122 Result(s)
within
English
Computer Science
Artificial Intelligence
Fan** Li
Chapter
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Chapter and Conference Paper
Asymptomatic Carriers are Associated with Shorter Negative Conversion Time in Children with Omicron Infections
Objective: Among the Omicron carriers, asymptomatic ones should be paid close attention to due to their silence in clinical symptoms and uncertainty in secondary transmission. The clinical characteristics asso...
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Chapter
Prospectives of Further Developments and Applications of Approximate Knowledge Interpolation
This final chapter concludes the book. Firstly, it provides a summary of the topics presented in the preceding chapters, including an emphasis on the recent advances in approximate knowledge interpolative reas...
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Chapter and Conference Paper
Robust Self-contact Detection Based on Keypoint Condition and ControlNet-Based Augmentation
Existing self-contact detection methods have difficulty detecting dense per-vertex self-contact. Dataset collection for existing self-contact detection methods is costly and inefficient, as it requires differe...
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Chapter and Conference Paper
Design of Push Algorithm for Individualized Course Content of College Public Art Education Online Education
In order to improve the adaptability of online education personalized course push resources and user demand resources, and reduce the push time, a new push method is designed for online education personalized ...
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Chapter and Conference Paper
Embedded Computing Course Design for Internet of Things and Smart Things Applications
With the rapid advancement of IoT technology, IoT education has emerged as a new challenge in university education. A course named “Smart Hardware and Intelligent Systems” is designed to target for undergradua...
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Chapter
Practical Integrated Weighted Approximate Reasoning
Pattern-matching-based approximate reasoning methods (e.g. CRI) can be effective and efficient when applicable, while FRI methods work well when facing incomplete knowledge bases. To maximise the benefits of b...
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Chapter and Conference Paper
A New Approach for Ontology Generation from Relational Data Design Patterns
Knowledge graphs can effectively manage domain knowledge such as entities, properties, relations and events. Recent years have witnessed quite a few successful AI applications with the help of knowledge graphs...
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Chapter and Conference Paper
A Method for Sharing Economic Law Teaching Curriculum Resources Based on WEB Data Mining
In order to address the shortcomings of low sharing accuracy and long waiting time for shared tasks in existing course resource sharing methods, this paper proposes a teaching course resource sharing method ba...
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Chapter and Conference Paper
ASEV: Anonymous and Scored-Based E-Voting Protocol on Blockchain
E-voting protocols based on the blockchain can ensure secure and fair voting without a trusted third party. Nonetheless, the majority of current blockchain-based voting protocols only permit yes/no voting for ...
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Chapter
Attribute Weighting and Weighted Fuzzy Rule Bases
In conventional fuzzy inference systems, the if-then rules available are typically represented in a flat form without differing the importance levels amongst the antecedent attributes, and therefore, all attribut...
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Chapter
Attribute-Weighted Fuzzy Interpolative Reasoning
As exhibited previously, the weights of individual rule antecedent attributes can be computed through a reverse engineering procedure applied to the given fuzzy rule base. As such, the unrealistic assumption t...
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Chapter
Practical Application to Interpretable Medical Risk Analysis
Attributes of weighted fuzzy rule interpolation (FRI) techniques have seen successful applications over a wide range of applications, as demonstrated in the preceding chapters, covering tasks such as pattern r...
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Chapter
Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Inference Systems
Fuzzy set theory (Zadeh (Inf Control 8(3):338–353, 1965)) and fuzzy logic have gained rapid developments in a variety of scientific disciplines, including mathematics, engineering, and computer science. They a...
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Chapter
Weighted Fuzzy Interpolative Reasoning
Unlike classical rule-based inference that performs direct pattern matching between observations and the given rules, fuzzy rule interpolation (FRI) supports approximate reasoning with sparse rule bases where ...
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Chapter
Attribute-Weighted Fuzzy Rule-Based Inference
Many computational techniques have been established to perform approximate reasoning, including the popular compositional rule of inference (CRI) [15], approximate analogical reasoning schema (AARS) [11, 12], and...
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Chapter
Framework of Approximate Knowledge Interpolation
Fuzzy interpolative reasoning plays an important role in fuzzy rule-based inference systems, facilitating the extension of the capability of approximate reasoning when dealing with incomplete knowledge. This i...
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Chapter and Conference Paper
Kinematic Analysis of Overrunning on a Swing Arm Tracked Mobile Chassis
Kinematic analysis is carried out for the structure of the swing-arm tracked mobile chassis. Forward and reverse kinematic analysis and modeling are performed for the most important over-barrier motion of the ...
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Chapter and Conference Paper
Microwave Absorption Properties of Double-Layer Absorbing Material Based on Carbonyl Iron and Graphene Composites
It is reported that develo** microwave absorbers with impedance matching and high efficiency electromagnetic absorbing performance is still extremely challenging. Herein, we report the microwave absorption p...
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Chapter and Conference Paper
An Analysis for Thermal Conductivity of Graphene/Polymer Nanocomposites
Graphene/polymer nanocomposites have attracted much more attention due to its high thermal conductivity up to 5300 W/mK, as well as the lightweight, noncorrosive and elastic properties of the polymer matrix. A...
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Chapter and Conference Paper
Diversified Contrastive Learning For Few-Shot Classification
We argue that the current few-shot learning, which only uses contrastive learning as an auxiliary task, cannot fully realize the potential of contrastive learning. In this paper, we take a deeper exploration o...
