V. Ulagamuthalvi
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View article: DentViT-RCNN: A Multi-Stage Deep Learning Framework for Precise Localization and Classification of Dental Cysts
DentViT-RCNN: A Multi-Stage Deep Learning Framework for Precise Localization and Classification of Dental Cysts Open
Oral pathologies, like dental cysts, present significant difficulties for timely diagnosis and treatment, affecting public health outcomes. This study proposes a novel deep-learning framework for automatically categorizing dental cysts in …
View article: Segmentation of tumor regions using 3D-UNet in magnetic resonance imaging
Segmentation of tumor regions using 3D-UNet in magnetic resonance imaging Open
Brain tumor has been a severe problem for a few decades ago. With the advancement in medical technologies, a brain tumor can be treated if observed earlier. This paper aims to segment and classify the tumor regions from Magnetic Resonance …
View article: Inter and Intra Slice Reduction in Brain Tumor Segmentation
Inter and Intra Slice Reduction in Brain Tumor Segmentation Open
Medical Image Segmentation is a process of segmenting abnormalities from normal tissues.Due to the increasing growth of deep learning, there are various deep network models used to segment 3D medical images.Recently, U-Net and V-Net are us…
View article: Hybrid intrusion detection system using blockchain framework
Hybrid intrusion detection system using blockchain framework Open
Data security and confidentiality are major goals now days due to the extensive use of the internet for data sharing. In modern era, most of the networks are compromised by intruders to grab access to private, confidential, and highly secu…
View article: Blockchain: Secured Solution for Signature Transfer in Distributed Intrusion Detection System
Blockchain: Secured Solution for Signature Transfer in Distributed Intrusion Detection System Open
Exchange of data in networks necessitates provision of security and confidentiality. Most networks compromised by intruders are those where the exchange of data is at high risk. The main objective of this paper is to present a solution for…
View article: A Comparative Analysis on Machine Learning Models for Accurate Identification of Medical Plants
A Comparative Analysis on Machine Learning Models for Accurate Identification of Medical Plants Open
Plants are essential for human life. They help people breathe, provide food, clothing, medicine, and fuel, and also safeguard the environment. Plants can be loaded with medicinal properties and possess active substances that can be used fo…
View article: A Group Labelled Classification Model for Accurate Medical Plant Detection Used in Drug Preparation
A Group Labelled Classification Model for Accurate Medical Plant Detection Used in Drug Preparation Open
The use of medical plants in the preparation of medicines has been increased in recent years. Medical plants are an essential component in the production of medicinal products. Medicines are made from root powder or plant leaves. When the …
View article: Hybrid Architecture for Distributed Intrusion Detection System Using Semi-supervised Classifiers in Ensemble Approach
Hybrid Architecture for Distributed Intrusion Detection System Using Semi-supervised Classifiers in Ensemble Approach Open
Security of data is becoming a big treat today because of modern attacks. All the data passing through network is at risk as intruders can easily access and modify data. Security to the network is provided using Intrusion Detection System …
View article: Attribute Based Access Control System for Cloud Storage using Block Chain
Attribute Based Access Control System for Cloud Storage using Block Chain Open
The cornerstone of data security has been get to control. Regularly, User information is abused and clients are neglectful to the utilization of their information by unapproved parties. Current techniques to give stockpiling to private inf…
View article: Role of Technical Teacher Training Institution in a Knowledge based economy
Role of Technical Teacher Training Institution in a Knowledge based economy Open
Fast proliferation smart systems and smart technologies provides academic institutions including technical teachers training institutions, faculty, students, professional staff and administration staff with enormous opportunities in terms …
View article: Selection of Test Case Features Using Fuzzy Entropy Measure and Random Forest
Selection of Test Case Features Using Fuzzy Entropy Measure and Random Forest Open
Faults are extracted from the source code, from the pre -processed metrics and the related fault data.The generated faults are represented as a data set and are categorised into code, design and other features.Selection of features and ide…
View article: Hybrid Architecture for Distributed Intrusion Detection System
Hybrid Architecture for Distributed Intrusion Detection System Open
In the field of information security, attack detection and protection of information from intruders become a new area of research now a days.Due to ever changing technologies and modern methodologies intruders use polymorphic mechanism to …