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Chaos sets a fundamental limit to quantum-information processing schemes. We study the onset of chaos in spatially extended quantum many-body systems that are relevant to quantum optical devices. We consider an extended version of the Tavis-Cummings model ...

This article explores the conception, design, and implementation of a hypertextual map that we call hypermap. Using Giovanni Nolli's 1748 map of the city of Rome as a backbone, we conducted an experiment based on one of the routes defined by Giuseppe Vasi' ...

The social discourse surrounding the climate emergency progressively infuses the society, transforming into both micro- and macro-social injunctions to change. Yet, society - grounded in a territorial, social, and cultural contingency - appears to resist t ...

Since the birth of Information Theory, researchers have defined and exploited various information measures, as well as endowed them with operational meanings. Some were born as a "solution to a problem", like Shannon's Entropy and Mutual Information. Other ...

We present a lightweight goal-based model for multimodal, probabilistic trajectory prediction for urban driving. Previous conditioned-on-goal methods have used map information in order to establish a set of potential goals and then complete the correspondi ...

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 ...

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 ...

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 ...

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 ...

Conjugation spaces are topological spaces equipped with an involution such that their fixed points have the same mod 2 cohomology (as a graded vector space, a ring and even an unstable algebra) but with all degrees divided by two, generalizing the classica ...

In this thesis, we study the homotopical relations of 2-categories, double categories, and their infinity-analogues. For this, we construct homotopy theories for the objects of interest, and show that there are homotopically full embeddings of 2-categories ...

Modern cities dynamically face several challenges including digitalization, sustainability, resilience and economic development. Urban planners and designers must develop urban forms that address these challenges. With the integration of new communication ...

We characterize the solution of a broad class of convex optimization problems that address the reconstruction of a function from a finite number of linear measurements. The underlying hypothesis is that the solution is decomposable as a finite sum of compo ...

We define a conforming B-spline discretisation of the de Rham complex on multipatch geometries. We introduce and analyse the properties of interpolation operators onto these spaces which commute w.r.t. the surface differential operators. Using these result ...

This article presents a mapping method that seeks to provide urban planning with a diagnostic overview of the underground resources of an urban area. Resource potentials (for buildable space, groundwater or geomaterial extraction and geothermal energy) ten ...

Adaptive isogeometric methods for the solution of partial diifferential equations rely on the construction of locally refinable spline spaces. A simple and efficient way to obtain these spaces is to apply the multi-level construction of hierarchical spline ...

Regularization addresses the ill-posedness of the training problem in machine learning or the reconstruction of a signal from a limited number of measurements. The method is applicable whenever the problem is formulated as an optimization task. The standar ...

Fractional operators are widely used in mathematical models describing abnormal and nonlocal phenomena. Although there are extensive numerical methods for solving the corresponding model problems, theoretical analysis such as the regularity result, or the ...

Urbanization in Sub-Saharan Africa is mainly marked by an extremely high speed. For a couple of decades, it has become more and more difficult to study and control the urbanization processes using the available means due to their rapidity. These conditions ...

Today, institutionalised discourses surrounding heritage have social and physical impacts, with the potential to lead to a break between inhabitants' collective memory of popular neighbourhoods, and their transforming territories. In this context, the acti ...

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

Chattez avec Graph Search

Transition to chaos in extended systems and their quantum impurity models

Transhistorical Urban Landscape as Hypermap

Resistances to change in urban travel behaviors

A Functional Perspective on Information Measures

A Lightweight Goal-Based model for Trajectory Prediction

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

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

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

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

Realizing doubles: a conjugation zoo

Homotopical relations between 2-dimensional categories and their infinity-analogues

Reviewing the application of machine learning methods to model urban form indicators in planning decision support systems : potential, issues and challenges

Convex optimization in sums of Banach spaces

Multipatch approximation of the de Rham sequence and its traces in isogeometric analysis

Mapping urban underground potential in Dakar, Senegal: From the analytic hierarchy process to self-organizing maps

Isogeometric analysis with C1 hierarchical functions on planar two-patch geometries

A Unifying Representer Theorem for Inverse Problems and Machine Learning

Characterization of image spaces of Riemann-Liouville fractional integral operators on Sobolev spaces W-m,W-p (omega)

Comprendre la construction des périphéries urbaines à Lomé et Yaoundé

Collective Memory and Resistance: Visual explorations in the Historic Centre and Films of Mexico City