Results 71 to 80 of about 5,130 (182)

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

open access: yesJournal 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   +3 more
wiley   +1 more source

Prediction of boiler water quality in the petrochemical industry based on BiLSTM-GRU model

open access: yesGongye shui chuli
In order to effectively monitor the changes in boiler water quality during the petrochemical process and optimize the water treatment process, a BiLSTM-GRU model combining bidirectional long short-term memory(BiLSTM) and gated recurrent unit (GRU) was ...
CHEN Yao   +5 more
doaj   +1 more source

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

open access: yesJournal 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   +4 more
wiley   +1 more source

Protein-protein interaction prediction using bidirectional GRUs with explicit ensemble

open access: yesPLOS One
Protein-protein interactions is essential for cellular processes in all organisms. The accurate in-silico identification of these interactions is a significant area of research in biology-related fields, which is crucial for protein function prediction and drug design.
Qiuhong Lan   +4 more
openaire   +3 more sources

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

open access: yesSpace 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   +18 more
wiley   +1 more source

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

open access: yesSpace 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   +4 more
wiley   +1 more source

Correction: Detection method of absence seizures based on Resnet and bidirectional GRU. [PDF]

open access: yesActa Epileptol, 2023
Li L   +10 more
europepmc   +1 more source

Targeting RANKL Prevents Bone Loss, Improves Muscle Function and Extends Lifespan in Progeroid Mice

open access: yesAging Cell, Volume 25, Issue 8, August 2026.
Targeting of RANKL by genetic and pharmacological approaches ameliorates key features of the progeroid phenotype in Zmpste24−/− mice. RANKL intervention restores bone mass, improves muscle phenotype, and extends survival. These findings support further exploration of RANKL‐targeted therapies for Hutchinson‐Gilford progeria syndrome.
Sandra Freitas‐Rodríguez   +11 more
wiley   +1 more source

A Hybrid Bidirectional Long Short-Term Memory and Bidirectional Gated Recurrent Unit Architecture for Protein Secondary Structure Prediction

open access: yesIEEE Access
Protein secondary structure prediction plays a pivotal role in deciphering protein function and structure, with implications for drug discovery, functional annotation, and molecular biology research.
Vrushali Bongirwar, A. S. Mokhade
doaj   +1 more source

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