Publications related to Map layout

Mapping drivers of tropical forest loss with satellite image time series and machine learning

Devis Tuia, Gaston Jean Lenczner, Jan Dirk Wegner, Jan Pisl, Marc Conrad Russwurm, Lloyd Haydn Hughes

The rates of tropical deforestation remain high, resulting in carbon emissions, biodiversity loss, and impacts on local communities. To design effective policies to tackle this, it is necessary to know what the drivers behind deforestation are. Since drive ...

Iop Publishing Ltd2024

Clustering and Informative Path Planning for 3D Gas Distribution Mapping: Algorithms and Performance Evaluation

Alcherio Martinoli, Chiara Ercolani, Lixuan Tang, Ankita Arun Humne

Chemical gas dispersion can represent a severe threat to human and animal lives, as well as to the environment. Constructing a map of the distribution of gas in a fast and reliable manner is critical to ensure accurate monitoring of at-risk facilities and ...

2022

Mapping Active Site Geometry to Activity in Immobilized Frustrated Lewis Pair Catalysts

Shubhajit Das, Rubén Laplaza Solanas, Jacob Terence Blaskovits

The immobilization of molecular catalysts imposes spatial constraints on their active site. We reveal that in bifunctional catalysis such constraints can also be utilized as an appealing handle to boost intrinsic activity through judicious control of the a ...

2022

Fine-grained population mapping from coarse census counts and open geodata

Devis Tuia, Benjamin Alexander Kellenberger, Muhammad Imran

Fine-grained population maps are needed in several domains, like urban planning, environmental monitoring, public health, and humanitarian operations. Unfortunately, in many countries only aggregate census counts over large spatial units are collected, mor ...

2022

Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning

Devis Tuia, Benjamin Alexander Kellenberger, Thiên-Anh Claris Nguyen

Forest maps are essential to understand forest dynamics. Due to the increasing availability of remote sensing data and machine learning models like convolutional neural networks, forest maps can these days be created on large scales with high accuracy. Com ...

Elsevier2022

Flow pattern observations and flow pattern map for adiabatic two-phase flow of carbon dioxide in vertical upward and downward direction

Jürg Alexander Schiffmann, Rémi Revellin, David Schmid

A test facility to investigate flow pattern transitions of vertical two-phase flow of CO2 has been built within the scope of the high-luminosity detector upgrades at the European Organization for Nuclear Research (CERN). Adiabatic flow pattern observations ...

2022

Travail artisanal et production de l'espace bruxellois. Prototype d'atlas lisuel

Marine Nicole Anne Antoinette Paul Declève

In Brussels today we can observe a proliferation of initiatives that reject the utilitarian framework which society, since industrialisation, has imposed upon the notion of work. Architects of their own lives, their adherents approach work as an existentia ...

EPFL2021

Learning convergence prediction of astrobots in multi-object spectrographs

Denis Gillet, Jean-Paul Richard Kneib, Matin Macktoobian, Francesco Basciani

Astrobot swarms are used to capture astronomical signals to generate the map of the observable universe for the purpose of dark energy studies. The convergence of each swarm in the course of its coordination has to surpass a particular threshold to yield a ...

2021

EEG Spatiotemporal Patterns Underlying Self-other Voice Discrimination

Olaf Blanke, Pavo Orepic, Sixto Luis Alcoba Banqueri, Giannina Rita Iannotti, Thomas Koenig

There is growing evidence showing that the representation of the human “self” recruits special systems across different functions and modalities. Compared to self-face and self-body representations, few studies have investigated neural underpinnings specif ...

2021

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Map layout

Mapping drivers of tropical forest loss with satellite image time series and machine learning

A Lightweight Goal-Based model for Trajectory Prediction

Clustering and Informative Path Planning for 3D Gas Distribution Mapping: Algorithms and Performance Evaluation

Mapping Active Site Geometry to Activity in Immobilized Frustrated Lewis Pair Catalysts

Fine-grained population mapping from coarse census counts and open geodata

Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning

Flow pattern observations and flow pattern map for adiabatic two-phase flow of carbon dioxide in vertical upward and downward direction

Travail artisanal et production de l'espace bruxellois. Prototype d'atlas lisuel

Learning convergence prediction of astrobots in multi-object spectrographs

EEG Spatiotemporal Patterns Underlying Self-other Voice Discrimination

Graph Chatbot

Chat with Graph Search

Mapping drivers of tropical forest loss with satellite image time series and machine learning

Fine-grained population mapping from coarse census counts and open geodata

A Lightweight Goal-Based model for Trajectory Prediction

Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning

Clustering and Informative Path Planning for 3D Gas Distribution Mapping: Algorithms and Performance Evaluation

Travail artisanal et production de l'espace bruxellois. Prototype d'atlas lisuel

Mapping Active Site Geometry to Activity in Immobilized Frustrated Lewis Pair Catalysts

EEG Spatiotemporal Patterns Underlying Self-other Voice Discrimination

Flow pattern observations and flow pattern map for adiabatic two-phase flow of carbon dioxide in vertical upward and downward direction

Learning convergence prediction of astrobots in multi-object spectrographs