Sökning: "Collaborative Filter"
Visar resultat 1 - 5 av 19 uppsatser innehållade orden Collaborative Filter.
1. Collaborative Mapping with Drone Swarms Utilizing Relative Distance Measurements
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : The field of use for unmanned aerial vehicles, UAVs, has completely exploded in the last decade. Today they are used for surveillance missions and inspecting places that are difficult for people to access. To increase the efficiency and robustness in the execution of these types of missions, swarms of cooperating drones can be used. LÄS MER
2. Andra lyssnar även på... : En kvalitativ studie om användarupplevelsen av Spotifys rekommendationssystem.
Kandidat-uppsats, Umeå universitet/Institutionen för informatikSammanfattning : The overload of content in digital services demands a way to filter the content for each individual user. The solution to this problem has come to be recommendation systems, which creates recommendations after the behavior patterns and preferences of each user. LÄS MER
3. Vibration Avoidance Based on Model-Based Control Incorporating Input Shaping
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : VIBRATION AVOIDANCE, a technique to proactively remove unwanted or excessive vibrations in multi-joint industrial robots, has shown to be desired in various applications. A trade-off between vibration avoidance performance and path deviation has been thekey criteria for assessing the effectiveness and quality of an approach. LÄS MER
4. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. LÄS MER
5. A graph database implementation of an event recommender system
M1-uppsats,Sammanfattning : The internet is larger than ever and so is the amount of information on the internet.The average user on the internet has next to endless possibilities and choices whichcan cause information overload. Companies have therefore developed systems toguide their users to find the right product or object in the form of recommendersystems. LÄS MER