Essays about: "prediction tools"
Showing result 1 - 5 of 170 essays containing the words prediction tools.
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1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
University essay from Lunds universitet/Matematik LTHAbstract : 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. READ MORE
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2. Data-driven decisions in Sports
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : 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. READ MORE
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3. The Application of Multivariate Statistical Process Control during Industrial Hot Isostatic Pressing Sintering Processes : A Case study at Seco Tools AB
University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleAbstract : 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. READ MORE
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4. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : 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. READ MORE
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5. Generation of a metrical grid informed by Deep Learning-based beat estimation in jazz-ensemble recordings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE