Sökning: "large-scale network"
Visar resultat 11 - 15 av 218 uppsatser innehållade orden large-scale network.
11. Fault-Tolerant Over-the-Air Federated Learning with Clustered Aggregation : Using a hierarchical architecture with hybrid digital and analog communication, to deal with byzantine users in Federated Learning over wireless networks.
Master-uppsats, Linköpings universitet/KommunikationssystemSammanfattning : Rapid advancements in modern AI applications have placed unprecedented demands on large-scale connectivity and data aggregation. The vision of Internet-of-Things (IoT) is supported by a massive amount of distributed sensors and wireless devices that generate useful data for these applications. LÄS MER
12. Large-scale transfer of lesion segmentations from PET to CT
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The introduction of AI technology has sparked a revolutionary lesion segmentation solution to address challenges in the medical field. After extensive research, the competencies of this technology have been verified. LÄS MER
13. Situationellt brottspreventivt arbete i Karlslund : En fallstudie om samspelet mellan fysisk miljö och brottslighet
Kandidat-uppsats, Malmö universitet/Institutionen för Urbana Studier (US)Sammanfattning : Studien ämnar att undersöka sambandet mellan den fysiska miljön och kriminalitet. I uppsatsen undersöks stadsdelen Karlslund i Landskrona som år 2017 blev utnämnt som ett särskilt utsatt område av Polisen. LÄS MER
14. Decentralized Learning over Wireless Networks with Imperfect and Constrained Communication : To broadcast, or not to broadcast, that is the question!
Master-uppsats, Linköpings universitet/KommunikationssystemSammanfattning : The ever-expanding volume of data generated by network devices such as smartphones, personal computers, and sensors has significantly contributed to the remarkable advancements in artificial intelligence (AI) and machine learning (ML) algorithms. However, effectively processing and learning from this extensive data usually requires substantial computational capabilities centralized in a server. LÄS MER
15. Landslide Susceptibility Analysis Using Open Geo-spatial Data and Frequency Ratio Technique
Master-uppsats, KTH/GeoinformatikSammanfattning : Landslide susceptibility maps are useful for spatial decision-making to minimize the lossof lives and properties. There are many studies related to the development of landslidesusceptibility maps using various methods such as Analytic Hierarchy Process, Weight ofEvidence and Logistic Regression. LÄS MER