Sökning: "verklig användning"
Visar resultat 1 - 5 av 67 uppsatser innehållade orden verklig användning.
1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER
2. BLOCKCHAIN FÖR EXAMENSBEVIS En studie om EU:s projekt att utnyttja blockchain för hanteringen av examensbevis
Kandidat-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : Vid examen från en utbildning utfärdar universitet ett bevis på att studenten klarat sin utbildning. Historiskt har detta delats ut som ett diplom i pappersform vid tillfälle av en examensceremoni eller liknande. LÄS MER
3. Status Mapping of tank to grave management of Low-GWP refrigerants.
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Refrigeration plays a vital role today in various residential, commercial, and industrial processes, requiring refrigerants to facilitate the cooling or heating processes. Over time, refrigerants have undergone significant changes to meet technological, social, environmental, and economic needs. LÄS MER
4. Improved Testing Strategies from Standards for New Growing Battery Applications in the Industrial and E-mobility Sectors
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : In the current energy challenges, related to both climate change and the sudden rise in energy prices, batteries plays a key role in providing and storing energy. Before batteries are sent to market, the batteries are repeatedly subjected to different types of tests since it is crucial to verify that the performance and safety of these technologies are ensured in the different applications. LÄS MER
5. Data-Driven Success in Infrastructure Megaprojects. : Leveraging Machine Learning and Expert Insights for Enhanced Prediction and Efficiency
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This Master's thesis utilizes random forest and leave-one-out cross-validation to predict the success of megaprojects involving infrastructure. The goal was to enhance the efficiency of the design and engineering phase of the infrastructure and construction industries. LÄS MER