Results 71 to 80 of about 5,130 (182)
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
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
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
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
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
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]
Li L +10 more
europepmc +1 more source
Targeting RANKL Prevents Bone Loss, Improves Muscle Function and Extends Lifespan in Progeroid Mice
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 novel network security situation assessment model based on multiple strategies whale optimization algorithm and bidirectional GRU. [PDF]
Zhang S, Fu Q, An D, He Z, Liu Z.
europepmc +1 more source
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

