NAVAROU - Potentiel d'utilisation des données routières de la navigation automobile pour l'entretien routier
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Industry and academia are continuously becoming more data-driven and data-intensive, relying on the analysis of a wide variety of datasets to gain insights. At the same time, data variety increases continuously across multiple axes. First, data comes in mu ...
Core to many scientific and analytics applications are spatial data capturing the position or shape of objects in space, and time series recording the values of a process over time. Effective analysis of such data requires a shift from confirmatory pipelin ...
Synopsis: Create a fair ranking system for the 2018 FIFA World Cup LCAV20171130 Level: BS, MS Description: Imagine that you are given the scores of all the 32 teams participating in the 2 ...
Academic affinities are one of the most fundamental hidden dynamics that drive scientific development. Some affinities are actual, and consequently can be measured through classical academic metrics such as co-authoring. Other affinities are potential, and ...
The present paper focuses on the work conducted by the NGO Teto in São Paulo (Brazil), where a series of datasets providing geographic information on slums is being elaborated thanks to recent geospatial technologies well suited for a non-specialist, volun ...
We have recently witnessed the appearance of algorithms that can reconstruct a room’s geometry from echoes, as well as algorithms that use echoes to localize many microphones. This project will consist in implementing a framework for microphone localizatio ...
Luminance ratios have historically been used to assess glare. Using data from a previous experiment, this exploratory study investigates the relationship between luminance variations in the field of view (FOV), measured as luminance ratios, and glare sensa ...
Data fusion is the process of resolving conflicting data from multiple data sources. As the data sources are inherently heterogenous, there is a need for an expert to resolve the conflicting data. Traditional approach requires the expert to resolve a consi ...
Advances in data acquisition—through more powerful supercomputers for simulation or sensors with better resolution—help scientists tremendously to understand natural phenomena. At the same time, however, it leaves them with a plethora of data and the chall ...
Advances in data acquisition technologies and supercomputing for large-scale simulations have led to an exponential growth in the volume of spatial data. This growth is accompanied by an increase in data complexity, such as spatial density, but also by mor ...