Search for dissertations about: "data-driven decision-making"

Showing result 1 - 5 of 51 swedish dissertations containing the words data-driven decision-making.

2. 1. Smart Cities and Big Data Analytics : A Data-Driven Decision-Making Perspective

   Author : Ahmed M. Shahat Osman; Ahmed Elragal; Anna Ståhlbröst; Eli Hustad; Luleå tekniska universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; smart cities; big data analytics; data-driven decision-making; Informationssystem; Information Systems;

   Abstract : The phenomenon of digitalization has led to the emergence of a new term—big data. Big data refers to the vast volumes of digital data characterized by its volume, velocity, variety, veracity, and value. READ MORE

4. 2. Environmentally Friendly Construction Processes Under Uncertainty : Assessment, Optimisation and Robust Decision-Making

   Author : Kailun Feng; Weizhuo Lu; Thomas Olofsson; Geoffrey Qiping Shen; Luleå tekniska universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Construction processes; environmental impacts; uncertain factors; decision-making; Byggproduktion och teknik; Construction Management and Building Technology;

   Abstract : The construction processes of building and civil infrastructure are broadly recognised as large contributors to the environmental degradation, which cause environmental impacts directly and indirectly by massive energy use, intensive greenhouse emissions, and significant resources consumption. The report from Royal Swedish Academy of Engineering Sciences (IVA) and the Swedish Construction Federation (Byggföretagen) shows that the total carbon dioxide equivalents emitted per year from construction processes are the same size as emissions from all of the cars in Sweden, and more than that is generated by all lorries and busses. READ MORE

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

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

   Abstract : 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. READ MORE

6. 4. Systematic Data-Driven Continual Self-Learning

   Author : Diarmuid Corcoran; Magnus Boman; Steven Latré; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-Driven Methods; Self-Learning Systems; Reinforcement Learning Algorithms; Implementation Architectures; Datadrivna metoder; Självlärande system; Reinforcement Learning-algoritmer; Implementeringsarkitekturer;

   Abstract : There is a lot of unexploited potential in using data-driven and self-learning methods to dramatically improve automatic decision-making and control in complex industrial systems. So far, and on a relatively small scale, these methods have demonstrated some potential to achieve performance gains for the automated tuning of complex distributed systems. READ MORE

7. 5. Opinion Dynamic Models of Decision-Making in Traffic

   Author : Carl-Johan Heiker; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; decision-making; Autonomous vehicles; continuous-time Markov chains; human road users; model predictive control; opinion dynamics;

   Abstract : Autonomous vehicles (AVs) have the potential to improve both the efficiency and the safety of road traffic. Vehicles that can plan their routes, anticipate accidents and communicate open the door to transportation that is nearly free of human error. READ MORE