In recent years, the quantity of time series data generated in a wide variety of domains have grown consistently. Analyzing time-series datasets at a massive scale is one of the biggest challenges that data scientists ...

This is an application which used an algorithm for detecting the behaviour in the home. The process is based on using the motion sensors and the duration of time. By receiving the data from different places, the application ...

Presently, households and buildings use almost one-third of total energy consumption among all the power consumption sources. This trend is continuing to rise as more and more buildings install smart meter sensors and ...

Focus of this study is on development of a domain-specific ontology and a knowledge base of facts for a Question Answering system. This QA system accepts natural language questions about statistics of Formula One and ...

Rituka Jaiswal og Reggie Davidrajuh utviklet en graf algoritme for å finne Steiner tre i kodespråket MATLAB . Algoritmen calles Jaiswal & Davidrajuh’s algorithm. Dette prosjektet dreier seg om virkeliggjøring, imple- mentering ...

Mud gas data are continuous measurements of the different compounds of the gas released from the formation while drilling. While these data are cheap and extensive, as they are always recorded for safety reasons, they are ...

Business organizations are always in need of fast and intelligent decision support system. Today’s Business environment is dynamic so data every minute are valuable. Real time Business intelligence (RTBI) is intelligence ...

Virtual Reality (VR) in education and medicine has been a widely researched area. Increase in motivation and learning gain is demonstrated to be directly related to introduction of VR applications. However, the necessity ...

Tables are common and important in scientific publications. They serve as the main elements for presenting findings in a structured way. This project concerns the extraction of tables from scientific papers that have been ...

This thesis presents an introductory exploration of the neuroimaging field, focusing on volume-based analysis using functional connectivity. By studying resting state data using the Power et al. atlas, the research aims ...