Sökning: "Node networks"
Visar resultat 1 - 5 av 299 uppsatser innehållade orden Node networks.
1. Classifying femur fractures using federated learning
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. LÄS MER
2. Implicit Message Integrity Provision : In Heterogeneous Vehicular Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Vehicles on the road today are complex multi-node computer networks. Security has always been a critical issue in the automotive computing industry. It is becoming even more crucial with the advent of autonomous vehicles and driver assistant technology. There is potential for attackers to control vehicles maliciously. LÄS MER
3. Velocity Control of a Mobile Charger in a Wireless Rechargeable Sensor Network
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Wireless sensor networks (WSN) are one of the most rapidly evolving technical areas right now. They can be used in a lot of different applications, environmental monitoring and health applications being two examples. The sensors can be placed in hazardous and remote environments since there is no need for cabling or manual maintenance. LÄS MER
4. Modeling Epidemics On Different Networks : Insights into Testing Strategies
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Modeling epidemics is of great interest because it allows us to anticipate and investigate what countermeasures like testing are more effective in slowing down the spread of a disease. In traditional mathematical modeling techniques, a society is represented as a singular entity where everyone can interact with everyone. LÄS MER
5. Over-the-Air Federated Learning with Compressed Sensing
Master-uppsats, Linköpings universitet/KommunikationssystemSammanfattning : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). LÄS MER