Sökning: "Mark Dougherty"

Visar resultat 1 - 5 av 14 avhandlingar innehållade orden Mark Dougherty.

1. 1. Sensor-based knowledge- and data-driven methods : A case of Parkinson’s disease motor symptoms quantification

   Författare :Somayeh Aghanavesi; Mark Dougherty; Mobyen Uddin Ahmed; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Parkinson’s disease; motion sensors; motor symptoms; smartphone; microdata; multivariate analysis; data-driven; knowledge-driven; support vector machine stepwise regression; predictive models; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Sammanfattning : The overall aim of this thesis was to develop and evaluate new knowledge- and data-driven methods for supporting treatment and providing information for better assessment of Parkinson’s disease (PD).PD is complex and progressive. There is a large amount of inter- and intravariability in motor symptoms of patients with PD (PwPD). LÄS MER

3. 2. Smartphone-based Parkinson’s disease symptom assessment

   Författare :Somayeh Aghanavesi; Mark Dougherty; Jerker Westin; Hasan Fleyeh; Mevludin Memedi; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Parkinson’s disease; symptom assessment; spiral; tapping; smartphone; temporal irregularity; timing variability; approximate entropy; ; FLOAT - Flexibel levodopa-optimerings och individanpassningsteknik; FLOAT - Flexible Levodopa Optimizing Assistive Technology;

   Sammanfattning : This thesis consists of four research papers presenting a microdata analysis approach to assess and evaluate the Parkinson’s disease (PD) motor symptoms using smartphone-based systems. PD is a progressive neurological disorder that is characterized by motor symptoms. LÄS MER

4. 3. Deep Evidential Doctor

   Författare :Awais Ashfaq; Sławomir Nowaczyk; Mark Dougherty; Cristina Soguero Ruiz; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Recent years have witnessed an unparalleled surge in deep neural networks (DNNs) research, surpassing traditional machine learning (ML) and statistical methods on benchmark datasets in computer vision, audio processing and natural language processing (NLP). Much of this success can be attributed to the availability of numerous open-source datasets, advanced computational resources and algorithms. LÄS MER

5. 4. On Emerging Mobile Learning Environments

   Författare :Edgar Napoleon Asiimwe; Åke Grönlund; Mathias Hatakka; Mark Dougherty; Mohamed Ally; Örebro universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Mobile learning; LCMS; Mobile phones; FRAME; Emerging Mobile Learning Environments; IS artefact; Action research; CAR; LDCs;

   Sammanfattning : This thesis investigates issues pertaining to the implementation of mobile learning and particularly the use of learning content management systems and mobile devices in university education. The thesis is positioned at the intersection of the research areas of information systems and education. LÄS MER

7. 5. Nonresponse issues when analysing business survey data

   Författare :Åsa Grek; Mark Dougherty; Martin Johanson; Fredrik Hartwig; Lars Hultkrantz; Högskolan Dalarna; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Sammanfattning : Data issues due to nonresponse or missing data arises often in company surveys or in firm data. Missing data and nonresponse causes bias. Another problem that causes bias is omitted variables. Accordingly, it will lead to wrong conclusions. LÄS MER