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Deepa, K.
- Classification System for Identifying the Chemical Structure Using Support Vector Machine
Abstract Views :284 |
PDF Views:2
Authors
Affiliations
1 Department of CSE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
1 Department of CSE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
Source
International Journal of Emerging Trends in Science & Technology, Vol 3, No 1 (2017), Pagination: 10-14Abstract
In laboratory, each effort is taken only for identifying the unknown chemicals. All the chemicals are having its own characteristics and structure of molecules such as lines, hexagons and pentagons. The chemical database is used to find the detailed information of that molecule. Even though, the current database does not provide the up to date chemical information. To overcome the above identified problem, this paper introduces the kernel based support vector machine for identifying the chemicals using its structure. The SVM's are becoming more popular algorithm for identification of variety of chemicals in chemical applications. Final result shows the chemical identification and performance analysis of this proposed system.Keywords
Chemistry, Classification, Molecules, Support Vector Machine.
References
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- Identification of PAP Smear Image Using Image Processing Techniques
Abstract Views :156 |
PDF Views:0
Authors
K. Deepa
1,
K. Priyanka
1
Affiliations
1 Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
1 Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
Source
International Journal of Emerging Trends in Science & Technology, Vol 4, No 2 (2018), Pagination: 9-11Abstract
Nowadays medical image processing is a very important activity of the current techniques and it helps to diagnosis the different types of diseases. In image processing various steps and different techniques are used to retrieve the required image. The main objective of this paper, to discuss about the segmentation techniques, feature extraction methods and image classification techniques. These techniques are helps to select the appropriate method and provide a high accuracy and sensitivity of the given image. Particularly cervical images take to retrieve the data, which cervical cancer is the second most cancer among the world. So this type of image retrieval is help to decrease the women death due to cervical cancer.Keywords
Accuracy And Sensitivity, Classification, Feature Extraction, Medical Image Processing, Segmentation.References
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- P. Santhi, and K. Deepa, “Classification system for identifying the chemical structure using support vector machine,” International Journal of Emerging Trends in Science and Technology, vol. 3, no. 1, pp. 10-14, 2017.
- Smart India Agricultural Information Retrieval System
Abstract Views :117 |
PDF Views:0
Authors
Affiliations
1 Department of CSE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
1 Department of CSE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
Source
International Journal of Emerging Trends in Science & Technology, Vol 6, No 2 (2020), Pagination: 13-23Abstract
In the contribution of Information Retrieval System in Agricultural field provide innovative idea and improve cognitive level of farmer while farming. It evaluates the necessary requirements of farmer, Transporting farmer query to Exports, distributing data through web service without complication. The main aim of Information Retrieval system is to supply right information at the hand of right user at a right time. Hence, we implement multiple regression techniques with Search Based Analysis. To improve the Quality of data parsing between server to client and decrease the response time with high precision of Data respectively.Keywords
Dataset Retrieval, Multiple Regression, Query ComputationReferences
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