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Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen +6 more
wiley +1 more source

Enhanced YOLOv8 for accurate and efficient floating object detection on water surfaces. [PDF]

Sci Rep
Cao Y, Luo H, Wang M, Wang Y, Yan H.
europepmc +1 more source

Performance Assessment of the Immersed Boundary Method in the Framework of the Moment Representation Lattice Boltzmann Method

International Journal for Numerical Methods in Fluids, EarlyView.
The immersed boundary method (IBM) was coupled with the moment representation lattice Boltzmann method (MR‐LBM), reducing bandwidth requirements compared to population‐based LBM formulations. A systematic assessment of IBM parameters was conducted to quantify their effect on computational performance.
Marco A. Ferrari, Ricardo de Souza, Admilson T. Franco +2 more
wiley +1 more source

Stack-based static WebAssembly binary slicing and mutation for generating valid sub-binaries. [PDF]

Sci Rep
Choi G, Jeon S.
europepmc +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider +2 more
wiley +1 more source

Implementation of a Low-Cost Navigation System Using Data Fusion of a Micro-Electro-Mechanical System Inertial Sensor and an Ultra Short Baseline on a Microcontroller. [PDF]

Sensors (Basel)
Winkler J, Badri-Hoeher S.
europepmc +1 more source

Forecasting Natural Gas Futures Price Volatility of the United States: National Versus State‐Level Climate Concern Indexes

Journal of Futures Markets, EarlyView.
ABSTRACT This paper uses GARCH‐MIDAS to predict US natural gas futures volatility using national and state‐level Climate Concern Indexes (CCIs). We find that both national and state‐level CCIs positively affect price volatility. Notably, models using state‐level data—specifically those utilizing least‐squares (LS) weighting combinations—surpass the ...
Afees A. Salisu +3 more
wiley +1 more source

Interference-aware frequency-agile onboard processor using fine-grained multilevel analysis-synthesis filter-bank channelization. [PDF]

Sci Rep
Sarkar S, Das A, Mishra D, Gupta A.
europepmc +1 more source

A Reproducible SEM Surface Imaging Protocol for Monitoring Microstructural Changes During Gas–Rock Interactions

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT Reliable characterization of mineralogical and textural changes in rock samples is essential for understanding fluid–rock interactions, particularly in experimental studies simulating subsurface conditions. This study presents a reproducible protocol for scanning electron microscopy (SEM) analysis of rock surfaces before and after exposure to ...
Berta Ordóñez‐Casado +3 more
wiley +1 more source

Reliable parameter estimation of nonlinear chaotic systems and PMSMs with the stellar oscillation optimizer. [PDF]

Sci Rep
Ekinci S +5 more
europepmc +1 more source

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floating point arithmetic
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