Dr GUNAVATHI R
Associate Professor
| Department of Computer Science
Christ University, Bangalore
(2021)
Maharashtra
Expertise:
Computer Science Artificial Intelligence
28
Publications
1
Projects
18
Scopus Citations
8
CrossRef
20 Years 9 Months Total Experience
Scopus
18
Citations
3
h-index
CrossRef
8
Citations
1
h-index
Google Scholar
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Personal Details
Doctor of Philosophy
2013
Aditya Renewables
Associate Professor
Feb 2021 – Feb 2021
Christ University, Bangalore
| Department of Computer Science
Head of the Department
Sep 2005 – Feb 2021
Sree Saraswathi Thiagaraja College
Assistant Professor
Jun 2000 – Sep 2005
Gandhigram Rural Institute, Dindigul
| Department of Computer Science and Applications
Engineering and Technology
Scholarly Work
Two days Seminar "Women Strategy Summit
CompletedEFFECTIVE PATH SELECTION WITH SECURED ENERGY OPTIMIZATION TECHNIQUES USING AODV PROTOCOL FOR WSN
DEVELOPMENT OF PROFICIENT INTRUSION DETECTION SYSTEM USING MAP REDUCE BASED DEEP LEARNING IN BIG DATA ENVIRONMENT
SENTIMENTAL CLASSIFICATION OF REVIEWS USING SUPERVISED MACHINE LEARNING APPROACHES
Enhanced Cluster Based Broadcasting Protocol with Selective Reliable Communication in VANET
Diabetes Prediction Using Feature Engineering Approach with Hybrid Random Forest Algorithms
SMART ASSISTIVE DEVICE FOR VISUALLY IMPAIRED
CHRIST UNIVERSITY
-
Patent No. :
202121042792
Filed :
21-09-2021
Published :
29-10-2021
Published
IMPLEMENTATION OF CLASSIFICATION MODELS FOR ACCURATE CLASSIFICATION OF FACTORS RESPONSIBLE FOR GASTRIC CANCER
Gunavathi R
-
Patent No. :
202221065622
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
AI enabled healthcare assistant for remote prenatal care
Paddy Disease Identification via Deep Learning A ResNet-50 Approach
Prevention of Biodiversity Loss
A Novel Ingredient-Based Food Recommender System Leveraging Natural Language Processing
Enhancing accuracy of 48 × 48 dimensional image using CNN
Enhancing underwater archaeology with computer vision: A deep learning approach for shipwreck detection
Case study: Impact of Industry 4.0 and its impact on fighting COVID-19
An efficient clusterhead election algorithm based on maximum weight for MANET
Showing 1 to 8 of 28 publications