| Autor: |
Ravi Chakravarthi, R., Anna Palagan, C., Dharamshi, Ravindra Ratilal, Vadivelan, N., Taware, Shrikant |
| Předmět: |
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| Zdroj: |
Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2023, Vol. 27 Issue 3, p1673-1684, 12p |
| Abstrakt: |
In recent education system, project submission is crucial for college students to complete their respective studies. The understudies needed to propose their undertaking before finishing the pre-last year. One of the critical assessment forms like course Project Registration System (PRS) helps the students and their education board to enhance the knowledge and skill level required for competitive world. During project submission, authentication is important to prevent the unauthorized submission of proposal and contrast the signature utilizing classification techniques such as Kernel Based Artificial Neural Network (K-ANN), Kernel Based K-Nearest Neighbor (K-KNN), Kernel Based Self Organizing Map (K-SOM) and Kernel based Support Vector Machine (K-SVM). The data collection based on online digital signature with various students and the proposed classification techniques gives better performance and accuracy compared with other techniques. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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