Wuttipong Kusonkhum
Biographic Data
| ID | 6270982 |
|---|---|
| NAME | Wuttipong Kusonkhum |
| GIVEN NAMES | Wuttipong |
| FAMILY NAME | Kusonkhum |
| SIGNATURE | KUSONKHUM W |
| AFFILIATIONS | Khon Kaen University |
| ORCID | 0000-0002-0456-5397 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Comparative multi-algorithm AI framework for real-time carbon emission optimization in a medium-scale irrigation project in Thailand
This study develops and validates a real-time carbon monitoring framework that integrates automated meteorological data with operational construction logs to enhance environmental impact assessment (EIA) methodology for tropical infrastructure projects. Leveraging 2332 h of synchronized climate–operational data from a reinforced-concrete sluice gate project in Thailand, the framework addresses critical gaps in carbon governance for medium-scale i…
Comparing data mining methods for predicting cost construction projects
This research examines three data mining approaches employing cost management datasets from 391 Thai contractor companies to investigate the predictive modeling of construction project failure with nine parameters. Artificial neural networks, naive bayes, and decision trees with attribute selection are some of the algorithms that were explored. In comparison to artificial neural network’s (91.33%) and naive bays’ (70.01%) accuracy rates, the deci…
No prominent works on this page.
Comparing data mining methods for predicting cost construction projects
This research examines three data mining approaches employing cost management datasets from 391 Thai contractor companies to investigate the predictive modeling of construction project failure with nine parameters. Artificial neural networks, naive bayes, and decision trees with attribute selection are some of the algorithms that were explored. In comparison to artificial neural network’s (91.33%) and naive bays’ (70.01%) accuracy rates, the deci…
Comparative multi-algorithm AI framework for real-time carbon emission optimization in a medium-scale irrigation project in Thailand
This study develops and validates a real-time carbon monitoring framework that integrates automated meteorological data with operational construction logs to enhance environmental impact assessment (EIA) methodology for tropical infrastructure projects. Leveraging 2332 h of synchronized climate–operational data from a reinforced-concrete sluice gate project in Thailand, the framework addresses critical gaps in carbon governance for medium-scale i…
Adaptive Management (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · BIM and Construction Integration (1 works) · Business (1 works) · Carbon capture and storage (timeline (1 works) · Climate change (1 works) · Computer Science (1 works) · Construction Project Management and Performance (1 works) · Cost estimate (1 works)