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Dr Vani Ashok

vidwan id: 351022
Female

Associate Professor, Department of Computer Science and Engineering
JSS Science and Technology University

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 15
Books 0
Proceedings 0

Publications

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Scopus

Citations 48
h-index 3

CrossRef

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Citations 75
h-index 5
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Bio

Computer Science and Engineering

Personal Details

  • Female
  • Associate Professor , JSS Science and Technology University
  • Department of Computer Science and Engineering, JSS Science and Technology University
PhD
Other Institute 2022
M.Tech
Sri Jayachamarajendra College of Engineering, Mysuru 2003
B.E
Other Institute 1998
Associate Professor Feb 2006 – Present
JSS Science and Technology University | Department of Computer Science and Engineering
Assistant Professor Sep 2000 – Feb 2006
Vardhman Mahavir Medical College and Safdarjung Hospital

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Co-Authors (2)

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JSS Science and Technology University

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Scholarly Work

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A Novel Soft X-Ray Image Benchmark Dataset for Automatic, Non-destructive Internal Quality Detection of Mango Fruits

Vani Ashok
- Application No. : 202141035062 Filed : 04-08-2021
Published : 13-08-2021 Published

Scholarly Publications

Customer segmentation in E-commerce

Open Access
article
Authors: Ajay Bhati Supreeth Singh Thakur, Vani Ashok, Rahul R Kamath, Adithya R K

Diabetic Retinopathy Detection using Retinal Images and Deep Learning Model

Open Access
article
Authors: Vani Ashok, Navneet Hosmane, Ganesh Mahagaonkar, Aditya Gudigar, Anvith P

Combining Discriminant Analysis and Neural Networks for Detection of Internal Defects in Mangoes using X-Ray Imaging Technique

Open Access
article

Comprehensive Home Automation using Internet of Things

Open Access
conference paper
Authors: Vani Ashok, Smitha S, Shubhashree Hebbar, Rudali Huidrom

A comparative study of feature extraction methods in defect classification of mangoes using neural network

Open Access
Conference Paper
Authors: Ashok V.;Vinod D.S.

Using K-means Cluster and Fuzzy C Means for Defect Segmentation in Fruits

Open Access
inproceedings

Automatic quality evaluation of fruits using Probabilistic Neural Network approach

Open Access
Conference Paper