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Dissertation
Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence
(2020)
Purpose: Previous studies revealed that around 75 percent of all start-ups fail at an early stage. One main reason for this tremendous failure rate is that entrepreneurs are typically confronted with high levels of uncertainty about the viability of their proposed business idea. Following this argumentation, entrepreneurial decision-making can be defined as complex decision-making problem under both risk and uncertainty. While risk includes quantifiable probabilities, uncertainty describes situations where neither ...
Dissertation
Using Optical Satellite Imagery to Monitor and Understand Agricultural Land-cover Change
(2020-06)
The activities of humans have transformed the earth over the last decades. The transformation is estimated to increase further in response to the growing world population. This has caused many countries to devise means to utilize resources sustainably. Bio-economy is seen as a means to reduce the high reliance on fossil materials and ensure the provision of raw materials, energy and food to the increasing world population in a sustainable manner. However, the rising demands for biomass to produce bioenergy have relied ...
Dissertation
Fine-scale grassland monitoring using unmanned aerial vehicle borne remote sensing
(2020-04)
RS is widely employed as a non-destructive methodology to monitor grasslands. Usage of UAV as the RS platform benefits to provide high spatial (fine-grain) and temporal resolution, unclouded data over small grassland extent. Therefore, this thesis evaluated the applications of UAV-borne RS for fine-scale grassland monitoring along with practical farm condition. Grass biomass estimation, predicting forage quality of grass and mapping invasive lupine in grasslands are considered as applications of UAVborne RS.
Dissertation
Crowd-Based Entrepreneurship
(2020)
The aim of this dissertation is to explore the innovation potential of crowdsourcing for entrepreneurship. The main focus is to discover how crowd-based infrastructures (i. e., crowdsourcing platforms and crowdfunding platforms) can support entrepreneurs in their innovation activities and how this new paradigm can be used to generate value for customers as well as actors of entrepreneurial ecosystems. The results of the dissertation show that crowdsourcing offers numerous opportunities to support entrepreneurs in ...
Dissertation
Analyzing Given Names
(2020)
Computer science has evolved so much that it influences almost every part of human live. A particularly personal part of human live is the selection of a given name for a newborn baby. The name discovery service Nameling is our way to help expectant parents with this decision. It is a web service that helps parents to find a given name for their newborn baby. We want to further improve the user experience of Nameling by personalizing its name results for the current user. We deem this important, because the selection ...
Dissertation
Symbolic Representation of Dynamic Knowledge for Robotic Teams
(2020-11)
Das Forschungsziel dieser Arbeit ist es, die konzeptionellen Grundlagen für ein Team autonomer Roboter zu entwickeln, welches in der Lage ist, Wissen über seine Umwelt symbolisch darzustellen, über sein symbolisches Wissen zu kommunizieren und mit dem Wissen zu schlussfolgern, während sich die Umgebung dynamisch ändert. Dieses Forschungsziel wird durch mehrere Anwendungsbereiche motiviert, wobei die Domäne der Haushaltsroboter das Forschungsziel am besten motiviert. Wir haben die Anwendungsdomänen und das Forschungsziel ...