G Nirmala
Biographic Data
| ID | 8430338 |
|---|---|
| NAME | G Nirmala |
| GIVEN NAMES | G |
| FAMILY NAME | Nirmala |
| SIGNATURE | NIRMALA G |
| AFFILIATIONS | Sri Siddhartha Medical College |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Business analysis and modelling of flight delays using artificial intelligence
In the current day, with the growth of technology the number of people travelling by flights has increased. Consistently a significant number of flights are delayed or crossed out because of numerous of reasons. These delays bother travelers. These delays also cost a lot to the aircraft organization. Flight delays negatively affect carriers, air terminals and travelers. There are different methodologies used to manufacture flight delays expectati…
Recognition efficiency enhancement of control chart pattern using ensemble MLP neural network
chart pattern for six different fundamental patterns have been proposed. The multilayer perceptron based neural network has applied as an entity to form the ensemble. The loss of generalization property of an individual neural network has been fulfilled by providing the diversity in the training data for the individual entity of ensemble. The outcome of individual recognizer has combined over their decision value to include the outcome knowledge …
No prominent works on this page.
Business analysis and modelling of flight delays using artificial intelligence
In the current day, with the growth of technology the number of people travelling by flights has increased. Consistently a significant number of flights are delayed or crossed out because of numerous of reasons. These delays bother travelers. These delays also cost a lot to the aircraft organization. Flight delays negatively affect carriers, air terminals and travelers. There are different methodologies used to manufacture flight delays expectati…
Recognition efficiency enhancement of control chart pattern using ensemble MLP neural network
chart pattern for six different fundamental patterns have been proposed. The multilayer perceptron based neural network has applied as an entity to form the ensemble. The loss of generalization property of an individual neural network has been fulfilled by providing the diversity in the training data for the individual entity of ensemble. The outcome of individual recognizer has combined over their decision value to include the outcome knowledge …
Computer Science (2 works) · Advanced Statistical Process Monitoring (1 work) · Aeronautics (1 work) · Aerospace Engineering (1 work) · Air Traffic Management and Optimization (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Aviation Industry Analysis and Trends (1 work) · Chart (1 work) · Cockpit (1 work)