8 Result(s)
within
Article
Hong-** Liang
Artificial Intelligence
Computational Intelligence
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Article
End-to-End Entity Detection with Proposer and Regressor
Named entity recognition is a traditional task in natural language processing. In particular, nested entity recognition receives extensive attention for the widespread existence of the nesting scenario. The la...
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Article
DCTN: a dense parallel network combining CNN and transformer for identifying plant disease in field
Crop diseases can have a detrimental impact on crop growth, resulting in a significant reduction in crop yield. Therefore, accurate detection of these diseases is crucial for enhancing crop productivity. Despi...
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Article
Weibull statistical modeling for textured image retrieval using nonsubsampled contourlet transform
In this paper, we proposed a new framework for textured image retrieval, which is based on Weibull statistical distribution and nonsubsampled contourlet transform. Firstly, the image is decomposed into one low...
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Article
Projection-Based PROMETHEE Methods Based on Hesitant Fuzzy Linguistic Term Sets
This paper proposes two extended projection-based preference ranking organization methods for enrichment evaluations for multi-criteria decision making with hesitant fuzzy linguistic term sets (HFLTSs). We fir...
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Study on optimization of anti-collision algorithm for mixed query tree
This paper studies the hybrid query tree algorithm, which uses the combined information of the largest and smallest collision bits to classify the markers. The labels are placed in four matrices to reduce coll...
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Article
\(k^{-}\) -anonymization of multiple shortest paths
The preservation of privacy on information networks has been studied extensively in recent years. Although early work concentrated on preserving sensitive node information and link information to prevent re-id...
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Article
Open AccessFeature selection and replacement by clustering attributes
Feature selection is to find useful and relevant features from an original feature space to effectively represent and index a given dataset. It is very important for classification and clustering problems, whi...
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Article
Mining fuzzy sequential patterns from quantitative transactions
Many researchers in database and machine learning fields are primarily interested in data mining because it offers opportunities to discover useful information and important relevant patterns in large database...
