Results 171 to 180 of about 3,327 (217)

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

Productivity and Human Disturbance Shape Contrasting Distribution Patterns of Core and Occasional Bird Species in a Subtropical Forest Reserve in Southern China

open access: yesIntegrative Zoology, EarlyView.
Bird diversity hot spots in a recovering subtropical forest do not align with protected area zoning, instead occurring in experimental zones with low‐intensity human activity. This mismatch is driven by contrasting responses: Abundant core species are supported by productivity, while many species of low frequency are attracted to the habitat ...
Qing Quan   +5 more
wiley   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

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