Using the hedonic approach to value natural land uses in an urban area: An application to Geneva and Zurich

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High-energy hadron colliders are designed to generate particle collisions within specialized detectors. A higher number of collisions is achieved with high-quality beams of low transverse emittances, meaning a small transverse cross-section, and high inten ...

Motivated by ever-increasing soil degradation and artificialization due to past and present urban growth dynamics, the current trend of spatial planning policies at the European and Swiss levels is promoting increased soil protection, by avoiding new devel ...

This database is meant to evaluate the performance of denoising and delineation algorithms for PPG signals affected by noise. The noise generator allows applying the algorithms under test to an artificially corrupted reference PPG signal and comparing its ...

Laser phase noise remains a limiting factor in many experimental settings, including metrology, time-keeping, as well as quantum optics. Hitherto this issue was addressed at low frequencies ranging from well below 1 Hz to maximally 100 kHz. However, a wide ...

In this article an approximated version of the multi-species, non-linear Coulomb collision operator is derived via the use of a truncated moment expansion of the distribution function to compute the Rosenbluth potentials. The evolution of the distribution ...

The Horizon2020 European project CORTEX aims at developing an innovative core monitoring technique that allows detecting anomalies in nuclear reactors, such as excessive vibrations of core internals, flow blockage, or coolant inlet perturbations. The techn ...

The ongoing ecological crisis is reframing the common binary opposition between architecture and nature and provoking us to ask what kinds of buildings we collectively want to create for the ecosystems that we inhabit. The environment is not a neutral back ...

This article addresses the problem of simultaneous distributed state estimation, and control of linear systems with linear state feedback, subjected to process, and measurement noise, under the constraints of quantized, and rate-limited network data transm ...

Image classification has significantly improved using deep learning. This is mainly due to convolutional neural networks (CNNs) that are capable of learning rich feature extractors from large datasets. However, most deep learning classification methods are ...

Intrinsic neutron noise experiments offer a non-invasive manner to measure the prompt decay constant or reactivity of fissile systems. Using the fluctuations in the density of fission chains, one can infer the kinetics parameters via correlation analysis s ...

Using the hedonic approach to value natural land uses in an urban area: An application to Geneva and Zurich

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Transverse Noise, Decoherence, and Landau Damping in High-Energy Hadron Colliders

OUR COMMON SOILS: West Lausanne Urbanization as Anthropedogenesis, A Section through the Spaces and Times of Urban Soils

Synthetic realistic noise-corrupted PPG database and noise generator for the evaluation of PPG denoising and delineation algorithms

High-frequency broadband laser phase noise cancellation using a delay line

Moment approach of the multi-species non-linear Coulomb collision operator adapted to particle-in-cell codes

Analysis of the first COLIBRI fuel rods oscillation campaign in the CROCUS reactor for the European project CORTEX

Conduit, Patio, Waste: Mapping Environmental Relations in Bairro da Malagueira

A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications

Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks

Towards the Validation of Noise Experiments in the CROCUS Reactor Using the TRIPOLI-4 Monte Carlo Code in Analog Mode