Essays about: "geomatics"
Showing result 1 - 5 of 68 essays containing the word geomatics.
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1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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2. Forest growth under future climate change in the context of bioenergy – case studies of combined heat and power plants in Sweden
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : The pressure to achieve net-zero emissions has pushed for new technologies including carbon capture and storage (CCS) based on the combustion of biomass (BECCS). While bioenergy is a relatively mature industry in Sweden, the addition of CCS may increase the demand for local biomass. READ MORE
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3. Road traffic noise simulations based on 3D city models
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Urban development and densification cause noise problems that can have a negative impact on human health. In 2002, the European Union (EU) stated the European Noise Directive (END) with the purpose to evaluate environmental noise levels (including the sources road, railway, and air traffic) in the member states every 5 years. READ MORE
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4. Automatic icon placement approach for improved association & walkability on city wayfinding maps
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : With the evolution of cartography from hand-drawn to digital maps, the task of icon placement has become increasingly complex. Nowadays there is a need to automate this process to produce high quality results in less time. READ MORE
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5. Automatic text placement on maps using deep learning keypoint detection models
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Labeling the map is one of the most essential parts of the cartographic process that requires a huge time and energy. It is proven that the automation of map labeling is an NP-hard problem. There have been many research studies that tried to solve it such as rule-based methods, metaheuristics, and integer programming. READ MORE