Accurate, rapid and reliable, fully automated MRI brainstem segmentation for application in multiple sclerosis and neurodegenerative diseases
Sign Up to like & getrecommendations! Published in 2019 at "Human Brain Mapping"
DOI: 10.1002/hbm.24687
Abstract: Neurodegenerative disorders, such as Alzheimer's disease (AD) and progressive forms of multiple sclerosis (MS), can affect the brainstem and are associated with atrophy that can be visualized by MRI. Anatomically accurate, large‐scale assessments of brainstem… read more here.
Keywords: segmentation; fully automated; multiple sclerosis; brainstem ... See more keywords
A short-term forecasting method for photovoltaic power generation based on the TCN-ECANet-GRU hybrid model
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-56751-6
Abstract: Due to the uncertainty of weather conditions and the nonlinearity of high-dimensional data, as well as the need for a continuous and stable power supply to the power system, traditional regression analysis and time series… read more here.
Keywords: tcn ecanet; gru; model; power ... See more keywords
Visibility forecast in Jiangsu province based on the GCN-GRU model
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DOI: 10.1038/s41598-024-61572-8
Abstract: Low visibility weather easily leads to traffic accidents, posing threats to human life and property. To accurately forecast visibility, we conduct an empirical study focusing on Jiangsu Province. Firstly, we collect the monitoring data from… read more here.
Keywords: gru model; jiangsu province; gru; gcn gru ... See more keywords
Research on short-term precipitation forecasting method based on CEEMDAN-GRU algorithm
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-83365-9
Abstract: Precipitation forecasting is vital for managing disasters, urban traffic, and agriculture. This study develops an improved model for short-term precipitation forecasting by combining Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Gated Recurrent… read more here.
Keywords: gru; precipitation forecasting; precipitation; short term ... See more keywords
Exploiting question-answer framework with multi-GRU to detect adverse drug reaction on social media
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-87724-y
Abstract: Adverse Drug Reactions (ADRs) stand out as a pressing challenge in public health and a critical aspect of drug discovery. The dilemma arises from the inherent impossibility of conducting a comprehensive evaluation of a drug… read more here.
Keywords: adverse drug; question answer; gru; drug ... See more keywords
An improved GRU method for slope stress prediction
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DOI: 10.1038/s41598-025-97697-7
Abstract: The stability of open-pit mine slopes is a complex nonlinear system. Stress variation is a significant influencing factor in the occurrence of landslide disasters and is also a key research focus in landslide early warning… read more here.
Keywords: gru; prediction; model; dbo ... See more keywords
Shale oil production time series forecasting for multi-fractured horizontal wells with optimized artificial neural networks integrating multi-source data
Sign Up to like & getrecommendations! Published in 2025 at "Physics of Fluids"
DOI: 10.1063/5.0260766
Abstract: Time series forecasting is crucial for guiding capital investment, production enhancement, and optimization in the oil and gas industry. However, conventional data-driven approaches for the production prediction fail to meet the industry's criteria. This paper… read more here.
Keywords: lstm gru; gru; mlp; production ... See more keywords
A prediction model for chlorophyll concentration in seawater based on BorutaShap-MEMD-GRU
Sign Up to like & getrecommendations! Published in 2024 at "Physica Scripta"
DOI: 10.1088/1402-4896/ad6217
Abstract: To solve the problem of the difficulty in selecting multi-parameter features of the ocean and the lack of power of traditional time-series prediction models in predicting ocean data, an ocean time-series prediction GRU model based… read more here.
Keywords: gru; prediction; model; time series ... See more keywords
River Flooding Forecasting and Anomaly Detection Based on Deep Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034875
Abstract: Pluvial floods are rare and dangerous disasters that have a small duration but a destructive impact in most countries. In recent years, the deep learning model has played a significant role in operational flood management… read more here.
Keywords: gru; conv gru; model; gru model ... See more keywords
Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3351809
Abstract: Alzheimer’s Disease (AD) is a significant cause of dementia worldwide, and its progression from mild to severe affects an individual’s ability to perform daily activities independently. The accurate and early diagnosis of AD is crucial… read more here.
Keywords: classification; alzheimer disease; vit; gru ... See more keywords
Toward Bootstrapping-Free Homomorphic Encryption-Based GRU Network for Text Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3422455
Abstract: Homomorphic encryption (HE) is a promising method in privacy-preserving cloud computing. Applying HE on feedforwad neural networks has been frequently reported recently but the research on recurrent neural networks is still insufficient. In previous studies,… read more here.
Keywords: text classification; bootstrapping free; gru; homomorphic encryption ... See more keywords