Results 81 to 90 of about 823,383 (284)
Advances in Mechanical Engineering, 2020 Gear pump is the key component in hydraulic drive system, and it is very significant to fault diagnosis for gear pump. The combination of sparsity empirical wavelet transform and adaptive dynamic least squares support vector machine is proposed for fault
Yan Lu, Zhiping Huang
doaj +1 more source
Laser Metal Deposited Ti4822 Hollow Pipe: Experimental and Computational Modelling Study
Advanced Engineering Materials, EarlyView.Laser metal deposition (LMD) of a crack‐free built Ti4822 alloys is challenging. This article reports outstanding characteristics of a hollow pipe that is built with LMD technology when a predicted, nontransformation substrate temperature of 800 °C is used.
Sadiq A. Raji +5 more
wiley +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine [PDF]
, 2020 Waqas Ahmad +6 more
openalex +1 more source
Screen‐Printed Flexible Piezoelectric Force Sensor Array with Electromagnetic Interference Shielding
Advanced Engineering Materials, EarlyView.This article introduces a flexible screen‐printed piezoelectric sensor array designed for low‐frequency healthcare applications such as tactile sensing and cardiovascular monitoring. The device integrates interface electronics enabling the simultaneous acquisition of up to 128 signals, along with flexible EMI shielding that significantly reduces noise ...
Joseph Faudou +6 more
wiley +1 more source
LINEX Support Vector Machine for Large-Scale Classification
IEEE Access, 2019 Traditional soft margin support vector machine usually uses hinge loss to build a classifier with the “maximum-margin” principle. However, C-SVM depends on support vectors causing the loss of data information.
Yue Ma +3 more
doaj +1 more source
Synchrotron Radiation for Quantum Technology
Advanced Functional Materials, EarlyView.Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
Grey Wolf Optimizes Mixed Parameter Multi-Classification Twin Support Vector Machine
Jisuanji kexue yu tansuo, 2020 Twin support vector machine (TWSVM) is an efficient binary classification algorithm based on support vector machine (SVM). Since most of the problems in reality are multi-classified, it is very important to extend binary classification twin support ...
ZHOU Guangyue, LI Kewen, LIU Wenying, SU Zhaoxin
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Regression depth and support vector machine [PDF]
The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in the area of robust regression for a continuous response variable.
Christmann, Andreas
core
Advanced Functional Materials, EarlyView.Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley +12 more
wiley +1 more source