Sökning: "data-driven models"

Visar resultat 1 - 5 av 166 avhandlingar innehållade orden data-driven models.

1. 1. Data-driven Innovation : An exploration of outcomes and processes within federated networks

   Författare :Aya Rizk; Anna Ståhlbröst; Ahmed Elragal; Birgitta Bergvall-Kåreborn; Oliver Müller; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data-driven innovation; analytics; innovation process; federated networks; data science; taxonomy; Information systems; Informationssystem;

   Sammanfattning : The emergence and pervasiveness of digital technologies are changing many aspects of our lives, including what and how we innovate. Industries and societies are competing to embrace this wave of digitalization by developing the right infrastructures and ecosystems for innovation. LÄS MER

3. 2. Data Driven Visual Recognition

   Författare :Omid Aghazadeh; Stefan Carlsson; Jiri Matas; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Visual Recognition; Data Driven; Supervised Learning; Mixture Models; Non-Parametric Models; Category Recognition; Novelty Detection;

   Sammanfattning : This thesis is mostly about supervised visual recognition problems. Based on a general definition of categories, the contents are divided into two parts: one which models categories and one which is not category based. We are interested in data driven solutions for both kinds of problems. LÄS MER

4. 3. Data-driven Train Delay Prediction

   Författare :Kah Yong Tiong; Trafik och väg; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Predictive models; Data-driven; Railways; Train Delays;

   Sammanfattning : In Sweden, extensive use and the inherent heterogeneity of train traffic have significantly increased the sensitivity of the train system so that the delay of one train can easily propagate to others. Repeated experiences with train delays can lead passengers to perceive that railway transportation is unreliable. LÄS MER

5. 4. 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

7. 5. Data-driven personalized healthcare : Towards personalized interventions via reinforcement learning for Mobile Health

   Författare :Alexander Galozy; Sławomir Nowaczyk; Mattias Ohlsson; Fredrik Johansson; Högskolan i Halmstad; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Information Driven Care; Electronic Health Records; Machine Learning; Reinforcement Learning;

   Sammanfattning : Medical and technological advancement in the last century has led to the unprecedented increase of the populace's quality of life and lifespan. As a result, an ever-increasing number of people live with chronic health conditions that require long-term treatment, resulting in increased healthcare costs and managerial burden to the healthcare provider. LÄS MER