Essays about: "skräp"

Showing result 6 - 10 of 31 essays containing the word skräp.

1. 6. Det Prydliga- vs. det Naturlika förvaltningsidealet : hur två typer av förvaltningsideal kom till och deras respektive främjande av stödjande ekosystemtjänster, med förnalagret som infallsvinkel

   University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)

   Author : Vigg Rufus Crawford; [2022]
   Keywords : prydlig; naturlik; förvaltningsideal; ekosystemtjänster; stödjande ekosystemtjänster; förna; trädgårdshistoria;

   Abstract : Det Prydliga förvaltningsidealets rötter har spårats till slutet av 1800-talet och industrialismen framfart, där statsförvaltare kom att börja prioritera upprätthållandet av mer prydliga och välvårdade grönområden (Nolin 1999; Byggnadsstadga 1874). Förnalagret kom under denna tid (och en tid framöver) att anses som skräp, vilket medförde att förnan nästan helt eliminerades från städers grönområden (Litsmark 2014; Byggnadsstadga 1874). READ MORE

3. 7. Object detection for autonomous trash and litter collection

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Simon Edström; [2022]
   Keywords : Object detection; Trash detection; Machine learning; Pipeline; Artifical neural networks; Deeplearning; Dataset; Preprocessing; Augmentation; Psuedolabel; Tiling; Objektdetektering; Skräpigenkänning; Maskininlärning; Pipeline; Artificiella neurala nätverk; Djupinlärning; Dataset; Förprocessering; Augmentation; Psuedomarkering; Kakling;

   Abstract : Trashandlitter discarded on the street is a large environmental issue in Sweden and across the globe. In Swedish cities alone it is estimated that 1.8 billion articles of trash are thrown to the street each year, constituting around 3 kilotons of waste. One avenue to combat this societal and environmental problem is to use robotics and AI. READ MORE

4. 8. A virtual pet game to raise carbon literacy in China

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Chenhao Li; [2022]
   Keywords : Carbon literacy; Carbon emissions; Mobile game design; datauppsättningar; neurala nätverk; blickdetektering; texttaggning;

   Abstract : After the Paris Agreement, the people of the world have a more clear understanding of the goals to combat climate change and reduce carbon emissions. Previous studies have shown that improving people's carbon literacy could play a role in achieving ambitious climate emission targets. READ MORE

5. 9. The ghost in the machine : Exploring the impact of noise in datasets used for graph-based action recognition

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ruben Rehn; Ricky Molén; [2021]
   Keywords : ;

   Abstract : Human action recognition is the task of classifying human movement and actions from video data. To benchmark different algorithms within the action recognition field, a common benchmark dataset, called NTU-RGB+D is used. However, this dataset is not without its issues as some samples contain data that is mistakenly captured as a human. READ MORE

6. 10. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

   University essay from Linköpings universitet/Datorseende

   Author : Rolf Sievert; [2021]
   Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

   Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE