Vani Vasudevan
Datos Biográficos
| ID | 8422331 |
|---|---|
| NOMBRE | Vani Vasudevan |
| NOMBRES | Vani |
| APELLIDO | Vasudevan |
| FIRMA | VASUDEVAN V |
| AFILIACIONES | Meenakshi Academy of Higher Education and Research |
| VERIFICADO | No |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 4 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 0 |
Real time Covid-19 facemask detection using deep learning
The COVID-19 pandemic is producing a global health pandemic. According to the World Health Organization (WHO), the utmost effective protection is to wear a face mask in crowded regions/areas. During this pandemic, it is compulsory for every person to wear a mask and maintain social distancing. In the field of Image Processing, Convolutional Neural Networks (CNNs) have risen to prominence as the most common type of image realization/recognition mo…
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 …
Machine learning approaches for sentiment analysis
Sentiment Analysis or Opinion Mining is popular task of Natural Language Processing (NLP) performed on textual data generated by users to know the orientation or sentiment of the text. To perform Sentiment Analysis, it is critical to create an accurate and precise model, machine learning techniques are heavily utilized to build an accurate model. Deep learning and transfer learning techniques have been found to have increased utilization and bett…
Sin obras prominentes en esta página.
Real time Covid-19 facemask detection using deep learning
The COVID-19 pandemic is producing a global health pandemic. According to the World Health Organization (WHO), the utmost effective protection is to wear a face mask in crowded regions/areas. During this pandemic, it is compulsory for every person to wear a mask and maintain social distancing. In the field of Image Processing, Convolutional Neural Networks (CNNs) have risen to prominence as the most common type of image realization/recognition mo…
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 …
Machine learning approaches for sentiment analysis
Sentiment Analysis or Opinion Mining is popular task of Natural Language Processing (NLP) performed on textual data generated by users to know the orientation or sentiment of the text. To perform Sentiment Analysis, it is critical to create an accurate and precise model, machine learning techniques are heavily utilized to build an accurate model. Deep learning and transfer learning techniques have been found to have increased utilization and bett…
Artificial Intelligence (4 obras) · Computer Science (4 obras) · Computer vision (2 obras) · Deep learning (2 obras) · Field (mathematics (2 obras) · Machine learning (2 obras) · Mathematics (2 obras) · Pattern recognition (psychology (2 obras) · Advanced Image Fusion Techniques (1 obra) · Advanced Statistical Process Monitoring (1 obra)