Results 61 to 70 of about 3,784 (194)

Lasso for hierarchical polynomial models

Canadian Journal of Statistics, EarlyView.
Abstract The divisibility conditions implicit in a polynomial hierarchy suggest parameter constraints in regression. With this idea, we establish strong and weak hierarchies for both the lasso and relaxed lasso. Our proposal extends prior work on hierarchical lasso, which was mainly concerned with models of degree 2.
H. Maruri‐Aguilar, S. Lunagómez
wiley   +1 more source

Semi‐analytical solution for the stability of deep vertical shaft considering time‐dependent rock‐structure interaction

Deep Underground Science and Engineering, EarlyView.
A novel cavity contraction solution and multilayer shaft wall model were developed to analyze deep shaft stability, considering rock viscosity, support structures, and water pressure, with successful validation through a Hulusu Coal Mine case study.
Bin Chen, Pinqiang Mo, Zhao Lu, Lianfei Kuang, Qiang Zhang, Abolfazl Eslami   +5 more
wiley   +1 more source

Experimental and smoothed particle hydrodynamics‐finite element method simulation investigation of synergistic erosion mechanism of gangue‐based abrasive water jets

Deep Underground Science and Engineering, EarlyView.
This study proposes an eco‐friendly coal permeability enhancement technique by utilizing mine waste gangue as an abrasive in high‐pressure water jets. Integrating erosion experiments with smoothed particle hydrodynamics‐finite element method coupled simulations, the research study elucidates the flow field dynamics and a nonlinear solid–liquid ...
Qingxiang Wang, Jiaxu Tang, Qiheng Ren, Ding Wang, Tong Wang   +4 more
wiley   +1 more source

Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su, Mayssa Dabaghi, Marco Broccardo   +2 more
wiley   +1 more source

Research on Crack Propagation and Stress Propagation in Coal‐Rock Combinations Under Different In Situ Stresses Subjected to Blasting Loads

Energy Science &Engineering, EarlyView.
A stress wave propagation model for coal‐rock combinations under in situ stress was established. Taking a coal mine in Huainan, China as the engineering background, isotropic and anisotropic numerical models were constructed. Field engineering practices were carried out to verify the reliability of the conclusions.
Jianyu Zhang, Guangming Chen, Meiyao Li, Xinyu Wang, Yuting Liu, Renjie Cui, Yixin Gong   +6 more
wiley   +1 more source

Effects of Camber of S‐Series Airfoils on Aerodynamic Performance, Entropy Generation Rate, Irreversibility, and Second Law Efficiency of Horizontal Axis Wind Turbines

Energy Science &Engineering, EarlyView.
Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley   +1 more source

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park, Sunghyun Sim, Kikun Park, Yongjae Lee, Eunhee Park, Hyerim Bae   +5 more
wiley   +1 more source

New Thermal Lattice Boltzmann Method for Modeling Heat Transfer Problems Considering Temperature‐Dependent Properties

Heat Transfer, EarlyView.
ABSTRACT Several engineering problems involve the need to model conjugate heat transfer processes considering the temperature‐dependence of the material properties. Consequently, a simulation tool capable of modeling this process is of great interest. In this context, the present work proposes a thermal lattice Boltzmann method (TLBM) for modeling the ...
Julia Akiko Sassa, Ivan Talão Martins, Luben Cabezas Gómez   +2 more
wiley   +1 more source

Characterization of Graphs Without Even F $F$‐Orientations

Journal of Graph Theory, EarlyView.
ABSTRACT A graph G $G$ is 1‐extendable if every edge belongs to at least one 1‐factor of G $G$. Let G $G$ be a graph with a 1‐factor F $F$. Then an even (odd) F $F$ ‐orientation of G $G$ is an orientation in which each F $F$‐alternating cycle has exactly an even (odd) number of edges directed in the same fixed direction around the cycle.
Marién Abreu, Domenico Labbate, Federico Romaniello, John Sheehan   +3 more
wiley   +1 more source

NTECARS: A Nonthermal Equilibrium CARS Spectra Fitting Code

Journal of Raman Spectroscopy, EarlyView.
We present NTECARS, an open‐source code written in Julia for the calculation and fitting of CARS spectra under nonequilibrium conditions. Rovibrational distributions can be flexibly modeled and fitted for different use cases. The code currently implements CO2$$ \mathrm{C}{\mathrm{O}}_2 $$ and N2$$ {\mathrm{N}}_2 $$ molecules and is validated under ...
Christian A. Busch, Uwe Czarnetzki
wiley   +1 more source