Sökning: "IT deployment"
Visar resultat 1 - 5 av 741 uppsatser innehållade orden IT deployment.
1. Integrating Local Knowledge into the Spatial Analysis of Wind Power: The case study of Northern Tzoumerka, Greece
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Increasing demand for incorporating renewable energy projects into the national energy mix, is associated with international and European efforts to tackle the negative effects of climate change and strengthen energy resilience. Greece, as a member country of the European Union, has acknowledged that necessity, by implementing a national program aiming to significantly reduce Green House Gas Emissions and upscale Renewable Energy Sources (RES) project development in upcoming years. LÄS MER
2. A Comparative Analysis of SecurityServices Using Identity and AccessManagement (IAM)
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Identity and Access Management (IAM) is a critical IT securityframework for managing digital identities and resource access. With roots datingback to ancient civilizations, IAM has evolved from basic authentication to sophisticated methods. LÄS MER
3. Implementing End-to-End MLOps for Enhanced Steel Production
M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). LÄS MER
4. To Deploy, or Not to Deploy, That is the Question A qualitative study of the decision-making experiences of engineers deploying software changes in production
Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : The web services that millions of people count on require large-scale computer resources (servers, nodes, networking) and an intricate set of interdependent software services. Under pressure to continually improve these services, code and configuration changes are deployed hundreds or thousands of times every day. LÄS MER
5. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. LÄS MER