Search for dissertations about: "Thorsteinn Rögnvaldsson"

Showing result 1 - 5 of 13 swedish dissertations containing the words Thorsteinn Rögnvaldsson.

2. 1. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach

   Author : Ulf Johansson; Lars Niklasson; Tom Ziemke; Thorsteinn Rögnvaldsson; Linköpings universitet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Rule extraction; Ensembles; Data mining; Genetic programming; Artificial neural networks; Computer science; Datalogi; rule extraction; ensembles; data mining; genetic programming; artificial neural networks;

   Abstract : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. READ MORE

4. 2. Towards Reliable, Stable and Fast Learning for Smart Home Activity Recognition

   Author : Rebeen Ali Hamad; Thorsteinn Rögnvaldsson; Mohamed-Rafik Bouguelia; Eric Järpe; Jens Lundström; Katrin Jonsson; Högskolan i Halmstad; []
   Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Abstract : The current population age grows increasingly in industrialized societies and calls for more intelligent tools to monitor human activities.  The aims of these intelligent tools are often to support senior people in their homes, to keep track of their daily activities, and to early detect potential health problems to facilitate a long and independent life. READ MORE

5. 3. Methods to quantify and qualify truck driver performance

   Author : Iulian Carpatorea; Slawomir Nowaczyk; Thorsteinn Rögnvaldsson; Wahde Mattias; Högskolan i Halmstad; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; Driver performance; heavy-duty vehicle; fuel economy; fuel consumption; fuel prediction; truck driver;

   Abstract : Fuel consumption is a major economical component of vehicles, particularly for heavy-duty vehicles. It is dependent on many factors, such as driver and environment, and control over some factors is present, e.g. route, and we can try to optimize others, e. READ MORE

6. 4. Learning Representations for Machine Activity Recognition

   Author : Kunru Chen; Thorsteinn Rögnvaldsson; Reza Akhavian; Högskolan i Halmstad; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES;

   Abstract : Machine activity recognition (MAR) is an essential and effective approach for equipment productivity monitoring. Developing MAR methods for forklift trucks, a vital piece of the industry, can benefit productivity efficiency, maintenance service, product design, and potential savings. READ MORE

7. 5. A Self-Organized Fault Detection Method for Vehicle Fleets

   Author : Yuantao Fan; Thorsteinn Rögnvaldsson; Sławomir Nowaczyk; Erik Frisk; Högskolan i Halmstad; []
   Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER;

   Abstract : A fleet of commercial heavy-duty vehicles is a very interesting application arena for fault detection and predictive maintenance. With a highly digitized electronic system and hundreds of sensors mounted on-board a modern bus, a huge amount of data is generated from daily operations. READ MORE