Ministry of Education
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Dr Dr. Rakshitha Kiran P

vidwan id: 472769
Female

Assistant Professor, Master of Computer Applications (MCA)
Dayananda Sagar College of Engineering, BANGALORE

Orchid Icon 0000-0001-5390-0094 Google Scholar Icon 59445562400 Researcher Icon B-2369-2019 Google Scholar Icon G4xBMskAAAAJ

Expertise

  • Computer Science Interdisciplinary SCI

Publications

Total Articles 13
Books 0
Proceedings 0

Publications

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Scopus

Citations 23
h-index 2

CrossRef

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Citations 10
h-index 1
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Professional Recognition

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Community & Membership

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International Association of Engineers

2023
lifetime

Bio

A quality-focused professor with eight years of teaching and research experience, I aim to improve students' creativity and higher-order thinking, and I'd like to apply cutting-edge ideas and concepts to dramatically change the educational system. I am a self-driven person who develops organisational procedures as a skilled communicator. I have a PhD in Computer & Information Science from VTU, an M.Tech & B.E. in computer science and engineering. I'm dedicated to continuing my professional deve

Personal Details

  • Female
  • Assistant Professor , Dayananda Sagar College of Engineering, BANGALORE
  • Dayananda Sagar College of Engineering
Ph.D.
Other Institute 2023
Assistant Professor Sep 2015 – Present
Dayananda Sagar College of Engineering, BANGALORE | Master of Computer Applications (MCA)

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Co-Authors (8)

Anita Bhagirathji

Dr Anita Bhagirathji Agrawal

Birla Institute of Technology and Science

Anand S

Mr Anand S Meti

KLE Technological University

Kiran

Dr Kiran P

R N S Institute of Technology, BANGALORE

Niranjanamurthy

Dr Niranjanamurthy M

BMS Institute of Technology and Management

Pavithra G

Dr Pavithra G Shetty

Dayananda Sagar College of Engineering, BANGALORE

Praveen

Dr Praveen Dhulavvagol

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Samitha

Dr Samitha Khaiyum

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Prof Smitha G V

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Scholarly Work

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Generative AI Model for Prediction of Polycystic Ovary Syndrome

Dayananda Sagar College of Engineering
Engineering and Technology Application No. : 202441096857 Filed : 13-11-2024
Published : 13-12-2024 Published

Scholarly Publications

Deep Neural Networks for Precise Brain Tumor Delineation: A U-Net and TensorFlow Approach

Open Access
Article
Year: 2025. Volume: 15 , Issue: 3 , Pages: 23686-23691 .
Authors: Kundur N.C.;Divakar H.R.;Khaiyum S.;Rakshitha K.P.;Dhulavvagol P.M.;Meti A.S.
DOI 10.48084/etasr.10684

Interpretable AI for Liver Cancer Detection: Cascaded CNN & GLCM Integration

Open Access
article
Engineering, Technology & Applied Science Research. Year: 2025. Volume: Vol. 15, No. 2, 2025, , Pages: 21243-21248 .
Authors: Bellary Chiterki Anil , Arun Kumar Gowdru , Rakshitha Kiran P
DOI 10.48084/etasr.10147

Predicting sedentary behavior in adults using stacked LSTM modeling

Open Access
Article
International Journal of System Assurance Engineering and Management. Year: 2025. Volume: 16 , Issue: 1 , Pages: 346-355 .
Authors: Vibha M.B.;Chandrika M.;Khaiyum S.;Kiran P.R.
DOI 10.1007/s13198-024-02622-2

Interpretable AI for Liver Cancer Detection: Cascaded CNN &amp ; GLCM Integration

Open Access
Article
Year: 2025. Volume: 15 , Issue: 2 , Pages: 21243-21248 .
Authors: Anil B.C.;Rajkumar J.S.;Gowdru A.K.;Rakshitha K.P.;Khaiyum S.;Lathamani B.;Ramadoss B.
DOI 10.48084/etasr.10147
1

A Radiomics-based Framework for Liver Cancer Analysis using Explainable Artificial Intelligence (XAI) Methods

Open Access
Article
Year: 2025. Volume: 15 , Issue: 3 , Pages: 24098-24103 .
Authors: Anil B.C.;Rajkumar J.S.;Divya T.L.;Khaiyum S.;Rakshitha Kiran P.;Ramadoss B.
DOI 10.48084/etasr.10377

Evaluation of Machine Learning Models for Cardiovascular Risk Assessment

Open Access
Conference Paper
Year: 2024. Pages: 993-996 .
Authors: Chandrika M.;Kiran R.;Vaidya P.;Kodnad R.
DOI 10.1109/ICoICI62503.2024.10696637

Transactional and Sequential model for pre-processing the textual data

Open Access
Conference Paper
Year: 2023.
Authors: Pavithra B.;Niranjanamurthy M.;Smitha G.V.;Kiran R.;Chandrika M.
DOI 10.1109/ICIEM59379.2023.10167357
2

Op-RMSprop (Optimized-Root Mean Square Propagation) Classification for Prediction of Polycystic Ovary Syndrome (PCOS) using Hybrid Machine Learning Technique

Open Access
Article
International Journal of Advanced Computer Science and Applications. Year: 2022. Volume: 13 , Issue: 6 , Pages: 588-596 .
Authors: Kiran P.R.;Naveen N.C.
DOI 10.14569/IJACSA.2022.0130671
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