Deep learning for water quality

W Zhi, AP Appling, HE Golden, J Podgorski, L Li - Nature Water, 2024 - nature.com
Understanding and predicting the quality of inland waters are challenging, particularly in the
context of intensifying climate extremes expected in the future. These challenges arise partly …

Optimal postprocessing strategies with LSTM for global streamflow prediction in ungauged basins

S Tang, F Sun, W Liu, H Wang… - Water Resources …, 2023 - Wiley Online Library
Streamflow prediction in ungauged basins (PUB) is challenging, and Long Short‐Term
Memory (LSTM) is widely used to for such predictions, owing to its excellent migration …

Nitrogen deposition contributed to a global increase in nitrous oxide emissions from forest soils

X Cen, C Müller, X Kang, X Zhou, J Zhang… - … Earth & Environment, 2024 - nature.com
Nitrous oxide is a potent greenhouse gas. Anthropogenically enhanced nitrogen deposition
causes natural forest soils to release more nitrous oxide, exacerbating global warming. We …

A deep learning approach based on physical constraints for predicting soil moisture in unsaturated zones

Y Wang, W Wang, Z Ma, M Zhao, W Li… - Water Resources …, 2023 - Wiley Online Library
Water transport in the unsaturated zone is an important part of the hydrological cycle and is
the link between the atmosphere‒soil‐groundwater for material and energy transport. The …

Hazard assessment of rice cold damage based on energy balance in paddy field

X Yan, Y Guo, B Ma, Y Zhao, S Guga, J Zhang… - Agricultural and Forest …, 2024 - Elsevier
Cold stress seriously affects rice yield in Northeast China and, as a result of climate change,
there are new trends in the characterization of cold damage. Accurate simulation of water …

[HTML][HTML] Research on an Identification and Grasping Device for Dead Yellow-Feather Broilers in Flat Houses Based on Deep Learning

C Xin, H Li, Y Li, M Wang, W Lin, S Wang, W Zhang… - Agriculture, 2024 - mdpi.com
The existence of dead broilers in flat broiler houses poses significant challenges to large-
scale and welfare-oriented broiler breeding. To ensure the timely identification and removal …

Predicting the distribution coefficient of cesium in solid phase groups using machine learning

SM Hong, IH Yoon, KH Cho - Chemosphere, 2024 - Elsevier
The migration and retention of radioactive contaminants such as 137 Cesium (137 Cs) in
various environmental media pose significant long-term storage challenges for nuclear …