Results 141 to 150 of about 141,879 (256)
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Abstract Gene expression biomarkers have the potential to identify genotoxic and non‐genotoxic carcinogens, providing opportunities for integrated testing and reducing animal use. In August 2022, an International Workshops on Genotoxicity Testing (IWGT) workshop was held to critically review current methods to identify genotoxicants using ...
Roland Froetschl +14 more
wiley +1 more source
A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei +2 more
wiley +1 more source
We unveil that CLC orchestrates the dual role of eosinophil recruitment via CCL26 and tissue remodelling via POSTN in allergic rhinitis, identifying it as a potential therapeutic target. ABSTRACT Allergic rhinitis (AR) is a chronic airway inflammation driven by a type 2 immune response, yet the molecular mechanisms underlying its persistence and tissue
Fanyu Yuan +9 more
wiley +1 more source
Unbiased and error-detecting combinatorial pooling experiments with balanced constant-weight Gray codes for consecutive positives detection. [PDF]
He G +6 more
europepmc +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
2D-Cosine power sine coupled map with fractal-Fibonacci fusion for hyperchaotic image encryption. [PDF]
Kumar M, Ch D.
europepmc +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Acquisition and Utilization of Recursive Rules in Motor Sequence Generation. [PDF]
Martins MD +5 more
europepmc +1 more source
Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums
ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
wiley +1 more source

