43 Result(s)
within
Fan** Li
Artificial Intelligence
Computational Intelligence
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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
Open AccessA Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO
Feature selection can be seen as a multi-objective task, where the goal is to select a subset of features that exhibit minimal correlation among themselves while maximizing their correlation with the target la...
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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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Chapter and Conference Paper
Exploring the Linguistic Model to Operate on Architectural Façade Illumination Design
Designers utilize the compositions to express their feelings and thoughts. However, it is difficult to have corresponding command of design theory for people in different fields. For architects, it is not comm...
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Chapter and Conference Paper
Building a Credit Evaluation Model for C2C E-commerce Websites Under the Guidance of Decision Trees
Recently, C2C online shop** has gained popularity among consumers. However, with technological advancements, the virtualization, anonymization, and shortening of transaction time in online trading have led t...
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Article
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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Article
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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Article
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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Article
Open AccessFSL: federated sequential learning-based cyberattack detection for Industrial Internet of Things
Industrial Internet of Things (IIoT) brings revolutionary technical supports to modern industries. However, today’s IIoT still faces the challenges of modeling varying time-series in common data isolation whil...
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Article
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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Article
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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Article
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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Article
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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Chapter and Conference Paper
Regional Detection of Cervical Lesions Based on Self-attention Mechanism and Multi-scale Feature Enhancement
The grade and affected area of cervical epithelial neoplasia (CIN) directly influence the probability of transformation into cervical cancer and the effect of early preventive treatment. This paper proposes a ...
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Chapter and Conference Paper
Remote Mechanical Monitoring Electronic Technology Based on KNN Optimization Algorithm
With the further combination of Internet and artificial intelligence technology, remote monitoring system based on artificial intelligence and Internet technology emerges as the times require. The operation an...
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Chapter and Conference Paper
A Distributed Optimal Formation Control for Multi-UGV System
This paper investigates distributed optimal formation control for the multi-agent system of UGV (Unmanned Ground Vehicle). The model of UGV was analyzed starting from a single Mecanum wheel, establishing the r...
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Article
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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Article
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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Article
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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Chapter and Conference Paper
A Precise Landing Method for Unmanned Aerial Vehicle Visual Apron and Its Application
In this method, we propose a method for precise landing and landing of drones on the visual apron, which can replace DJI’s (Dajiang-Innovations) fixed-point return and traditional visual positioning algorithms...
