Sökning: "daily build"

Visar resultat 1 - 5 av 51 avhandlingar innehållade orden daily build.

  1. 1. Agent-based Transport Models as a Tool for Evaluating Mobility

    Författare :Çaglar Tozluoglu; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Daily activity pattern; Activity-based modeling; Agent-based modeling; Activity generation;

    Sammanfattning : The transportation system is undergoing fundamental transformations through emerging technologies. Some of these innovations have the potential to contribute to the sustainable transformation of the transportation system, such as electric vehicles (EVs) and shared autonomous electric vehicles (SEAVs). LÄS MER

  2. 2. Decisional-Emotional Support System for a Synthetic Agent : Influence of Emotions in Decision-Making Toward the Participation of Automata in Society

    Författare :Javier Francisco Guerrero Razuri; Aron Larsson; David Sundgren; Rahim Rahmani; Alessandro Villa; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Affective Computing; Machine Learning; Adversarial Risk Analysis; Broaden and Build Theory; Facial Expression Recognition; Speech Emotion Recognition; Detection of Emotional Information; Emotional self-regulation; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Emotion influences our actions, and this means that emotion has subjective decision value. Emotions, properly interpreted and understood, of those affected by decisions provide feedback to actions and, as such, serve as a basis for decisions. LÄS MER

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

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

    Sammanfattning : 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. LÄS MER

  4. 4. Gender and Social Practices in Migration : A case study of Thai women in rural Sweden

    Författare :Natasha Alexandra Webster; Gunnel Forsberg; Eva Andersson; Halldis Valestrand; Stockholms universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Gender; social practices; migration; rural; translocalism; micro-geographies; mobilities; spatial relations; case study; narrative interviews; life course; feminist epistemology; Thailand; Sweden; Geography with Emphasis on Human Geography; geografi med kulturgeografisk inriktning;

    Sammanfattning : Set within discussions of gender, migration and social practices, this thesis explores the ways in which Thai women migrants to Sweden build connections between rural areas through their daily activities. Arriving in Sweden primarily through marriage ties, Thai women migrants are more likely to live in Swedish rural areas than in urban areas. LÄS MER

  5. 5. Complex activity recognition and context validation within social interaction tools

    Författare :Saguna Saguna; Christian Becker; Luleå tekniska universitet; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER