Renuka Herakal

Assistant Professor, Computer science engineering, GST, BLR | | | |

Dr. Renuka R. Patil (Herakal) has completed her B.E and M.Tech. 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
  • Wireless Sensor Networks (Dynamic Node Deployment)
  • Artificial Intelligence and Machine Learning
  • Cloud Computing
  • Embedded Systems
Renuka Herakal