Search Results for author:
Found 5 papers, 0 papers with code
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
Rain precipitation prediction is a challenging task as it depends on weather and meteorological features which vary from location to location.
Comparative Evaluation of Weather Forecasting using Machine Learning Models
Gaining a deeper understanding of weather and being able to predict its future conduct have always been considered important endeavors for the growth of our society.
Location Agnostic Source-Free Domain Adaptive Learning to Predict Solar Power Generation
The prediction of solar power generation is a challenging task due to its dependence on climatic characteristics that exhibit spatial and temporal variability.
Active Learning Guided Federated Online Adaptation: Applications in Medical Image Segmentation
Motivated by these, we propose a method for medical image segmentation that adapts to each incoming data batch (online adaptation), incorporates physician feedback through active learning, and assimilates knowledge across facilities in a federated setup.
Learning Deformable 3D Graph Similarity to Track Plant Cells in Unregistered Time Lapse Images
Tracking of plant cells in images obtained by microscope is a challenging problem due to biological phenomena such as large number of cells, non-uniform growth of different layers of the tightly packed plant cells and cell division.
