Results 11 to 20 of about 5,529,234 (318)
Electrical Engineering and Automation Technology in Electrical Engineering
Abstract With the continuous progress of electrical engineering in China, electrical engineering is gradually developing towards automation, which provides a new impetus for the development of our traditional electrical engineering technology.
Huajin He, Yinxin Long
openaire +3 more sources
General relativity in electrical engineering [PDF]
In electrical engineering metamaterials have been developed that offer unprecedented control over electromagnetic fields. Here we show that general relativity lends the theoretical tools for designing devices made of such versatile materials. Given a desired device function, the theory describes the electromagnetic properties that turn this function ...
Leonhardt, Ulf, Philbin, Thomas G.
openaire +11 more sources
Methods of Teaching Electrical Engineering [PDF]
n ...
Dugald C. Jackson
openaire +6 more sources
Elementary electrical engineering [PDF]
n ...
Albert Edmund Clayton+1 more
openaire +4 more sources
Terahertz Frequency Combs Exploiting an On-Chip, Solution-Processed, Graphene-Quantum Cascade Laser Coupled-Cavity [PDF]
The ability to engineer quantum-cascade-lasers (QCLs) with ultrabroad gain spectra, and with a full compensation of the group velocity dispersion, at terahertz (THz) frequencies, is key for devising monolithic and miniaturized optical frequency-comb ...
F. Mezzapesa+30 more
semanticscholar +1 more source
Production of oriented nitrogen-vacancy color centers in synthetic diamond [PDF]
The negatively charged nitrogen-vacancy (${\mathrm{NV}}^{\ensuremath{-}}$) center in diamond is an attractive candidate for applications that range from magnetometry to quantum information processing.
A. Edmonds+17 more
semanticscholar +1 more source
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source