| Autor: |
Gopi, Bhojaraju, Rama, A. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2871 Issue 1, p1-5, 5p |
| Abstrakt: |
This research intends to learn how road design affects the national highways in Tamil Nadu by using a support vector machine strategy and an innovative K-Nearest Neighbor ensemble technique. Using a support vector machine, the study is carried out using a sample size of 10. Run a small set of 10 items through the Hive Algorithm. The G-power calculation takes into consideration and tests two groups: the power group (80% of the total) and the environment ratio. The value of alpha is 0.05. The results: The K-Nearest Neighbor Algorithm achieved an impressive success rate of 92.7%. There seems to be a statistically significant difference between the support vector machine method and the new K-Nearest Neighbor ensemble technique (p=0.000). According to our findings, the accuracy with which we can ascertain the impact of road design in Tamil Nadu on the frequency of traffic-related injuries and accidents is substantially affected by various K-Nearest Neighbor Algorithm techniques using varying seed values. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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