PolRam: Proposed Prediction Framework Based on Pollen Outbreak & a Critical Review
Conference proceeding (December 2023)
The most recent citing publications are shown below. View all 14 publications that cite this research output on Dimensions.
A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study
Article in Computers in Biology and Medicine (November 2023)
Machine Learning Regression to Predict Pollen Concentrations of Oleaceae and Quercus Taxa in Thessaloniki, Greece †
Conference proceeding in Environmental Sciences Proceedings (August 2023)