abhilashsingh.bsky.social
Abhilash Singh
@abhilashsingh.bsky.social
5 followers 4 following 2 posts
University of Leeds|[email protected]|Machine Learning|Artificial Intelligence|Hydrology|Remote Sensing|Codes: https://abhilashsingh.net/codes.html
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kinarnicholas.bsky.social
KinarNicholas.bsky.social @kinarnicholas.bsky.social · 24d
Hydrology Paper of the Day @mlearthsciences.bsky.social on the use of frequency-domain neural networks for soil moisture imputation: weather station observations and model application by sliding windows and spatial convolution; a comparison of approaches; and rainfall magnitudes and sensitivities.
mlearthsciences.bsky.social
ML Earth Sciences @mlearthsciences.bsky.social · 25d
Worried about missing value?

A novel imputation framework based on Fourier neural operators (FNO) for soil moisture. The FNO model outperforms traditional approaches, and incorporating temporal lag reduces error by up to 15% in the diverse climates in India and Zambia.
doi.org/10.1029/2025...
Leveraging Neural Operator and Sliding Window Technique for Enhanced Subsurface Soil Moisture Imputation Under Diverse Precipitation Scenarios
Developed a novel Fourier Neural Operator (FNO) to enhance subsurface soil moisture imputation by employing a sliding window concept that seamlessly integrates rainfall, soil temperature, and norm...
doi.org
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abhilashsingh.bsky.social
Abhilash Singh @abhilashsingh.bsky.social · Jul 23
Thank you @kinarnicholas.bsky.social for sharing our paper as hydrology paper of the day.
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abhilashsingh.bsky.social
Abhilash Singh @abhilashsingh.bsky.social · Jul 22
First post !!!

Happy to share our new paper is out in Engineering Applications of AI!
"Overcoming Data Scarcity" uses transfer learning + satellite fusion to predict soil moisture with 55% less in-situ data
🔗 doi.org/10.1016/j.enga…
�� abhilashsingh.net/codes.ht#RemoteSensinge#MLn#AIML #AI
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