Search for dissertations about: "mobile machine"

Showing result 1 - 5 of 93 swedish dissertations containing the words mobile machine.

  1. 1. Mobility is the Message : Experiments with Mobile Media Sharing

    Author : Mattias Rost; Barry Brown; Kristina Höök; David Ayman Shamma; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; mobile; media; sharing; design; studies; mobility; trials; foursquare; music sharing; co-present interaction; goffman; ubicomp; hci; mobile hci; Man-Machine-Interaction MMI ; människa-maskin-interaktion MMI ;

    Abstract : This thesis explores new mobile media sharing applications by building, deploying, and studying their use. While we share media in many different ways both on the web and on mobile phones, there are few ways of sharing media with people physically near us. READ MORE

  2. 2. Approaches to Interactive Online Machine Learning

    Author : Agnes Tegen; Paul Davidsson; Jan A. Persson; Henrik Boström; Malmö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Interactive Machine Learning; Online Learning; Active Learning; Machine Teaching;

    Abstract : With the Internet of Things paradigm, the data generated by the rapidly increasing number of connected devices lead to new possibilities, such as using machine learning for activity recognition in smart environments. However, it also introduces several challenges. READ MORE

  3. 3. Interactive Online Machine Learning

    Author : Agnes Tegen; Paul Davidsson; Jan A. Persson; Georg Krempl; Malmö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Interactive Machine Learning; Active Learning; Machine Teaching; Online Learning;

    Abstract : With the Internet of Things paradigm, the data generated by the rapidly increasing number of connected devices lead to new possibilities, such as using machine learning for activity recognition in smart environments. However, it also introduces several challenges. The sensors of different devices might be mobile and of different types, i.e. READ MORE

  4. 4. Voice for Decision Support in Healthcare Applied to Chronic Obstructive Pulmonary Disease Classification : A Machine Learning Approach

    Author : Alper Idrisoglu; Johan Sanmartin Berglund; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Automated decision-support; Classification; Machine Learning; Voice-affecting disorders; Voice dataset; Voice Features; Chronic Obstructive pulmonary disease COPD ; Tillämpad hälsoteknik; Applied Health Technology;

    Abstract : Background: Advancements in machine learning (ML) techniques and voice technology offer the potential to harness voice as a new tool for developing decision-support tools in healthcare for the benefit of both healthcare providers and patients. Motivated by technological breakthroughs and the increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, numerous studies aim to investigate the diagnostic potential of ML algorithms in the context of voice-affecting disorders. READ MORE

  5. 5. Machine learning-based diagnostics and observability in mobile networks

    Author : Tobias Sundqvist; Erik Elmroth; Monowar H. Bhuyan; Rolf Stadler; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Anomaly detection; Root cause analysis; Observability; Machine learning; Radio Access Network; 5G; Computer Science; datalogi;

    Abstract : To meet the high-performance and reliability demands of 5G, the Radio Access Network (RAN) is moving to a cloud-native architecture. The new microservice architecture promises increased operational efficiency and a shorter time-to-market, but it also comes with a price. READ MORE