Results 201 to 210 of about 618,048 (272)

Influence of Adhesive Type on Heat Induced Delamination in Tension Loaded Shear Lap Cross‐Laminated Timber Samples Exposed to Radiant Heat Flux

open access: yesFire and Materials, EarlyView.
ABSTRACT Heat induced delamination (HID) is a phenomenon in engineered wood products which may result in the detachment of the bonded timber lamellae before charring propagates to the bond line interphase. This study aims to correlate the thermal degradation of two 1‐c‐polyurethane adhesives at the microscale to the thermo‐hydro‐mechanical behaviour of
A. Čolić   +4 more
wiley   +1 more source

New Generalised Semi‐Analytical Approach for the Multidimensional Nonlinear Collisional Fragmentation Equations

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This work aims to develop a generalised and efficient semi‐analytical method that combines the Laplace decomposition method with Pade approximation (LDMPA) to solve multidimensional nonlinear integro‐partial differential equation. For a one‐dimension case, explicit (closed‐form) solutions for the number density functions are derived for the first time.
Somveer Keshav   +4 more
wiley   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer   +3 more
wiley   +1 more source

Coherent Forecasting of Realized Volatility

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley   +1 more source

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