Results 181 to 190 of about 3,569 (224)

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

open access: yesHigh Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma   +4 more
wiley   +1 more source

Exploring Acylcarnitine Metabolism Using Reverse Metabolomics. [PDF]

open access: yesAnal Chem
Keys AJ   +6 more
europepmc   +1 more source

Sub‐optimal Internet of Thing devices deployment using branch and bound method

open access: yesIET Networks, EarlyView.
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley   +1 more source

Diffractive wavefront correction for Fe L‐edge spectroscopy on the meV scale

open access: yesJournal of Synchrotron Radiation, EarlyView.
We propose an aberration‐corrected, wavelength‐dispersive instrument for soft X‐ray spectroscopy at an energy‐resolving power of (5–6) × 104, designed for, for example, resonant inelastic X‐ray scattering at synchrotron beamlines or X‐ray free‐electron lasers.We propose a wavelength‐dispersive instrument for high‐resolution soft X‐ray spectroscopy at ...
Christoph Braig   +3 more
wiley   +1 more source

From Estimation to Discrimination: Algorithmic Bias, Predictive Uncertainty, and Anti‐Discrimination Law

open access: yesThe Modern Law Review, EarlyView.
Machine learning (ML) systems, increasingly deployed in high‐stakes decision‐making, inherently produce uncertain outputs that can lead to unlawful discrimination. This article provides the first legal analysis of how predictive uncertainty in ML systems interacts with UK anti‐discrimination law under the Equality Act 2010.
Holli Sargeant
wiley   +1 more source

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