Deepa D
VIDWAN ID: 236089

Ms Deepa D

Female Master of Engineering
Assistant Professor | Department of Computer Science and Engineering
Kongu Engineering College
Tamil Nadu
Expertise: Computer Science Interdisciplinary SCI
20 Publications
0 Projects
209 Scopus Citations
171 CrossRef
20 Years Total Experience
Publications
20 Total
Articles
11
Chapters
2
Proceedings
7
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Scopus Scopus
209 Citations
6 h-index
CrossRef CrossRef
171 Citations
4 h-index
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Personal Details

Master of Engineering
2011
N/A
Assistant Professor
Sep 2006 – Present
Kongu Engineering College | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Interdisciplinary SCI

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Scholarly Work

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Scholarly Publications

Advancements in Crown Sheath Rot Detection using DenseNet121 and UNet in Rice Plant Leaf Analysis

Conference Paper
Year: 2023. Pages: 1-5 .
Authors: R. Thilagavathy; S.Senthil Kumar; R. Deebalakshmi; D. Deepa; R. Kavitha; L. Sathish Kumar

Migratory and misleading abscess of oro-facial region

Journal Article
Journal of Indian Society of Periodontology. Year: 2015. Volume: 19 , Issue: 4 , Pages: 470 .
Authors: Arunkumar, K.V.; Deepa, D.

Nanobiomaterials and their role in periodontal rehabilitation

Book Chapter
Year: 2018. Pages: 23-35 .
Authors: Deepa, D.; Arunkumar, K.V.

Bidirectional Encoder Representations from Transformers (BERT) Language Model for Sentiment Analysis task: Review

Journal Article
Year: 2021.

Machine Learning: Supervised Algorithms to Determine the Defect in High-Precision Foundry Operation

Open Access
Journal Article
Journal of Nanomaterials. Year: 2022. Volume: 2022 , Issue: 1 , Pages: 1-9 .
Authors: Bramahhazela; Hymavathi, J.; Kumar, T.R.; Kavitha, S.; Deepa, D.; Lalar, S.; Karunakaran, P.

Sentiment Analysis using Feature Extraction and Dictionary-Based Approaches

Conference Paper
Year: 2019. Pages: 786-790 .
Authors: Deepa, D.; Raaji; Tamilarasi, A.

OPTIMISED BERT MODEL FOR SENTIMENT ANALYSIS IN PANDEMIC ENVIRONMENT

Journal Article
Year: 2021.
Authors: Deepa, D.; Tamilarasi, A.

CNN-based Deep Learning Approach for MRI-based Brain Tumor Detection

Conference Paper
Year: 2023. Pages: 875-879 .
Authors: Narayanasamy, K.; Elangovan; Sathish Kumar, L.; Maragatharajan, M.; Deepa, D.
Showing 1 to 8 of 20 publications