Geetha R
VIDWAN ID: 306919

Dr Geetha R

Female Doctor of Philosophy
Assistant Professor | Department of Computing Technologies - KTR
SRM Institute of Science and Technology
Tamil Nadu
Expertise: Computer Science Information Systems
39 Publications
0 Projects
202 Scopus Citations
261 CrossRef
4 Years 2 Months Total Experience
Publications
39 Total
Articles
6
Chapters
1
Proceedings
32
Activity

No publication activity to display.

Scopus Scopus
202 Citations
6 h-index
CrossRef CrossRef
261 Citations
5 h-index
Google Scholar Google Scholar

Loading Scholar statistics...

Professional Recognition

No Data Found

There is currently nothing to display here.

Community & Membership

No Data Found

There is currently nothing to display here.

ISTE
Lifetime
Jan 2010

Personal Details

Doctor of Philosophy
2020
Research and Information System for Developing Countreis
Assistant Professor
Jul 2022 – Present
SRM Institute of Science and Technology | Department of Computing Technologies - KTR
Engineering and Technology
Computer Science Information Systems

Related Profiles

Scholarly Work

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Scholarly Publications

IoT-Enabled Disaster Prevention: Leveraging Transfer Learning for Remote Monitoring

Conference Paper
Year: 2024. Pages: 492-498 .
Authors: Kaumudi Keerthana; Jose Anand A.; R. Kesavan; Stalin Kesavan; R. Geetha; S. Vidhya

A Comparative Analysis of IoT Platform Tools: Security and Scalability Preferences in Device Management Using AHP

Conference Paper
Year: 2025. Pages: 380-385 .
Authors: Maheswari S.; N. Rajkumar; R. Geetha; Kalakuntla Theja; M. Malleswari; Jose Anand A.

Comparative Analysis of Feature Engineering-Based Learning and Deep Learning Approaches for Classification Problems on Imbalanced Datasets

Conference Paper
Year: 2025.
Authors: R. Rajasree; R. Geetha; S. Vidhya; M. A. Mukunthan; S. Hari Kumar; Jose Anand A

Detection and Classification of Faults in a Power System with Inverter Penetration Based on a Real-Time Machine Learning Application

Conference Paper
Year: 2025.
Authors: R. Geetha; P. Thilagavathi; Jose Anand A.; Anitha Govindaram; Jerril Gilda S.; D. Parameswari

Non-Intrusive Load Monitoring Techniques for Intelligent Energy Management: A Comparative Study of FHMM and LSTM Approach

Conference Paper
Year: 2025. Pages: 869-874 .
Authors: N. Rajkumar; Anitha Govindaram; R. Geetha; Subhamathi A S F; Nithya S.; Jose Anand A.

Comparison of Machine Learning Methods for Fraudulent Transaction Classification

Conference Paper
Year: 2025.
Authors: A. Suganya; D. Parameswari; R. Geetha; Anitha Govindaram; Sushma Bahuguna; Jose A. Anand

A novel approach for classification using hyper parameters for price prediction with decision tree and logistic regression algorithms

Conference Paper
AIP Conference Proceedings. Year: 2024. Volume: 2853 , Issue: 1 .
Authors: M. Dinesh Kumar Reddy; R. Geetha

A novel calculation approach for price range prediction with general optimization of features using deep neural network and random forest algorithms

Conference Paper
AIP Conference Proceedings. Year: 2024. Volume: 2853 , Issue: 1 .
Authors: M. Dinesh Kumar Reddy; R. Geetha
Showing 1 to 8 of 39 publications