Sökning: "mobile adaptation"
Visar resultat 1 - 5 av 76 uppsatser innehållade orden mobile adaptation.
1. Interrupting prolonged sitting behavior with gamification: Mobile adaptation of the break reminder desktop app Liopep
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : The present work aims at guiding the design transition of the break reminder desktop application Liopep to a mobile platform. The goal is to improve and adapt the gamified intervention to address sedentary behavior at an organizational level. LÄS MER
2. Utbytesstudenters digitala PIM-strategier : En kvalitativ studie bland data- och systemvetare vid Uppsala universitet
Master-uppsats, Uppsala universitet/Institutionen för ABMSammanfattning : Introduction. The aim of this master thesis is to examine how students at Uppsala university manage, organize, and preserve their study-related information in a digital environment. LÄS MER
3. Sink or Swim: Sea Level Rise Adaptation in Venice, Italy : A case of citizen non-participation
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : Due to global warming, sea levels will irreversibly continue to rise around the world throughout this century. Therefore, coastal urban communities will need to adapt to new environmental challenges, such as more frequent and intense flood events. LÄS MER
4. Enhancing human-robot interaction using mixed reality
Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. LÄS MER
5. Evaluation of deep learning methods for industrial automation
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : The rise and adaptation of the transformer architecture from natural language processing to visual tasks have proven a useful and powerful tool. Subsequent architectures such as visual transformers (ViT) and shifting window (SWIN) transformers have proven to be comparable and oftentimes exceed convolutional neural networks (CNNs) in terms of accuracy. LÄS MER