Search for dissertations about: "Monitoring data"

Showing result 1 - 5 of 1322 swedish dissertations containing the words Monitoring data.

  2. 1. Mobile systems for monitoring Parkinson's disease

    Author : Mevludin Memedi; Mark Dougherty; Silvia Coradeschi; Peter Funk; Jerker Westin; Martin Gellerstedt; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automatic assessments; data visualization; data-driven modelling; home assessments; information technology; mobile computing; objective measures; Parkinson’s disease; quantitative assessments; remote monitoring; spirography; symptom severity; tapping tests; telemedicine; telemetry; time series analysis; web technology; Information technology; Informationsteknologi; Datavetenskap; Computer Science; PAULINA - Uppföljning av Parkinsonsymptom från hemmet;

    Abstract : A challenge for the clinical management of Parkinson's disease (PD) is the large within- and between-patient variability in symptom profiles as well as the emergence of motor complications which represent a significant source of disability in patients. This thesis deals with the development and evaluation of methods and systems for supporting the management of PD by using repeated measures, consisting of subjective assessments of symptoms and objective assessments of motor function through fine motor tests (spirography and tapping), collected by means of a telemetry touch screen device. READ MORE

  4. 2. Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution

    Author : Mike Gerdes; Diego Galar; Uday Kumar; Dieter Scholz; Piotr Bilski; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Condition Monitoring; Remaining Useful Life Prediction; Decision Tree; Genetic Algorithm; Fuzzy Decision Tree Evaluation; System Monitoring; Aircraft Health Monitoring; Feature Extraction; Feature Selection; Data Driven; Health Prognostic; Knowledge Based System; Supervised Learning; Data-Driven Predictive Health Monitoring; Health Indicators; Machine Learning; Big Data; Pattern Recognition; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Reducing unscheduled maintenance is important for aircraft operators. There are significant costs if flights must be delayed or cancelled, for example, if spares are not available and have to be shipped across the world. READ MORE

  5. 3. Reliable Information Exchange in IIoT : Investigation into the Role of Data and Data-Driven Modelling

    Author : Mehrzad Lavassani; Tingting Zhang; Mikael Gidlund; Ulf Jennehag; Christer Åhlund; Mittuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Industrial Internet of Things; Industrial Automation; Data Analytics; Data-Driven Modelling; Distributed Modelling; Industrial Wireless Sensor Networks; Wireless Sensor Networks; Industrial Monitoring Framework; Reliability; Real-Time;

    Abstract : The concept of Industrial Internet of Things (IIoT) is the tangible building block for the realisation of the fourth industrial revolution. It should improve productivity, efficiency and reliability of industrial automation systems, leading to revenue growth in industrial scenarios. READ MORE

  6. 4. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users

    Author : Dong Wang; Mats Tysklind; Johan Trygg; Lili Jiang; Venkat Venkatasubramanian; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wastewater treatment; Process analytics; Big data; Machine learning; Interpretable AI; Power plants; Failure analysis; Data mining; Buildings; Energy consumption; Anomaly detection;

    Abstract : Human society has taken many measures to address environmental issues. For example, deploying wastewater treatment plants (WWTPs) to alleviate water pollution and the shortage of usable water; using waste-to-energy (WtE) plants to recover energy from the waste and reduce its environmental impact. READ MORE

  7. 5. 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