Browsing by Author "Yu, Xi"
Now showing items 1-14 of 14
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A Fitted Fuzzy-rough Method for Missing Data Imputation
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Missing data imputation is a fundamental task for reducing uncertainty and vagueness in medical dataset. Fuzzyrough set has taken very important role to accurate representation original information. This paper proposes ... -
A novel approach to assess the products' global environmental impacts by considering pollution transfer phenomena
( Inderscience Enterprises Ltd. , 2014 , Article)As environmental issues become more serious, governments and customers are more sensitive about the environmental impacts which are produced by products. Many methods have been proposed to assess environmental impacts. The ... -
A pattern-aware method for maximal fuzzy supplement frequent pattern mining
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)Advanced pattern mining to extract the hidden but useful information by using proper structure is vital important for efficient information mining in large-scale practical datasets. The existing algorithms have not been ... -
A sensitivity analysis approach to identify key environmental performance factors
( Hindawi Publishing Corporation , 2014 , Article)Life cycle assessment (LCA) is widely used in design phase to reduce the product's environmental impacts through the whole product life cycle (PLC) during the last two decades. The traditional LCA is restricted to assessing ... -
An environmental burden shifting approach to re-evaluate the environmental impacts of products
( Springer New York LLC , 2016 , Conference)Life cycle assessment (LCA) can help enterprises evaluate their product's environmental impacts through the entire product life cycle (PLC). On the basis of the evaluation result, phases which need to take activities to ... -
An Improvement of Support Vector Machine Imputation Algorithm Based on Multiple Iteration and Grid Search Strategies
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Data missing is a vitally important issue that influences the classification results in medical field. This paper proposes an improved support vector machine (SVM) imputation algorithm by using strategies of pre-imputation, ... -
Deep learning and cultural heritage: The CEPROQHA project case study
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Cultural heritage takes an important part of the history of humankind as it is one of the most powerful tools for the transfer and preservation of moral identity. As a result, these cultural assets are considered highly ... -
Digital heritage enrichment through artificial intelligence and semanticweb technologies
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Art and culture represent substantial ways to transfer the history of humans across civilizations and epochs. Preserving artwork and cultural objects is thus important and the focus of multiple institutions and governments ... -
Hesitant extension of fuzzy-rough set to address uncertainty in classification
( IOS Press , 2018 , Article)Although fuzzy rough sets have been considered as a powerful theory to handle real-valued data with uncertainty, fuzzy rough sets based algorithms reached their limit of conveying hesitation information in the processes ... -
Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In real cases, missing values tend to contain meaningful information that should be acquired or should be analyzed before the incomplete dataset is used for machine learning tasks. In this work, two algorithms named jointly ... -
Investigating low-delay deep learning-based cultural image reconstruction
( Springer Science and Business Media Deutschland GmbH , 2020 , Conference)Numerous cultural assets host a great historical and moral value, but due to their degradation, this value is heavily affected as their attractiveness is lost. One of the solutions that most heritage organizations and ... -
The Implementation of A Crop Diseases APP Based on Deep Transfer Learning
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Classifying the severity of crop diseases is the staple-basic element of the plant pathology for making disease prevent and control strategies. The diagnosis of disease needs timeliness and accuracy. Thanks to the development ... -
The research on detection of crop diseases ranking based on transfer learning
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Crop diseases are a major global threat to food security. Because the lack of agriculture experts or necessary facilities, it is difficult to determine the type of disease, as well as the degree of disease in time, which ... -
Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy-Rough Sets and Their Applications in Classification
( IEEE Computer Society , 2019 , Article)The fusion of hesitant fuzzy set (HFS) and fuzzy-rough set (FRS) is explored and applied into the task of classification due to its capability of conveying hesitant and uncertainty information. In this paper, on the basis ...
