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This thesis was carried out at CellaVision, a company within digital blood analysis, with the aim of investigating the possibility of autovalidation of blood cells using neural networks. The thesis started with preparing a dataset for training and validation, including cell features and binary labels indicating if the cell is easy or difficult to classify. This dataset consisted of 122 227 cell im
Robust structures are necessary in order to avoid a progressive collapse if a local failure occurs, for instance, failure of a column. Robustness is achieved in structures by designing them for so-called accidental actions, such as an explosion or a vehicle impact. These actions are often unexpected, sudden and local as they act on a limited part of the structure. It should be emphasised that prog
Seagrass systems are integral components of both local and global carbon cycles and contribute to substantial modifications of seawater biogeochemistry which has ecological ramifications. However, the influence of the roots and rhizomes of seagrasses on surrounding porewater biogeochemistry is not fully understood, and it remains to be determined what exact role this marine plant and the associate
The main concerns of food spoilage in fruit juices are the off-flavours and off-odours caused by microorganisms. In order to ensure high quality products, these microorganisms must therefore be eliminated or below a certain limit. Trials using pear concentrate, a ready-to-drink pear drink and a carbonated pear drink, were performed in order to compare two detection methods for three different grou
Risk matrices are tables with rows representing consequences, and columns representing frequencies. The risk matrix is considered a simple and convenient tool for visualizing risk. However, it has faced critique from the scientific community. Though risk matrices are extensively applied in practice for visualizing results from coarse risk analyses, there is limited research regarding guidance on i
Flyktingar löper signifikant högre risk för att utveckla psykisk ohälsa, däribland posttraumatiskt stressyndrom (PTSD). Det finns en stor evidensbas som visar att traumafokuserade psykologiska behandlingar för PTSD är effektiva. Majoriteten av denna forskning inkluderar dock inte flyktingar, vilket innebär att mindre är känt om responsen för behandling av PTSD hos flyktingar. Den aktuella översiktRefugees are at significantly increased risk of mental health difficulties, including Post-Traumatic Stress Disorder (PTSD). There is a large evidence base showing that trauma-focused psychological treatments for PTSD are effective. However, the majority of trials do not include refugees and less is known about response to PTSD treatments in refugees. The present scoping review explores the curren
A member of Association of Southeast Asian Nations (ASEAN), after breakdown of genocidal regime in 1979, Cambodia started to build its economy from scratch. Regarding the press freedom, Cambodia was graded 128th in 2016 in the World Press Freedom Index (WPFI) by the Reporters Without Borders. The rank has deteriorated after the suppression on non-governmental organizations, opposition party and in
In 2017 Shenzhen scaled up its policy ambition to be a global sustainable city. However, the innovation- driven and talent-focused urban agenda is undermining the sustainable development of the migrant population. This research used the framework of urban sustainability and social quality theory to determine the characteristics of migrant descendants in urbanisation and their relation to sustainab
A part of a semi-supervised learning pipeline is built to improve the classification of humans and animals in a home security detector. An AI teacher model that automatically labels data, which is then in turn used to improve a light-weight AI student model is created. The AI teacher is trained on existing labelled household camera image data. Approaches with leveraged convolutional neural nets an
This study presents a mesoscopic model that predicts pedestrian evacuation in large gatherings with probabilistic methods. The model is based on a coarse network representation of buildings, where occupants are treated at a different scale according to their location. A microscopic approach is used to represent people in the initial enclosure: here individual characteristics and behaviours are att
The widespread use of plastic mulch in agriculture is rapidly increasing due to intensified farming practices. While plastic mulch can enhance crop yields significantly, it also introduces challenges related to waste management and environmental degradation. This study focuses on the application of Sentinel-2A imagery and the Maximum Likelihood Classifier (MLC) to classify plastic foils used in ea
The aim of this study was to deepen the understanding of how community-based water management approaches facilitate sustainable and collective action (SCA) in the context of increasing water insecurity in Costa Rica. Applying a qualitative approach, based on fieldwork in Guanacaste, Costa Rica, including semi-structured interviews and a digital community survey, the study uncovers facilitating fac
Sustainable development requires collaboration between governments, businesses, and citizens. However, economic models, sustainability practices, and global policies are currently not fit-for-purpose to maintain global temperatures to 1.5 degrees centigrade within the timescales required to maintain a safe space for humanity to thrive. This study maps the alignment of business values and practices
The aim of this study was to deepen the understanding of how community-based water management approaches facilitate sustainable and collective action (SCA) in the context of increasing water insecurity in Costa Rica. Applying a qualitative approach, based on fieldwork in Guanacaste, Costa Rica, including semi-structured interviews and a digital community survey, the study uncovers facilitating fac
This master thesis aims to investigate the positioning accuracy improvements of device localization by the implementation of AI/ML functionalities. In this project, we use the fifth-generation(5G) New Radio (NR) system and focus on indoor factories. This setup held under study is a relevant scenario for the Industrial Internet of Things within the industrial sector (IIoT), as the specific characte
Food security and environmental sustainability are increasingly threatened by the current degradative practices of the agri-food industry. To mitigate the adverse environmental impacts of the agri-food supply chain, the circular food economy has been proposed as a strategy to enhance biodiversity, improve access to nutritious foods and reduce the industry’s greenhouse gas emissions. However, progr
This thesis aims to explore the issue of trademark squatting and its solutions in the EU and China. Trademark squatting is a form of trademark infringement that occurs when individuals or entities register trademarks in territories where they do not have legitimate business operations, taking advantage of the "first-to-file" systems. If trademark squatting is permitted to persist, it has
Prefetching is a well known concept for CPUs but for GPUs it is fairly unexplored. The memory management of a GPU plays a crucial role in its performance, and cache prefetching has the potential to lower the overall latency. This thesis compares different types of prefetching methods for GPUs and remaking some CPU prefetchers to fit the GPU architecture. All these prefetchers were then put inside
