Sökning: "Deployment"
Visar resultat 16 - 20 av 1203 uppsatser innehållade ordet Deployment.
16. Mikrotjänstarkitektur: Systemutvecklares erfarenheter och framgångsfaktorer
Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : En växande trend inom informationssystem är användningen av mikrotjänster som arkitekturstil för att bygga och underhålla system. Tidigare forskning har visat på fördelar som modularitet, skalbarhet samt möjlighet till snabb driftsättning av kodförändringar. Men tillsammans med välkända fördelar kommer även utmaningar. LÄS MER
17. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. LÄS MER
18. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER
19. Studies on future Mine Countermeasure Vessels (MCMV)
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskapSammanfattning : Background Maritime transportation is vital for international trade, and any disruption to this flow can have severe financial and environmental consequences. Ship mines, both old and new, present significant risks as man-made obstacles. LÄS MER
20. Accelerating university-industry collaborations with MLOps : A case study about the cooperation of Aimo and the Linnaeus University
Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Many developed machine learning models are not used in production applications as several challenges must be solved to develop and deploy ML models. Manual reimplementation and heterogeneous environments increase the effort required to develop an ML model or improve an existing one, considerably slowing down the overall process. LÄS MER