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Dr Ginni Sehgal

vidwan id: 393387
Female

,

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 20
Books 0
Proceedings 0

Publications

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Scopus

Citations 27
h-index 3

CrossRef

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Citations 6
h-index 2
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Bio

Associate Professor with Manav Rachna International Institute of Research and Studies. Working in the domain of medical image analysis with machine learning.

Personal Details

  • Female
  • Manav Rachna International Institute of Research and Studies
Ph.D
Other Institute 2022
M.Tech(CSE)
Other Institute 2010
Associate Professor Apr 2023 – —
Manav Rachna International Institute of Research and Studies | Department of Computer Science and Engineering
Assistant Professor Mar 2010 – Apr 2023
Amity University, Uttar Pradesh | Amity Institute of Information Technology (Noida)

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Organisation (0)

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Co-Authors (4)

Ajay

Dr Ajay Rana

Amity University, Uttar Pradesh

Kishore Kanna

Dr Kishore Kanna R

Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science & Technology, Chennai

Laxman

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Scholarly Work

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RUNNING SLEEVE FOR MOBILE WIRELESS CHARGING

Ginni Arora
Ajay Rana
Akshansh
- Application No. : TEMP/E-1/7023/2021- DEL Filed : 18-02-2021
Published : N/A Filed

AN INTERACTIVE VEHICLE KEY WITH SMARTPHONE CONNECTIVITY

Ginni Arora
Ajay Rana
- Application No. : 202011054159 Filed : 12-12-2020
Published : N/A Filed

Heat Reduction Device for Personal Protective Equipment Kit

Ginni Arora
Ajay Rana
Akshansh
Rohit
- Application No. : 202011039991 Filed : 24-09-2020
Published : N/A Filed

A SAFETY HELMET DEVICE

Ginni Arora
Ajay Rana
Akshansh
Rohit
- Application No. : 202011028755 Filed : 06-07-2020
Published : N/A Filed

A System and Method for Geothermal Energy Harvesting

Ginni Arora
Ajay Rana
Akshansh
Rohit
- Application No. : 202011006025 Filed : 20-02-2020
Published : N/A Filed

Scholarly Publications

The use of Artificial Intelligence in the Banking Industry

Open Access
conference paper
Authors: Mehndiratta, N., Arora, G., & Bathla, R.

Multiple skin lesion classification using deep, ensemble, and shallow (DEnSha) neural networks approach.

Open Access
other

A comparative study of fourteen deep learning networks for multi skin lesion classification (MSLC) on unbalanced data

Open Access
other
Authors: Arora, G., Dubey, A. K., Jaffery, Z. A., & Rocha, A.

Case Study on Detection and Prevention Methods in Zero Day Attacks

Open Access
conference paper
Authors: Regi, S., Arora, G., Gangadharan, R., Bathla, R., & Pandey, N

Systematic Stress Detection in CNN Application

Open Access
Conference Paper
Authors: Mohapatra S.K.;Kishore Kanna R.;Arora G.;Sarangi P.K.;Mohanty J.;Sahu P.

Application of Machine Learning Techniques in Detecting Fake Profiles on Social Media

Open Access
Conference Paper
Authors: Bhattacharya A.;Bathla R.;Rana A.;Arora G.

Post Covid-19 Scenario: A Study of Shifting Paradigm in Teaching -A Detailed Analysis

Open Access
Conference Paper
Authors: Singh Y.;Singh L.;Pandit J.;Kumar A.;Arora G.

Architecture of an effective convolutional deep neural network for segmentation of skin lesion in dermoscopic images

Open Access
Article
Authors: Arora G.;Dubey A.K.;Jaffery Z.A.;Rocha A.