Lea Rausch

发表

Providing water for the poor - towards optimal water supply infrastructures for informal settlements by using remote sensing data

John Friesen, Lea Rausch, Peter F. Pelz, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Design of water supply networks and source selection for slums by using mixed-integer programming

Lea Rausch, Peter F. Pelz, John Friesen, 2018 .

Designing a Water Supply Network for Slums in Rio de Janeiro Using Mixed-Integer Programming

Hannes Taubenböck, John Friesen, Lea Rausch, 2018, OR.

Using remote sensing data and cluster algorithms to structure cities

John Friesen, Lea Rausch, Peter F. Pelz, 2019, 2019 Joint Urban Remote Sensing Event (JURSE).

New methods for new systems – How to find the techno-economically optimal hydrogen conversion system

Lea Rausch, Peter F. Pelz, M. Holl, 2017 .

Optimal Parameters for XMSS MT

Lea Rausch, Johannes A. Buchmann, Andreas Hülsing, 2013, CD-ARES Workshops.

A Comparison of MILP and MINLP Solver Performance on the Example of a Drinking Water Supply System Design Problem

Lea Rausch, Peter F. Pelz, Thorsten Ederer, 2016 .

A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data

John Friesen, Lea Rausch, Peter F. Pelz, 2018, Remote. Sens..

Using Mixed-Integer Programming for the Optimal Design of Water Supply Networks for Slums

John Friesen, Lea Rausch, Peter F. Pelz, 2017, OR.

Determining Factors for Slum Growth with Predictive Data Mining Methods

Johannes Fürnkranz, John Friesen, Lea Rausch, 2018 .