330 DEVELOPMENT AND VALIDATION OF AN ARTIFICIAL INTELLIGENCE SYSTEM TO OPTIMIZE CLINICIAN REVIEW OF PATIENT RECORDS

2021 ◽  
Vol 160 (6) ◽  
pp. S-64-S-65
Author(s):  
Ethan A. Chi ◽  
Gordon Chi ◽  
Cheuk To Tsui ◽  
Yan Jiang ◽  
Karolin Jarr ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Patient Records ◽  
Artificial Intelligence System ◽  
Intelligence System ◽  
Development And Validation

Tropical Flood Estimation Model Derived from Weather Radar Information

2017 ◽  
Vol 10 (4) ◽  
pp. 73-82
Author(s):  
A. B. Basri ◽  
A. F. Ismail ◽  
K. Badron ◽  
M. H. Khairolanuar ◽  
N. H. M. Sobli
Keyword(s):  
Weather Radar ◽  
Estimation Model ◽  
Flood Estimation ◽  
Radar Information

scholarly journals Use of artificial intelligence for estimating cost of integral bridges

2021 ◽  
Vol 73 (03) ◽  
pp. 265-273
Author(s):  
Stjepan Lakusic
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Cost Estimation ◽  
Construction Projects ◽  
Mean Absolute Error ◽  
Absolute Error ◽  
Estimation Model ◽  
Construction Costs ◽  
The Mean ◽  
Early Phases

Estimation of costs is important in every phase of realisation of construction projects. However, the influence of cost estimation is the highest in early phases as it is then that the decision about accepting the job or withdrawing from the project is made. The quantity of data available in initial phases of the project is smaller compared to subsequent phases, which affects accuracy of cost estimation in such early phases. A research making use of artificial intelligence to estimate construction costs of integral road bridges is presented in the paper. The estimation model is prepared by means of neural networks. The best neural network model has proven to be highly accurate in the estimation of costs based on the mean absolute error, which amounts to 13.40 %.

Sign in / Sign up

Export Citation Format

Share Document