Concept

Procédure hiérarchique d'analyse

Publications associées (36)

Working Space

Regeneration of urban areas from neighborhoods in transition to innovative components. Research at the LAST aims to contribute to transitions towards sustainability in the built environment by integrating environmental, socio-cultural, and economic paramet ...

2023

Rhodanie urbaine

Sergi Aguacil Moreno, Martine Laprise, Judith Elisa Drouilles, Pascal Pierre Michon, Clément Cattin, Sara Sonia Formery Regazzoni

Regeneration of urban areas from neighborhoods in transition to innovative components Research at the LAST aims to contribute to transitions towards sustainability in the built environment by integrating environmental, socio-cultural, and economic paramete ...

2023

Quantum-based approach for laboratory risk assessment and decision-making

Ruoxing Liao

With the rising focus on academic safety, there has been an effort to improve the academic safety climate and develop lab-specific risk assessment tools. Despite the progress made in recent years, there is still a deficit of reliable data statistics on saf ...

2022

A geographical study of (M)over-bar(2)(P-2, 4)(main)

Francesca Carocci

We discuss criteria for a stable map of genus two and degree 4 to the projective plane to be smoothable, as an application of our modular desingularisation of (M) over bar (2,n)(P-r, d)(main) via logarithmic geometry and Gorenstein singularities. ...

WALTER DE GRUYTER GMBH2022

A semi-automated workflow paradigm for the distributed creation and curation of expert annotations

Martin Alois Rohrmeier, Fabian Claude Moss, Markus Franz Josef Neuwirth, Johannes Hentschel

The creation and curation of labeled datasets can be an arduous, expensive, and time-consuming task. We introduce a workflow paradigm for remote consensus-building between expert annotators, while considerably reducing the associated administrative overhea ...

2021

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

He Xu

In reinforcement learning (RL), an agent makes sequential decisions to maximise the reward it can obtain from an environment. During learning, the actual and expected outcomes are compared to tell whether a decision was good or bad. The difference between ...

EPFL2020

Autonomous Exploration for Radioactive Hotspots Localization Taking Account of Sensor Limitations

Francesco Mondada, Hadi Ardiny, Stefan John Witwicki

Effective radioactive hotspot localization and detection is limited by sensor characteristics (i.e., the long acquisition time and poor angular resolution AR of a gamma camera) that significantly degrade the performance of autonomous exploration in terms o ...

2019

Measurement system design for leak detection in hydraulic pressurized networks

Ian Smith, Gaudenz Moser

This paper compares four sensor placement strategies which differ according to their evaluation criteria (EC). The first involves the minimisation of the expected number of candidate models, and the second is based on maximising joint entropy. The first me ...

Taylor & Francis2017

Why You Can't Beat Blockchains: Consistency and High Availability in Distributed Systems

Rachid Guerraoui, Jad Hamza, Dragos-Adrian Seredinschi

We study the issue of data consistency in highly-available distributed systems. Specifically, we consider a distributed system that replicates its data at multiple sites, which is prone to partitions, and which is expected to be highly available. In such a ...

arxiv2017

Success and failure assessment methodology for wastewater and faecal sludge treatment projects in low-income countries

Christof Holliger, Doulaye Koné, Linda Strande, Magalie Diane Bassan

Many factors influence success and failure of large-scale faecal sludge and wastewater treatment projects in low-income countries. Benchmarking indicators and multicriteria analysis were adapted to define key institutional, technical and financial factors, ...

Routledge Journals, Taylor & Francis Ltd2015

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