Vaishakh Kunjar
Biographic Data
| ID | 6931830 |
|---|---|
| NAME | Vaishakh Kunjar |
| GIVEN NAMES | Vaishakh |
| FAMILY NAME | Kunjar |
| SIGNATURE | KUNJAR V |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Prediction of the Subgrade Soil California Bearing Ratio Using Machine Learning and Neuro-Fuzzy Inference System Techniques
In the realm of urban geotechnical infrastructure development, accurate estimation of the California Bearing Ratio (CBR), a key indicator of the strength of unbound granular material and subgrade soil, is paramount for pavement design. Traditional laboratory methods for obtaining CBR values are time-consuming and labor-intensive, prompting the exploration of novel computational strategies. This paper illustrates the development and application of…
No prominent works on this page.
Prediction of the Subgrade Soil California Bearing Ratio Using Machine Learning and Neuro-Fuzzy Inference System Techniques
In the realm of urban geotechnical infrastructure development, accurate estimation of the California Bearing Ratio (CBR), a key indicator of the strength of unbound granular material and subgrade soil, is paramount for pavement design. Traditional laboratory methods for obtaining CBR values are time-consuming and labor-intensive, prompting the exploration of novel computational strategies. This paper illustrates the development and application of…
Adaptive neuro fuzzy inference system (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Asphalt Pavement Performance Evaluation (1 work) · California bearing ratio (1 work) · Civil engineering (1 work) · Computer Science (1 work) · Engineering (1 work) · Fuzzy control system (1 work) · Fuzzy logic (1 work)