V Rajinikanth
Datos Biográficos
| ID | 8330672 |
|---|---|
| NOMBRE | V Rajinikanth |
| NOMBRES | V |
| APELLIDO | Rajinikanth |
| FIRMA | RAJINIKANTH V |
| AFILIACIONES | Saveetha University |
| ORCID | 0000-0003-3897-4460 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 0 |
A framework to distinguish healthy/cancer renal CT images using the fused deep features
Introduction: Cancer happening rates in humankind are gradually rising due to a variety of reasons, and sensible detection and management are essential to decrease the disease rates. The kidney is one of the vital organs in human physiology, and cancer in the kidney is a medical emergency and needs accurate diagnosis and well-organized management. Methods: The proposed work aims to develop a framework to classify renal computed tomography (CT) im…
A Multistage Heterogeneous Stacking Ensemble Model for Augmented Infant Cry Classification
Understanding the reason for an infant's cry is the most difficult thing for parents. There might be various reasons behind the baby's cry. It may be due to hunger, pain, sleep, or diaper-related problems. The key concept behind identifying the reason behind the infant's cry is mainly based on the varying patterns of the crying audio. The audio file comprises many features, which are highly important in classifying the results. It is important to…
Sin obras prominentes en esta página.
A Multistage Heterogeneous Stacking Ensemble Model for Augmented Infant Cry Classification
Understanding the reason for an infant's cry is the most difficult thing for parents. There might be various reasons behind the baby's cry. It may be due to hunger, pain, sleep, or diaper-related problems. The key concept behind identifying the reason behind the infant's cry is mainly based on the varying patterns of the crying audio. The audio file comprises many features, which are highly important in classifying the results. It is important to…
A framework to distinguish healthy/cancer renal CT images using the fused deep features
Introduction: Cancer happening rates in humankind are gradually rising due to a variety of reasons, and sensible detection and management are essential to decrease the disease rates. The kidney is one of the vital organs in human physiology, and cancer in the kidney is a medical emergency and needs accurate diagnosis and well-organized management. Methods: The proposed work aims to develop a framework to classify renal computed tomography (CT) im…
Artificial Intelligence (2 obras) · Computer Science (2 obras) · Advanced X-ray and CT Imaging (1 obras) · AI in cancer detection (1 obras) · Artificial neural network (1 obras) · Cancer (1 obras) · Cancer detection (1 obras) · Computed tomography (1 obras) · Convolutional neural network (1 obras) · Crying (1 obras)