20 Result(s)
within
Fan** Li
Artificial Intelligence
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Article
Open AccessMethodology and real-world applications of dynamic uncertain causality graph for clinical diagnosis with explainability and invariance
AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncertain Causality Graph (DUCG) app...
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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
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
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
DEFT: distilling entangled factors by preventing information diffusion
Disentanglement is a highly desirable property of representation owing to its similarity to human understanding and reasoning. Many works achieve disentanglement upon information bottlenecks. Despite their ele...
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Article
Open AccessHuman factors evaluation in VR-based shunting training
Shunting of trains is a task that requires meticulous adherence to all steps to guarantee safety for everyone involved during and after the procedure. These steps are currently taught using classical teaching ...
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Article
Open AccessGPU-Based Dynamic Hyperspace Hash with Full Concurrency
Hyperspace hashing which is often applied to NoSQL data-bases builds indexes by map** objects with multiple attributes to a multidimensional space. It can accelerate processing queries of some secondary attr...
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Article
Open AccessApproximate reasoning with fuzzy rule interpolation: background and recent advances
Approximate reasoning systems facilitate fuzzy inference through activating fuzzy if–then rules in which attribute values are imprecisely described. Fuzzy rule interpolation (FRI) supports such reasoning with ...
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Chapter and Conference Paper
Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model
Sentence semantic matching is the cornerstone of many natural language processing tasks, including Chinese language processing. It is well known that Chinese sentences with different polysemous words or word o...
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Chapter and Conference Paper
Achieving Inclusion with Contextualized User-Sensitive Design
Users and contexts in human-computer interaction systems often have great diversity, which limits the inclusion provided by a single design. Existing user-sensitive design and contextual design methodologies h...
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Chapter and Conference Paper
A Deep Malware Detection Method Based on General-Purpose Register Features
Based on low-level features at micro-architecture level, the existing detection methods usually need a long sample length to detect malicious behaviours and can hardly identify non-signature malware, which wil...
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Article
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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Chapter and Conference Paper
A Novel Approach for Assessing Power Wheelchair Users’ Mobility by Using Curve Fitting
It is important to assess power wheelchair users’ mobility characteristics, which can provide insights about an individual’s quality of life and health status. For practicality considerations, we propose to us...
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Article
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...
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Chapter and Conference Paper
Design and Implementation of Rapid Grading Platform for Shape and Diameter of Oranges Based on Visual C#.NET
Research on digital image processing technology, which began in 1960s, stepped into an active research stage in late 1970s and early 1980s. It was firstly used in industrial and biomedical fields. Although it ...
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Chapter and Conference Paper
Spatial Variability and Lateral Location of Soil Moisture Monitoring Points on Cotton Mulched Drip Irrigation Field
This experiment was conducted from April to September in 2009 in Baotou-lake Farm of Korla city, **njiang region, China. Two experiment schemes were designed for analyzing the spatial variability and lateral o...
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Chapter and Conference Paper
Registration of Brainstem Surfaces in Adolescent Idiopathic Scoliosis Using Discrete Ricci Flow
Adolescent Idiopathic Scoliosis (AIS) characterized by the 3D spine deformity affects about 4% schoolchildren worldwide. Several studies have demonstrated the malfunctioning of postural balance, proprioception...
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Chapter and Conference Paper
Study on the Management System of Farmland Intelligent Irrigation
To achieve the unification of precise irrigation management, the system integrated GSM wireless communication technology, sensor technology, computer technology, automatic monitoring, and control technology in...
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Chapter and Conference Paper
A Hybrid AB-RBF Classifier for Surface Electromyography Classification
In this paper, we aim to classify surface electromyography (sEMG) by using Attribute Bagging-Radial Basis Function (AB-RBF) hybrid classifier. Eight normally-limbed individuals were recruited to participate in...
