Sökning: "prediction tools"
Visar resultat 1 - 5 av 192 uppsatser innehållade orden prediction tools.
1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER
2. Data-driven decisions in Sports
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : In recent years, many sectors such as insurance, banking, retail, etc. have adopted Big Data architectures to boost their business activities. Such tools not only suppose a greater profit for thesecompanies but also allow them to gain a better understanding of their customers and their needs. LÄS MER
3. The Application of Multivariate Statistical Process Control during Industrial Hot Isostatic Pressing Sintering Processes : A Case study at Seco Tools AB
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleSammanfattning : This Master's thesis focuses on improving the understanding and monitoring of the Hot Isostatic Pressing (HIP) sintering process used by Seco Tools AB to manufacture cemented carbides for cutting tools. While essential for producing cutting tools with superior hardness and toughness the HIP sintering process introduces a complex relationship between the selected process parameters and the achieved materials properties. LÄS MER
4. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)
Master-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. LÄS MER
5. Generation of a metrical grid informed by Deep Learning-based beat estimation in jazz-ensemble recordings
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This work uses a Deep Learning architecture, specifically a state-of-the-art Temporal Convolutional Network, to track the beat and downbeat positions in jazz-ensemble recordings to derive their metrical grid. This network architecture has been used successfully for general beat tracking purposes. LÄS MER