Ministry of Education
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Dr Poornima Hulipalled

vidwan id: 612895
Female

Associate Professor, Department of Computer Application
Kishkinda University

Orchid Icon 0000-0003-4680-8120 Google Scholar Icon 57337660700 Google Scholar Icon DyEnRVsAAAAJ

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 12
Books 0
Proceedings 0

Publications

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Scopus

Citations 40
h-index 3

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Citations 0
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Professional Recognition

2022

Young Scientist

International Academy of Physical Sciences

Community & Membership

2024

Board of Studies (MCA)

Member
2024

Board of Studies (M.Tech)

Member
2024

Board of Examiner

Member
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Bio

Artificial Intelligence (AI), Machine Learning (ML), and Data Science (DS).

Personal Details

  • Female
  • Associate Professor , Kishkinda University
  • Department of Computer Application, Kishkinda University
Ph.D
Other Institute 2024
Associate Professor Nov 2023 – Present
Kishkinda University | Department of Computer Application

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Co-Authors (5)

Deena

Dr Deena Sunil

Indira Gandhi National Tribal University, Amarkantak

V

Prof V Lokesha

N/A

Sunil

Dr Sunil Saumya

Indian Institute of Information Technology, Dharwad

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Dr Veerabhadrappa Algur

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Scholarly Work

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ALLOY TESTING DEVICE

Poornima Hulipalled
- Patent No. : 416786-001 Filed : 13-05-2024
Published : 04-07-2024 Published

Scholarly Publications

A statistical and neural network approach to investigate the tribological behavior of ZA-27 alloy

Open Access
Article
Year: 2024. Volume: 7 , Issue: 6 , Pages: 5855-5870 .
Authors: Hulipalled P.;Algur V.;Lokesha V.;Sharanappa D.S.
DOI 10.1007/s41939-024-00544-x
1

ML driven optimization of mechanical properties in hybrid fiber-reinforced tertiary blended high-performance concrete

Open Access
article
Year: 2024.
Authors: Mahesh, M.S. Shobha, Poornima Hulipalled, Veerabhadrappa Algur

Intelligent retrieval of wear rate prediction for hypereutectoid steel

Open Access
Article
Year: 2023. Volume: 6 , Issue: 4 , Pages: 629-641 .
Authors: Hulipalled P.;Algur V.;Lokesha V.;Saumya S.
DOI 10.1007/s41939-023-00172-x
1

Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy

Open Access
Article
Tribology International. Year: 2023. Volume: 188 .
Authors: Hulipalled P.;Algur V.;Lokesha V.;Saumya S.;Satyanarayan
DOI 10.1016/j.triboint.2023.108783
18

Intelligent Prediction of Wear Loss Based on Ensemble Learning in Dual-Phase Steel

Open Access
article
Year: 2023.
Authors: Poornima Hulipalled, V Lokesha

Machine Learning Algorithms to Predict Wear Behavior of Modified ZA-27 Alloy Under Varying Operating Parameters

Open Access
Article
Year: 2022. Volume: 8 , Issue: 1 .
Authors: Algur V.;Hulipalled P.;Lokesha V.;Nagaral M.;Auradi V.
DOI 10.1007/s40735-021-00610-8
16

An Approach of Data Science for the Prediction of Wear Behaviour of Hypereutectoid Steel

Open Access
Article
Year: 2022. Volume: 8 , Issue: 3 .
Authors: Hulipalled P.;Algur V.;Lokesha V.
DOI 10.1007/s40735-022-00668-y
4

Machine learning algorithms to predict wear behavior of modified ZA-27 alloy under varying operating parameters

Open Access
article
Year: 2022. Volume: 8 , Pages: 1-10 .
Authors: Veerabhadrappa Algur, Poornima Hulipalled, V Lokesha, Madeva Nagaral, V Auradi