Seema V Kedar
VIDWAN ID: 248911

Ms Seema V Kedar

Female Master of Technology
Professor | Computer Engineering
Jaywant Shikshan Prasarak Mandal's Rajarshi Shahu College of Engineering, Mulashi, Pune
Maharashtra
Expertise: Computer Science Artificial Intelligence
9 Publications
0 Projects
64 Scopus Citations
54 CrossRef
24 Years 2 Months Total Experience
Publications
9 Total
Articles
2
Books
1
Chapters
1
Proceedings
5
Activity

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Scopus Scopus
64 Citations
3 h-index
CrossRef CrossRef
54 Citations
3 h-index
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Personal Details

Master of Technology
N/A
Professor
Jul 2002 – Present
Jaywant Shikshan Prasarak Mandal's Rajarshi Shahu College of Engineering, Mulashi, Pune | Computer Engineering
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Publications

Automatic emotion recognition through handwriting analysis: A review

Conference Paper
Year: 2015. Pages: 811-816 .
Authors: Kedar, S.V.; Bormane, D.S.; Dhadwal, A.; Alone, S.; Agarwal, R.

Lungs Diseases Prediction based on Convolutional Neural Network

Conference Paper
Year: 2021. Pages: 1-5 .
Authors: Sanika Shirsat; Seema V. Kedar

Recognition of Emotional State Based On Handwriting Analysis and Psychological Assessment

Journal Article
International Journal of Engineering and Advanced Technology. Year: 2019. Volume: 8 , Issue: 6 , Pages: 4395-4402 .
Authors: Professor and Head of Computer Engineering Department in Rajarshi Shahu College of Engineering, Pune; S. V. Kedar*; Shilpa Rokade; Master of Computer Engineering at JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pune, affiliated to Savitribai Phule Pune University.

Technique for Data-Driven Mining in Physiological Sensor Data by Using Eclat Algorithm

Book Chapter
Year: 2019. Pages: 419-427 .
Authors: Shraddha Kalbhor; S. V. Kedar

An approach to predict hypertension based on handwritten manuscript

Journal Article
Indian Journal of Public Health Research & Development. Year: 2018. Volume: 9 , Issue: 11 , Pages: 2235 .
Authors: Seema Kedar; D. S. Bormane

Privacy Preserving Horizontal Partitioning of Outsourced Database for Frequent Pattern Mining Using Paillier

Conference Paper
Year: 2018. Pages: 1-6 .
Authors: Dhage, M.; Kedar, S.V.

Secure association rule mining using Bi-Eclat algorithm on vertically partitioned databases

Conference Paper
Year: 2018. Pages: 176-181 .
Authors: Karanjikar, M.; Kedar, S.V.

Automatic personality assessment: A systematic review

Conference Paper
Year: 2016. Pages: 326-331 .
Authors: Kedar, S.V.; Bormane, D.S.
Showing 1 to 8 of 9 publications