Sökning: "road maps"
Visar resultat 1 - 5 av 98 uppsatser innehållade orden road maps.
1. Venturing Through Economic Disruptions An In-Depth Analysis of Early-Stage Venture Capital in Sweden and Strategic Guidelines for Startup Success in Economic Challenging Times
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : This thesis thoroughly investigates the impact of economic disruptions from 2019 to 2023 on early-stage venture capital in Sweden. It focuses on shifts in investment decisions during financial disruptions, aiming to clarify how economic fluctuations influences investors' decision-making. LÄS MER
2. Domstolens roll och processens ram
Master-uppsats, Lunds universitet/FastighetsvetenskapSammanfattning : Detta arbete avser utreda vad mark- och miljödomstolen får göra, måste göra samt vad mark- och miljödomstolen gör i praktiken. Med vad domstolen får göra avses frivilliga initiativ domstolen tar i processen. Exempelvis att domstolen väljer att på olika sett styra processen eller inhämta bevisning. LÄS MER
3. Network Orientation and Segmentation Refinement Using Machine Learning
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. LÄS MER
4. 3D geospatial data requirements for simulating noise using the Nord2000 model: Case study of the impact of building façade types and roof configurations on simulated traffic noise levels
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : The European Union implements the Environmental Noise Directive (END), which offers a framework for evaluating and assessing environmental noise. All EU members are required to create strategic noise maps to inform the public about noise pollution and its effects. LÄS MER
5. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene
Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)Sammanfattning : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. LÄS MER