Results 141 to 150 of about 1,354,279 (305)

Non‐Destructive and Mechanical Characterization of the Bond Quality of Co‐Extruded Titanium‐Aluminum Profiles

Advanced Engineering Materials, EarlyView.
This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld, Ahmed Dewidar, Karim Qarbi, Hendrik Wester, Florian Patrick Schäfke, Alexej Verschinin, Hans Jürgen Maier, Sebastian Barton, Christian Klose, Johanna Uhe   +9 more
wiley   +1 more source

Bagging-based heteroscedasticity-adjusted ridge estimators in the linear regression model

Kuwait Journal of Science
The existence of multicollinearity between independent variables and heteroscedastic error has a colossal impact on the performance of the ordinary least square (OLS) estimator and its covariance matrix.
doaj   +1 more source

On the lower bounds for mean square error of empirical bayes estimators [PDF]

, 1995
M. Ya. Penskaya
openalex   +1 more source

Trans‐Conductive Melt Pool Scaling and its Implications for Parameter Transfer in Laser Powder Bed Fusion for Metals with High Thermal Diffusivity

Advanced Engineering Materials, EarlyView.
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring, Matthias Gehring, Michael Schmidt   +2 more
wiley   +1 more source

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

, 2009
H. Gupta, H. Kling, K. Yilmaz, G. Martinez   +3 more
semanticscholar   +1 more source

Understanding Normalized Mean Squared Error in Power Amplifier Linearization

IEEE Microwave and Wireless Components Letters, 2018
P. Händel
semanticscholar   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Ω_±-results of the error term in the mean square formula of the Riemann zeta-function in the critical strip [PDF]

, 2001
Yuk-Kam Lau, Kai-Man Tsang
openalex   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Comprehensive deformation study in the new Austrian tunneling technique tunnel utilising artificial neural network model

AiBi Revista de Investigación, Administración e Ingeniería
Ground deformation during tunneling projects is one of the complicated concerns that must be constantly monitored to prevent unanticipated damages and human losses.
Shubham Kanojiya, Gopal Krishna Mehta
doaj   +1 more source