Results 61 to 70 of about 806,396 (338)

Large‐Scale Interlaboratory Study Along the Entire Process Chain of Laser Powder Bed Fusion: Bridging Variability, Standards, and Optimization across Metals and Polymers

open access: yesAdvanced Engineering Materials, EarlyView.
What happens when 32 labs join forces to study nanoparticle‐modified powders? A data‐driven journey through laser powder bed fusion—now openly accessible for the entire additive manufacturing community—is studied. Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving ...
Ihsan Murat Kuşoğlu   +73 more
wiley   +1 more source

On the Complexity of Learning with Kernels [PDF]

open access: yes, 2014
A well-recognized limitation of kernel learning is the requirement to handle a kernel matrix, whose size is quadratic in the number of training examples.
Cesa-Bianchi, Nicolò   +2 more
core   +1 more source

Mitigation of Cracks in High‐Performance Nickel‐Based Superalloys in Powder Bed Fusion Laser Beam of Metals Using a Metal Matrix Composite Approach

open access: yesAdvanced Engineering Materials, EarlyView.
High‐performance nickel‐based superalloys are often not processible in additive manufacturing (AM) due to hot cracking. The findings in this manuscript propose an efficient method to mitigate cracking and enhance mechanical properties of these alloys by producing a metal matrix composite, contributing to the material and process perspective of the AM ...
Klaus Büßenschütt   +3 more
wiley   +1 more source

Spatio-Functional Nadaraya–Watson Estimator of the Expectile Shortfall Regression

open access: yesAxioms
The main aim of this paper is to consider a new risk metric that permits taking into account the spatial interactions of data. The considered risk metric explores the spatial tail-expectation of the data.
Mohammed B. Alamari   +3 more
doaj   +1 more source

Robust kernel regression function with uncertain scale parameter for high dimensional ergodic data using $ k $-nearest neighbor estimation

open access: yesAIMS Mathematics, 2023
In this paper, we consider a new method dealing with the problem of estimating the scoring function $ \gamma_a $, with a constant $ a $, in functional space and an unknown scale parameter under a nonparametric robust regression model.
Fatimah Alshahrani   +3 more
doaj   +1 more source

Evolution Kernels from Splitting Amplitudes

open access: yes, 2003
We recalculate the next-to-leading order Altarelli-Parisi kernel using a method which relates it to the splitting amplitudes describing the collinear factorization properties of scattering amplitudes.
Alekhin   +81 more
core   +1 more source

Study of the Effect of Process Parameters and Heat Treatment on the Formation and Evolution of Directed Energy Deposition of IN718‐CuCrZr Interface

open access: yesAdvanced Engineering Materials, EarlyView.
Bimetallic structures of Inconel 718 and CuCrZr are fabricated using the laser powder directed energy deposition method. The study reveals a strong dependence of interface characteristics such as width and interfusion on processing and heat treatment strategies.
Hamidreza Javidrad, Bahattin Koc
wiley   +1 more source

A Kernel-Based Calibration Algorithm for Chromatic Confocal Line Sensors

open access: yesSensors
In chromatic confocal line sensors, calibration is usually divided into peak extraction and wavelength calibration. In previous research, the focus was mainly on peak extraction. In this paper, a kernel-based algorithm is proposed to deal with wavelength
Ming Qin   +7 more
doaj   +1 more source

Biodegradable, Humidity‐Insensitive Mask‐Integrated E‐Nose for Sustainable and Non‐Invasive Continuous Breath Analysis

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal   +2 more
wiley   +1 more source

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