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V Rajinikanth

Datos Biográficos

ID8330672
NOMBREV Rajinikanth
NOMBRESV
APELLIDORajinikanth
FIRMARAJINIKANTH V
AFILIACIONESSaveetha University
ORCID0000-0003-3897-4460
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H0
  • A framework to distinguish healthy/cancer renal CT images using the fused deep features

    Open Access•V Rajinikanth, P M Durai Raj Vincent et al.•ARTICLE•Frontiers in Public Health•2023

    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

    Open Access•Vinayak Ravi Joshi, Kathiravan Srinivasan et al.•ARTICLE•Frontiers in Public Health•2022

    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

    Open Access•Vinayak Ravi Joshi, Kathiravan Srinivasan et al.•ARTICLE•Frontiers in Public Health•2022

    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

    Open Access•V Rajinikanth, P M Durai Raj Vincent et al.•ARTICLE•Frontiers in Public Health•2023

    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)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae