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Dr Surbhi Agrawal

vidwan id: 256380
Female

Associate Professor, Computer Science and Engineering
R V Institute of Technology and Management

Expertise

  • Computer Science Interdisciplinary SCI

Publications

Total Articles 32
Books 0
Proceedings 0

Publications

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Scopus

Citations 104
h-index 6

CrossRef

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Citations 99
h-index 6
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Bio

Proposed computational models in the area of Astrophysics. Also working with life & earth sciences domain.

Personal Details

  • Female
  • Associate Professor , R V Institute of Technology and Management
Ph D
Other Institute 2021
Associate Professor Oct 2021 – Present
R V Institute of Technology and Management | Computer Science and Engineering

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Co-Authors (8)

Archana

Dr Archana Mathur

NITTE Institute of Technology, Bangalore

Kakoli

Dr Kakoli Bora

B N M Institute of Technology, Bangalore

Kakoli

Prof Kakoli Bora

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Saibal

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Centre for Studies in Social Sciences (CSSS), Kolkata

Sarasvathi

Dr Sarasvathi V

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Scholarly Work

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Big Data Analytics Processing Server Equipment For Financial Transactions

Surbhi Agrawal
Engineering and Technology Application No. : 6356910 Filed : 04-04-2024
Published : N/A Granted

ENHANCEMENT OF SECURITY ISSUES IN DISTRIBUTED COMPUTING USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Surbhi Agrawal
- Application No. : 202241028741 A Filed : 19-05-2022
Published : N/A Published

Scholarly Publications

CD-HPF: New habitability score via data analytic modeling

Open Access
Article
Authors: Bora K.;Saha S.;Agrawal S.;Safonova M.;Routh S.;Narasimhamurthy A.

An enhancement to CloudSim via distributed data storage

Open Access
Conference Paper

L1 Norm SVD based Ranking Scheme: A Novel Method in Big Data Mining

Open Access
Authors: Rahul Aedula, Yashasvi Madhukumar, Snehanshu Saha, Archana Mathur, Kakoli Bora and Surbhi Agrawal;

Star Galaxy Separation using Adaboost and Asymmetric Adaboost

Open Access
Authors: Basak, Suryoday; Saha, Snehanshu; Bora, Kakoli; Sarkar, Shuchismita; Agrawal, Surbhi;

MACHINE LEARNING IN ASTRONOMY: A WORKMAN’S MANUAL

Open Access
Authors: Saha, Snehanshu; Bora, Kakoli; Basak, Suryoday; Srinivasa, Gowri; Safonova, Margarita; Murthy, Jayant; Agrawal, Surbhi; Campus, PESIT South;

An efficient use of principal component analysis in workload characterization-A study

Open Access
Authors: Sarkar, Jyotirmoy; Saha, Snehanshu; Agrawal, Surbhi;

CESSA: A Habitability Score Computation Approach Validated by Machine Learning

Open Access
Authors: Surbhi Agrawal, Kakoli Bora, Snehanshu Saha, Suryoday Basak, Archana Mathur, Margarita Safanova;

”Machine Learning Analysis of Gravitational Waves”

Open Access
Authors: Surbhi Agrawal, Rahul Aedula, Rahul J.S.;