Search for dissertations about: "Saguna Saguna"

Found 3 swedish dissertations containing the words Saguna Saguna.

  2. 1. Complex activity recognition and context validation within social interaction tools

    Author : Saguna Saguna; Christian Becker; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; context awareness; activity recognition; social networks; situation awareness; HCI; complex activity recognition; sensors; Prototype evaluation; SACAAR; OAT4CDAT; online activity toolkit; context driven activity theory; wearable computing; smart homes; presence; machine learning; Markov chains; Pervasive Mobile Computing; Distribuerade datorsystem;

    Abstract : Human activity recognition using sensing technology is crucial in achieving pervasive and ubiquitous computing paradigms. It can be applied in many domains such as health-care, aged-care, personal-informatics, industry, sports and military. READ MORE

  4. 2. Applied Machine Learning in District Heating System

    Author : Samuel O. Idowu; Christer Åhlund; Saguna Saguna; Olov Schelén; Fredrik Sandin; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Pervasive Mobile Computing; Distribuerade datorsystem;

    Abstract : In an increasingly applied domain of pervasive computing, sensing devices are being deployed progressively for data acquisition from various systems through the use of technologies such as wireless sensor networks. Data obtained from such systems are used analytically to advance or improve system performance or efficiency. READ MORE

  5. 3. Human Behaviour Recognition of Elderly in Single-Resident IoT Enabled Smart Homes: An Applied Machine Learning Approach

    Author : Zahraa Shahid; Saguna Saguna; Christer Åhlund; Flora Salim; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Pervasive Mobile Computing; Distribuerade datorsystem;

    Abstract : In Human Activity Recognition (HAR) systems, activities of daily living/human behaviour are recognized using sensor data by applying data mining techniques and machine learning algorithms to the collected data. This allows for customised and automated services to support humans’ daily living. READ MORE