The use of Ontology in Diagnosing LC: A Detailed Framework Discussion-Reference-Cited by-同舟云学术

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The use of Ontology in Diagnosing LC: A Detailed Framework Discussion

Published:2024-05-14 Issue: Volume: Page:378-381
ISSN:
Container-title:2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Beevi S.Zulaikha¹,Kavitha A.²,Bhagya Sri G³,Muthu Bala N⁴,Washeel Oday Faris⁵,Abdtawfeeq Tareq Hafdhi⁶

Affiliation:

1. Karpagam College of Engineering Myleripalayam,Department of CSE,Coimbatore,641032

2. St. Joseph’s college of engineering,Department of information technology,Chennai

3. (AIML) CVR College of Engineering,Department of ET-CSE,Hyderabad

4. Kalasalingam Academy of Research and Education,Department of CSE,Krishnankoil,Tamil Nadu,626126

5. National University of Science and Technology,Collage of Nursing,Dhi Qar,Iraq,64001

6. Al-Farahidi University,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616389/10616398/10616830.pdf?arnumber=10616830

Reference16 articles.

1. Segmentation Of Document Images Using Different Methods Like K-Mean Clustering And Fuzzy Clustering

2. Ensembled Adaptive Fuzzy K-Means With Stochastic Extreme Gradient Boost Big Data Clustering on Geo-Social Networks

3. Improved Fuzzy K-means Clustering Based on Imbalanced Measure of Cluster Sizes

4. Selection of Optimal Number of Clusters and Centroids for K-means and Fuzzy C-means Clustering: A Review

5. Research on Intelligent Evaluation of English Diagnosis System Based on Fuzzy K-means Clustering

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