Sökning: "Concurrent training"
Visar resultat 1 - 5 av 28 uppsatser innehållade orden Concurrent training.
1. Faktorer som påverkar läkemedelsföljsamhet hos äldre : en icke-systematisk litteraturöversikt över upplevelse, utmaningar och individuella uppfattningar hos äldre människor
Kandidat-uppsats, Sophiahemmet HögskolaSammanfattning : Bakgrund Den ökande äldre befolkningen står inför komplexa utmaningar relaterade till åldersrelaterade sjukdomar och hälsotillstånd, vilket kräver hantering av omfattande behandlingsplaner med flera samtidiga läkemedel och rekommendationer. Trots detta möter äldre hinder som påverkar följsamheten till deras behandlingsplaner. LÄS MER
2. Dimensioning Microservices on Kubernetes Platforms Using Machine Learning Techniques
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : In recent years, cloud computing and containerization have become increasingly popular for various applications. However, optimizing resource usage and minimizing costs while providing reliable and efficient service to users can be a challenge. One such challenge is scaling containers according to the current system load. LÄS MER
3. Reaching Higher I4.0 Maturity in Lean-Driven Manufacturing Systems : A case study on the influencing factors in the selection and implementation of I4.0 technologies
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The new Industry 4.0 technologies have the potential to increase the operational performance of lean-driven manufacturing organizations, however, there is a lack of guidance on how to select and implement Industry 4.0 technologies which often leads to digital waste. LÄS MER
4. ODENSE Illuminating Storage : Matching user needs with smart textiles todevelop a multi-functional furniture concept
Master-uppsats, KTH/Maskinkonstruktion (Inst.)Sammanfattning : This report presents the master thesis project carried out by Pierre Lindgren & Jacob Thagaard Hansen at KTH Royal Institute of technology for IKEA of Sweden. The project aimed to explore the capabilities of so-called smart textiles, as well as to establish clear user needs which these can meet. LÄS MER
5. Efficient serverless resource scheduling for distributed deep learning.
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Stemming from the growth and increased complexity of computer vision, natural language processing, and speech recognition algorithms; the need for scalability and fault tolerance of machine learning systems has risen. In order to comply with these demands many have turned their focus towards implementing machine learning on distributed systems. LÄS MER