Search for dissertations about: "data scarcity"

Showing result 1 - 5 of 97 swedish dissertations containing the words data scarcity.

1. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques

Author : Diana Fuentes-Andino; Sven Halldin; Chong-Yu Xu; Keith Beven; Giuliano Di Baldassarre; Wouter Buytaert; Uppsala universitet; []
Keywords : NATURVETENSKAP; NATURAL SCIENCES; Central America; floods; data scarcity; data quality; uncertainty analysis; regionalisation; flood frequency analysis; GLUE; hydraulic modelling; rainfall-runoff modeling; TOPMODEL; LISFLOOD-FP; GRADEX; index-flood; Muskingum-Cunge-Todini flow routing; Mellanamerika; högflöde; datakvalitet; osäkerhetsanalys; regionalisering; frekvensanalys av högflöden; GLUE; hydraulisk modellering; nederbörds-avrinningsmodeller; TOPMODEL; LISFLOOD-FP; GRADEX; indexflöde; Muskingum-Cunge-Todini flödessvarstid; Central América; inundaciones; escasez de datos; calidad de los datos; análisis de incertidumbre; regionalización; análisis de frequencia de inundación; GLUE; modelación hidraulica; modelo de lluvia-escorrentía; TOPMODEL; LISFLOOD-FP; GRADEX; índice de inundación; Muskingum-Cunge-Todini rutina de propagación de flujo;

Abstract : Flooding is of great concern world-wide, causing damage to infrastructure, property and loss of life. Low-income countries, in particular, can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. READ MORE
2. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection

Author : Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
Keywords : NATURVETENSKAP; NATURAL SCIENCES; Internet of Medical Things; Patient-Centric Healthcare; Clinical Decision Support System; Predictive Modeling in Healthcare; Health Informatics; Healthcare analytics; COVID-19; Sepsis; COVID-19 Detection; Early Sepsis Detection; Lung Segmentation Detection; Medical Data Annotation Scarcity; Medical Data Sparsity; Medical Data Heterogeneity; Medical Data Security Privacy; Practical Usability Enhancement; Low-End Device Adaptability; Medical Significance; Interpretability; Visualization; LIME; SHAP; Grad-CAM; LRP; Electronic Health Records; Thermal Image; Tabular Medical Data; Chest X-ray; Machine Learning; Deep Learning; Federated Learning; Semi-Supervised Machine Learning; Multi-Task Learning; Transfer Learning; Multi-Modality; Natural Language Processing; ClinicalBERT; GAN; data- och systemvetenskap; Computer and Systems Sciences;

Abstract : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. READ MORE
3. Disinformative and Uncertain Data in Global Hydrology : Challenges for Modelling and Regionalisation

Author : Anna Kauffeldt; Sven Halldin; Allan Rodhe; Chong-Yu Xu; András Bárdossy; Uppsala universitet; []
Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data uncertainty; Discharge; Disinformative data; Evaporation; Flow-duration curve; Global hydrology; Neural networks; Numerical weather prediction; Precipitation; Quality control; Regionalisation; Ungauged basins; Water balance; Avdunstning; avrinningsområden utan vattenföringsdata; dataosäkerhet; desinformativa data; global hydrologi; kvalitetskontroll; nederbörd; neurala nät; numerisk vädermodell; regionalisering; varaktighetskurva; vattenbalans; vattenföring; Hydrology; Hydrologi;

Abstract : Water is essential for human well-being and healthy ecosystems, but population growth and changes in climate and land-use are putting increased stress on water resources in many regions. To ensure water security, knowledge about the spatiotemporal distribution of these resources is of great importance. READ MORE
4. Flood Prediction in data-scarce basins : Maximising the value of limited hydro-meteorological data

Author : José Eduardo Reynolds Puga; Sven Halldin; Chong-Yu Xu; Jan Seibert; Thomas J. Grabs; Vazken Andréassian; Uppsala universitet; []
Keywords : NATURVETENSKAP; NATURAL SCIENCES; Floods; data scarcity; value of information; rainfall-runoff modelling; regionalisation; rainfall-forecasts; event-based calibration; climatological day; discharge day; temporal resolution; modelling time-step.; Databrist; flödestoppsbaserad kalibrering; högflöde; informationsvärde; klimatologiskt dygn; nederbörds-avrinningsmodell; modelltidssteg; regionalisering; regnprognos; tids-upplösning; vattenföringsdygn; översvämning.; Inundaciones; falta de datos; valor de información; modelos lluvia escorrentía; regionalización; pronósticos de lluvia; definición del día; resolución temporal; paso de tiempo.;

Abstract : Floods pose a threat to society that can cause large socio-economic damages and loss of life in many parts of the world. Flood-forecasting models are required to provide simulations at temporal resolutions higher than a day in basins with concentration times smaller than 24 h. READ MORE
5. Managing cloud resource scarcity

Author : Lars Larsson; Erik Elmroth; Cristian Klein; Philipp Leitner; Umeå universitet; []
Keywords : NATURVETENSKAP; NATURAL SCIENCES; cloud computing; edge computing; kubernetes; federation; scheduling; quality elasticity;

Abstract : According to the Infrastructure-as-a-Service conceptualization of cloud computing, Infrastructure Providers offer utility-like pay-as-you-go access to computing resources (e.g., data processing, networks, and storage) to Service Providers, who use those resources to host applications for the benefit of end users. READ MORE

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