Sapna Kadakadiyavar
Biographic Data
| ID | 8430336 |
|---|---|
| NAME | Sapna Kadakadiyavar |
| GIVEN NAMES | Sapna |
| FAMILY NAME | Kadakadiyavar |
| SIGNATURE | KADAKADIYAVAR S |
| 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 |
Resoluting multispectral image using image fusion and CNN model
This paper mainly focus on multispectral image for Entertainment purpose, with such application the quality of the image is an important factor that affects the accuracy of the recognition. Due to hardware limitation, multispectral imaging device may fails to generate high resolution (HR) image. In order to overcome the issue, here we proposes multispectral image super-resolution algorithm (MISR), by fusing low-resolution (LR) multispectral image…
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.
Resoluting multispectral image using image fusion and CNN model
This paper mainly focus on multispectral image for Entertainment purpose, with such application the quality of the image is an important factor that affects the accuracy of the recognition. Due to hardware limitation, multispectral imaging device may fails to generate high resolution (HR) image. In order to overcome the issue, here we proposes multispectral image super-resolution algorithm (MISR), by fusing low-resolution (LR) multispectral image…
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 …
Artificial Intelligence (2 works) · Computer Science (2 works) · Advanced Image Fusion Techniques (1 work) · Advanced Statistical Process Monitoring (1 work) · Artificial neural network (1 work) · Chart (1 work) · Computer vision (1 work) · Control chart (1 work) · Data mining (1 work) · Engineering (1 work)