Publications related to Road map

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

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 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

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

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

Optical diffraction tomography from single-molecule localization microscopy

Michaël Unser, Thanh-An Michel Pham, Emmanuel Emilien Louis Soubies, Ferréol Arnaud Marie Soulez

Single-molecule localization microscopy (SMLM) is a powerful method for the imaging of cellular structures. This modality delivers nanoscale resolution by sequentially activating a subset of fluorescent molecules and by extracting their super-resolved posi ...

2021

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Road map

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

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

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

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

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

Learning convergence prediction of astrobots in multi-object spectrographs

Optical diffraction tomography from single-molecule localization microscopy

People's perceptions of the cultural ecosystem services of the Sava river in the Balkans: the contribution of participatory mapping

Graph Chatbot

Chat with Graph Search

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

Learning convergence prediction of astrobots in multi-object spectrographs

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

Optical diffraction tomography from single-molecule localization microscopy

People's perceptions of the cultural ecosystem services of the Sava river in the Balkans: the contribution of participatory mapping

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

A Lightweight Goal-Based model for Trajectory Prediction

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