Results 61 to 70 of about 300,398 (297)

Combined Process‐ and Phase‐Field‐Simulation to Predict the Microstructure of Single‐Crystal Ni‐Based Superalloys

open access: yesAdvanced Engineering Materials, EarlyView.
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm   +3 more
wiley   +1 more source

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

open access: yesAdvanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat   +7 more
wiley   +1 more source

Deteksi Kanker Kulit Melanoma dengan Linear Discriminant Analysis-Fuzzy k-Nearest Neigbhour Lp-Norm

open access: yes, 2016
Abstrak Seiring perkembangan teknologi dilakukan otomatisasi deteksi kanker kulit melalui citra dermoscopy. Pengambilan informasi fitur citra dermoscopy terganggu dengan outlier dan overfitting, karena faktor jenis kulit, penyebaran kanker yang ...
Mentari, Mustika   +5 more
core   +1 more source

Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization

open access: yesIEEE Access, 2018
As a useful classification method, generalized eigenvalue proximal support vector machine (GEPSVM) is recently studied extensively. However, it may suffer from the sensitivity to outliers, since the L2-norm is used as a measure distance.
Xiao-Quan Sun   +4 more
doaj   +1 more source

On the relations between lp norms for matrices

open access: yesCommunications, Faculty Of Science, University of Ankara Series A1Mathematics and Statistics, 1994
The norm, Z^ operatör norm and mixed 1^^ norm of an mxn complex matrix A ~ given byN4 !m np. L Ş i ijİ_-It _j_=_ı Pandll^llp = mas-j^ ] Ax | xeC«, J x J 1}andip«nswJ=1I “zy I P vl”respectively [2 ].
openaire   +3 more sources

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

open access: yesAdvanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies   +2 more
wiley   +1 more source

Approximation of Signals (Functions) by Trigonometric Polynomials in Lp-Norm

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2014
Mittal and Rhoades (1999, 2000) and Mittal et al. (2011) have initiated a study of error estimates En(f) through trigonometric-Fourier approximation (tfa) for the situations in which the summability matrix T does not have monotone rows.
M. L. Mittal, Mradul Veer Singh
doaj   +1 more source

Estimates For An Integral In Lp Norm Of The (N + 1)-Th Derivative Of Its Integrand

open access: yes, 2000
Basing on Taylor’s formula with an integral remaider, an integral is estimated in Lp norm of the (n + 1)-th derivative of its integrand, and the Iyengar’s inequality and many other useful inequalities are ...
Qi, Feng, Guo, Bai-Ni
core  

Lp-norm proximal support vector machine and its applications

open access: yes, 2010
In this paper, we propose an efficient lp-norm ...
Wen Jing Chen   +3 more
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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