Results 161 to 170 of about 17,724 (252)

Disentangling Spatial‐Temporal Features for Controllable Factors Learning in Precipitation Nowcasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Precipitation nowcasting refers to the high‐resolution forecasting of rainfall and hydrometeors within 0–6 hr according to the official definition of the World Meteorological Organization, which has relied on numerical models for decades. Recently, artificial intelligence (AI) has shown promise in addressing precipitation nowcasting.
Nan Yang, Chong Wang, Ruikai Yang, Xiaofeng Li   +3 more
wiley   +1 more source

Magnetically Repulsive Cushion Triboelectric Nanogenerator for Rotating Machinery Structural Health Monitoring. [PDF]

Sensors (Basel)
Peng H, Wu Y, Li Y, He Y, Wang C, Na X, Tan Q, Qiu W, Yang X.   +8 more
europepmc   +1 more source

Attention and Geological Knowledge Guided Spectral‐Spatial Networks for Geochemical Anomalies Recognition

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Achieving both accuracy and interpretability in deep learning models for geochemical anomaly recognition constitutes a significant challenge. To overcome this challenge, this study developed a novel interpretable dual‐branch network combining a spectral attention bidirectional RNN (BiRNN) branch and a spatial attention CNN branch guided with ...
Yihui Xiong, Zhixiang Liang, Zhiyi Chen, Yao Fan, Renguang Zuo   +4 more
wiley   +1 more source

Forecasting of global water usage in agriculture and total global consumption by using the Bi-GRU model. [PDF]

Sci Rep
Irfan M, Rashid J, Bibi J, Amir S, Othman KM, Gaid ASA.   +5 more
europepmc   +1 more source

AI Challenge for Satellite Tracking and Orbit Resilience Modeling (STORM‐AI): Data Set, Design, and Results

Space Weather, Volume 24, Issue 8, August 2026.
Abstract Precise thermospheric density forecasting is critical for mitigating satellite drag in Low Earth Orbit (LEO), but traditional empirical models such as MSIS and JB2008 can fail during geomagnetic storms. To evaluate whether AI can better capture this transient behavior, the 2025 MIT ARCLab Prize for AI Innovation in Space asked participants to ...
Sergio Sanchez‐Hurtado, Haley E. Solera, William E. Parker, Mia Tian, Ruoxi Qian, Edenna Chen, Enrico M. Zucchelli, Rasyid Ridha, Dominic Bruno, Christopher Yeung, Justin Gmys, Binh Tran, Bhargav M. Joshi, Victor Rodriguez‐Fernandez, Jefferson Mitchell, Morgan Mitchell, Jonathan P. How, Giovanni Lavezzi, Richard Linares   +18 more
wiley   +1 more source

QRNN-GRU framework for automatic argument and annotation extraction in medical drug reviews. [PDF]

Sci Rep
Altameem E, Alnuem M, Albassam S.
europepmc   +1 more source

Simultaneous Multi–Horizon Forecasting of Dst and Hp60 Geomagnetic Indices via a Multitask LSTM Framework

Space Weather, Volume 24, Issue 8, August 2026.
Abstract This study presents a novel multitask deep learning framework that integrates models designed for simultaneous, multi‐horizon forecasting of Hp60 and Disturbance storm time (Dst) indices with lead times up to 3 hr. Using a Long Short‐Term Memory architecture, the models capture both mid‐latitude variability and the ring current dynamics. Input
Joseph Kagotho Muriithi, Collins Mito, Edward Uluma, Boniface Ndinya, Daniel Okoh   +4 more
wiley   +1 more source

Blockchain and bio-inspired deep learning for energy-efficient EV-to-grid optimization. [PDF]

Sci Rep
Ravindhar NV, Manju A, Murugesan S, Rathish Babu TKS.   +3 more
europepmc   +1 more source

Maastiku mõju sookure (Grus grus) kodupiirkondade varieeruvusele

The Eurasian crane (Grus grus) is an important species in Estonia and across Europe, with habitats increasingly threatened by human activity and land-use change. Previous research has mainly focused on migratory behaviour, while the variability of home ranges and their relationship with landscape structure has been less studied.
openaire   +1 more source

Reconstructing Long‐Term Reservoir Storage in India Using Hydrological Modeling and Machine Learning

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract India has one of the largest networks of large dams in the world, where reservoirs play a crucial role in regulating monsoon‐driven water availability for irrigation, hydropower, flood control, and water supply. However, long‐term daily reservoir storage observations are available only from the year 2000 onwards.
Urmin Vegad, Vimal Mishra
wiley   +1 more source