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Since the initation of the Global plan of action for Farm Animal Genetic Resources (FAnGR) in 2007, individual member countries, including Switzerland, should have started a monitoring program. In this context, we developed GenMon-CH, funded by the Federal ...
This thesis introduces a novel framework for the fundamental design of energy systems for neighbourhoods. The framework is based on the sequential integration of three software tools: QGIS, City Energy Analyst (CEA) and Urbio. QGIS is used to build the bui ...
In 2007, FAO (Food and Agriculture Organization, from the United Nations) initiated the Global plan of action for Farm Animal Genetic Resources (FAnGR) to reduce further loss of genetic diversity in farm animals. One of the key issues mentioned is to ident ...
Precisely estimating a robot’s pose in a prior, global map is a fundamental capability for mobile robotics, e.g., autonomous driving or exploration in disaster zones. This task, however, remains challenging in unstructured, dynamic environments, where loca ...
This paper addresses the local terrain mapping process for an autonomous robot. Building upon an onboard range measurement sensor and an existing robot pose estimation, we formulate a novel elevation mapping method from a robot-centric perspective. This fo ...
This paper presents MEU (http://meu.epfl.ch) project results: a new GIS-centric web application for energy management and planning of existing or new urban zones. The project has been carried out with the collaboration of four Western Switzerland cities an ...
Inventaire des quartiers rhodaniens Dans le cadre du projet de recherche « Rhodanie urbaine », une partie du travail consiste à recenser, le long du Rhône dans son ensemble, tous les secteurs présentant certaines traces d’urbanisation ; qu’elles soient anc ...
Locating populations in rural areas of developing countries has attracted the attention of humanitarian mapping projects since it is important to plan actions that affect vulnerable areas. Recent efforts have tackled this problem as the detection of buildi ...
In this presentation we introduce basic knowledge about the use of located health data to detect clusters of disease prevalence. Most often, geographic maps are produced to represent health data. Medical information is transmitted through thematic chorop ...
Convolutional neural networks (CNNs) have been demonstrated to be highly effective in the field of pulmonary nodule detection. However, existing CNN based pulmonary nodule detection methods lack the ability to capture long-range dependencies, which is vita ...
