A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales
- Fearghal O'Donncha
- Yihao Hu
- et al.
- 2022
- Ecol. Inform.
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247 results for Climate and Sustainability
Small, sparse, but substantial: techniques for segmenting small agricultural fields using sparse ground data
- Smit Marvaniya
- Umamaheswari Devi
- et al.
- 2020
- International Journal of Remote Sensing
Predicting impacts of weather-driven urban disasters in the current and future climate
- Lloyd A. Treinish
- A. Praino
- et al.
- 2020
- IBM J. Res. Dev
Forecasting closures on shellfish farms using machine learning
- Fearghal O'Donncha
- Albert Akhriev
- et al.
- 2024
- Aquac Int
Multi-decadal trends of low clouds at the Tropical Montane Cloud Forests
- J. Antonio Guzmán Q
- Hendrik Hamann
- et al.
- 2024
- Ecol. Indic.
Towards Bespoke Optimizations of Energy Efficiency in HPC Environments
- 2023
- Appl. AI Lett.
An Integrated Modeling Framework for Screening CO2 Capture Materials
- Yogesh Joshi
- Ashish Mhadeshwar
- et al.
- 2023
- AIChE 2023
Screening Hoffman-type metal organic frameworks for efficient C2H2/CO2 separation
- Wushuang Lou
- Jiahao Li
- et al.
- 2023
- CEJ
Flood Mapping Using Sentinel-1 Images and Lightweight U-Nets Trained on Synthesized Events
- Maciel Zortea
- Michal Muszynski
- et al.
- 2023
- IEEE GRSL
Arable soil nitrogen dynamics reflect organic inputs via the extended composite phenotype
- 2022
- Nat. Food.