Ministry of Education
NEETHA T
VIDWAN ID: 705492

Mrs NEETHA T

Female Doctor of Philosophy
Assistant Professor | Department of Artificial Intelligence
Anurag University
Telangana
Expertise: Computer Science Artificial Intelligence
ORCID 0009-0003-8454-6421 Scopus 58637657100 ResearcherID QAX-1335-2026 Google Scholar 6WRmqHsAAAAJ
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4 Publications
0 Projects
1 Scopus Citations
0 CrossRef
4 Years Total Experience
Publications
4 Total
Articles
3
Proceedings
1
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Scopus Scopus
1 Citations
1 h-index
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Professional Recognition

University Second Rank
2000
Kakatiya University

Community & Membership

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Computer Society of India
SBC
Jan 2025

Personal Details

Doctor of Philosophy
2012
N/A
Assistant Professor
Sep 2022 – Present
Anurag University | Department of Artificial Intelligence
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Scholarly Publications

Engineering Education Transformation: Project-Based Learning's Effect on Problem-Solving and Lifelong Learning

Open Access
Journal Article
Journal of Engineering Education Transformations. Year: 2024. Volume: 38 , Issue: Special Issue 1 , Pages: 16-24 .
Authors: Department of Artificial Intelligence, Anurag University, Hyderabad; Madhavi M; Neetha T; Department of Artificial Intelligence, Anurag University, Hyderabad; Raghu Indrakanti; Department of Electronics and Communication Engg., Anurag University, Hyderabad
DOI 10.16920/jeet/2024/v38is1/24206 Scopus Scopus: 1

Soft Computing Approaches for Medical Diagnosis and Prognosis of Heart Disease with Feature Analysis

Conference Paper
Year: 2023. Pages: 860-865 .
Authors: Ravichandran S; M. Pradeepa; D Lakshmi Padmaja; T Neetha; S Venkatakiran
DOI 10.1109/ICAISS58487.2023.10250759

ARRHYTHMIA CLASSIFICATION WITH THE INTELLIGENCE PARASITISM ALGORITHM-OPTIMIZED FUZZY-ENABLED ENSEMBLED CLASSIFIER

Journal Article
Biomedical Engineering : Applications, Basis and Communications. Year: 2026. Volume: 38 , Issue: 4 .
Authors: T. Neetha; J. Visumathi
DOI 10.4015/S1016237225500437

Arrhythmia detection in the ECG signals with the fractional corvus escape algorithm optimised activation ensemble DCNN

Journal Article
International Journal of Bioinformatics Research and Applications. Year: 2025. Volume: 21 , Issue: 5 , Pages: 481-505 .
Authors: T. Neetha; James Visumathi
DOI 10.1504/IJBRA.2025.149730