Sökning: "Robust workflow"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden Robust workflow.
1. A Software Process Workflow for Smart Anomaly Detection Systems
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The use of smart anomaly detection systems is set to increase at organisations during the Industry 4.0 era, for use in Predictive Maintenance (PdM). LÄS MER
2. Blueprint and Beyond : Integrating BIM and LPS within Lean Construction on Production Process
Master-uppsats, KTH/Fastigheter och byggandeSammanfattning : The construction industry faces numerous challenges, such as schedule delays, cost overruns, and rework, which can impact project success and profitability. The key motivation for this report is to explore and understand the potential benefits and implications of integrating Building Information Modeling (BIM) functionalities with the Last Planner System (LPS). LÄS MER
3. Design Process of an Industrial Machine for Part Feeding
Master-uppsats, KTH/MaskinkonstruktionSammanfattning : This thesis investigates the efficacy of integrating prototyping methodologies and robust design principles at the initial stages of the design workflow to optimize resource utilization. This acquired knowledge is applied in the development process of an industrial parts feeding machine. LÄS MER
4. The Effect of Zero Trust Model on Organizations
Magister-uppsats, Lunds universitet/Institutionen för informatikSammanfattning : The increase in cyber threats has prompted organizations to adopt more robust cybersecurity frameworks, such as the Zero Trust model. This study investigates the effects of implementing the Zero Trust model on organizations. LÄS MER
5. Influence of Preprocessing Steps for Molecular Data on Deep Neural Network Performance
Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : The massive accumulation of omics data requires effective computational tools to analyze and interpret such data. Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI), has shed light on these challengings and achieved great success in bioinformatics. LÄS MER