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Shaik Rasheeda Begum

vidwan id: 503241
Female

Assistant Professor, Department of Computational Intelligence - KTR
S R M Institute of Science & Technology, Chennai

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 4
Books 0
Proceedings 0

Publications

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Scopus

Citations 5
h-index 1

CrossRef

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Citations 1
h-index 1
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Professional Recognition

2023

Dr Paarivendhar Research Colloquium

Awarded Best Poster presentation DPRC ( Dr Paarivendhar Research Colloquium ) March 2023 at SRM Inst

Community & Membership

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Bio

Seeking to be highly knowledge transformation with an opportunity in a growth and development- orientated organization, where I can apply all my intangible skills in the field of Teaching with current technologies expertise in ML and NLP.

Personal Details

  • Female
  • Assistant Professor , S R M Institute of Science & Technology, Chennai
  • 2/25A Ramar Street , 5th Ramar Street ,Ramar Thottam, Lakshmi Nagar , Mudichur ,Chennai-48
PhD
Other Institute 2024
M.Tech
Other Institute 2015
B.Tech
Other Institute 2006
Assistant Professor Feb 2024 – Present
S R M Institute of Science & Technology, Chennai | Department of Computational Intelligence - KTR
Assistant Professor Jun 2017 – Dec 2020
Dhaanish Ahmed College of Engineering

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Co-Authors (1)

Saad

Prof Saad Sait

S R M Institute of Science & Technology, Chennai

Scholarly Work

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Machine Learning Based System For Predicting Depression using Social Media Post

R.Selvi
C. Vijayakumaran and et.al
Medical and Health Sciences Application No. : 202241064066 Filed : 09-11-2022
Published : 25-11-2022 Filed

Scholarly Publications

AI-based Depression Detection using Profile Information

Open Access
Conference Paper
Authors: Shaik Rasheeda Begum ., Saad Yunus Sait ., Arul Saravanan Ramachandran .,

Effective Techniques for Depression Detection on Social Media: A Comprehensive Review

Open Access
Conference Paper
Authors: Begum S.R.;Sait S.Y.

Survey on Artificial Intelligence- based Depression Detection using Clinical Interview Data

Open Access
Conference Paper

SECURE AND RELIABLE VOICE RECOGNITION SYSTEM USING DEEP NEURAL NETWORKS ACOUSTIC MODEL

Open Access
other
Authors: Shaik Rasheeda Begum