Precision pharmacology: deep learning infused ontological framework with E-GRU enhancement for tailored medicine prescriptions. [PDF]
Khalingarajah H +4 more
europepmc +1 more source
On the Adversarial Robustness of Hydrological Models
Abstract The evaluation of hydrological models is essential for both model selection and reliability assessment. However, comparing predictions with observations alone is insufficient to fully characterize model behavior. This limitation is particularly relevant to deep learning (DL) models because of their complex internal structures.
Yang Yang +3 more
wiley +1 more source
Wind Turbine Blade Fault Diagnosis Integrating Multi-Scale Enhanced Hierarchical Fuzzy Entropy, Isolation Forest and GWO-GRU. [PDF]
Wang M, Zhang XF, Qin GJ, Liu M.
europepmc +1 more source
Riverine Flood Forecasting Using Advanced Deep Learning Approaches
ABSTRACT Accurate riverine flood forecasting is crucial for effective river management. This paper utilized the Time‐Series Dense Encoder (TiDE), Neural Hierarchical Interpolation for Time Series Forecasting (N‐HiTS), and Patch Time Series Transformer (PatchTST) to forecast riverine flood and benchmarked their results against Long Short‐Term Memory ...
Krishna Panthi +2 more
wiley +1 more source
A CNN-BiLSTM-GRU and attention-integrated hybrid network for epileptic seizure detection. [PDF]
Wang X, Gong T, Li X, Lin T.
europepmc +1 more source
Individual bird identification by modelling temporal structure in bioacoustic embeddings
Abstract Identifying individual animals from vocalizations is an emerging research area in computational bioacoustics. This non‐invasive approach reduces reliance on physical capture and tagging for wildlife monitoring. Recent advances in this area leverage deep learning and bioacoustic foundation models adapted from species‐level classifiers. However,
Jonathan Gallego +2 more
wiley +1 more source
Multi-Sensor Spatiotemporal Feature Fusion for Early Warning of Cable Fires in Power Cable Tunnels. [PDF]
Wang M, Li D, Sun X, Zheng H.
europepmc +1 more source
Factors Influencing the Emergence of Dependency Length Minimization in Neural Agent Simulations
Abstract Given various grammatical options, language users prefer the word order choice that reduces the overall length of syntactic dependencies, a principle known as dependency length minimization (DLM). The origins of this preference remain an open question, particularly whether it originates from constraints on efficient information processing ...
Yuqing Zhang +3 more
wiley +1 more source
House price prediction using a hybrid GRU-MLP based on binary whale optimization algorithm and ant colony optimization for hyperparameter tuning. [PDF]
Alhammad SM +5 more
europepmc +1 more source
Abstract Following a request from the European Commission, the EFSA Panel on Nutrition, Novel Foods and Food Allergens (NDA) was asked to deliver an opinion on the safety of benfotiamine as a novel food (NF) pursuant to Regulation (EU) 2015/2283 and on the bioavailability of benfotiamine as a source of thiamin in the context of Directive 2002/46/EC ...
EFSA Panel on Nutrition +27 more
wiley +1 more source

