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Visar resultat 21 - 25 av 29 avhandlingar som matchar ovanstående sökkriterier.

1. 21. Autonomous Localization in Unknown Environments

   Författare :Jonas Callmer; Fredrik Gustafsson; Paul Havinga; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Localization; indoor positioning; heading estimation; magnetometers;

   Sammanfattning : Over the last 20 years, navigation has almost become synonymous with satellite positioning, e.g. the Global Positioning System (GPS). On land, sea or in the air, on the road or in a city, knowing ones position is a question of getting a clear line of sight to enough satellites. LÄS MER

3. 22. Towards Reliable, Stable and Fast Learning for Smart Home Activity Recognition

   Författare :Rebeen Ali Hamad; Thorsteinn Rögnvaldsson; Mohamed-Rafik Bouguelia; Eric Järpe; Jens Lundström; Katrin Jonsson; Högskolan i Halmstad; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : The current population age grows increasingly in industrialized societies and calls for more intelligent tools to monitor human activities.  The aims of these intelligent tools are often to support senior people in their homes, to keep track of their daily activities, and to early detect potential health problems to facilitate a long and independent life. LÄS MER

4. 23. Toward Secure and Reliable Networked Control Systems

   Författare :André Teixeira; Henrik Sandberg; Karl H. Johansson; Kameshwar Poolla; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : Security and reliability are essential properties in Networked Control Systems (NCS), which are increasingly relevant in several important applications such as he process industry and electric power networks. The trend towards using non-proprietary and pervasive communication and information technology (IT) systems, such as the Internet and wireless communications, may result in NCS being vulnerable to cyber attacks. LÄS MER

5. 24. Resource-Aware and Personalized Federated Learning via Clustering Analysis

   Författare :Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio; György Dán; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Federated Learning; Clustering Analysis; Eccentricity Analysis; Non- IID Data; Model Personalization; Computer Science; Datavetenskap;

   Sammanfattning : Today’s advancement in Artificial Intelligence (AI) enables training Machine Learning (ML) models on the daily-produced data by connected edge devices. To make the most of the data stored on the device, conventional ML approaches require gathering all individual data sets and transferring them to a central location to train a common model. LÄS MER

7. 25. Multi-Modal Deep Learning with Sentinel-1 and Sentinel-2 Data for Urban Mapping and Change Detection

   Författare :Sebastian Hafner; Yifang Ban; Paolo Gamba; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Geoinformatics; Geoinformatik;

   Sammanfattning : Driven by the rapid growth in population, urbanization is progressing at an unprecedented rate in many places around the world. Earth observation has become an invaluable tool to monitor urbanization on a global scale by either mapping the extent of cities or detecting newly constructed urban areas within and around cities. LÄS MER