rherakal@gitam.edu
LinkedIn
Google Scholar
Scopus
ORCiD
Dr. Renuka R. Patil (Herakal) has completed her B.E, M.Tech and Ph.D. in CSE & ISE from VTU in the domain of Artificial intelligence for Wireless Sensor Networks.
Also, she has completed her postgraduate Graduate Diploma course on Machine Learning and Artificial Intelligence from IIIT-Bangalore in January 2020.
She is currently working as Assistant Professor in the Dept. of CSE, GITAM School of Technologies (GST), GITAM-University.
Research Publications
- Forecasting PM2.5 Concentration Using Gradient-Boosted Regression Tree with CNN Learning Model, SSN 1060-992X, Optical Memory and Neural Networks, 2024, Vol. 33, No. 1, pp. 86–96. © Allerton Press, Inc., 2024.
- Wheat leaf disease classification using modified ResNet50 convolutional neural network model
- Effective Crude Oil Prediction Using CHS-EMD Decomposition and PS-RNN Model
- D-Resnet: deep residual neural network for exploration, identification, and classification of beach sand minerals
- RFFE – Random Forest Fuzzy Entropy for the classification of Diabetes Mellitus
Expertise
-
Wireless Sensor Networks (Dynamic Node Deployment)
-
Artificial Intelligence and Machine Learning
-
Cloud Computing
-
Embedded Systems
