rule interpolation performance with information gain-guided antecedent weighting
Fuzzy rule interpolation (FRI) makes inference possible when dealing with a sparse and imprecise rule base. However, the rule antecedents are commonly assumed to be of equal significance in most FRI approaches...
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Open AccessHandwritten Chinese character recognition using fuzzy image alignment
The task of handwritten Chinese character recognition is one of the most challenging areas of human handwriting classification. The main reason for this is related to the writing system itself which encompasse...
