Essays about: "segmentation analysis"
Showing result 21 - 25 of 289 essays containing the words segmentation analysis.
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21. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. READ MORE
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22. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis addresses the optimization of the Variational Autoencoder-based Change Point Detection (VAE-CP) approach in time series analysis, a vital component in data-driven decision making. We evaluate the impact of various distance metrics and hyperparameters on the model’s performance using a systematic exploration and robustness testing on diverse real-world datasets. READ MORE
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23. On the Service Level Disparities between Spare Parts Segments - A Case Study at Tetra Pak Technical Service
University essay from Lunds universitet/Teknisk logistikAbstract : Tetra Pack Technical Services provides spare parts for Packaging and Processing product segments. Despite similar inventory management, the processing segment consistently has a lower spare parts service level. READ MORE
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24. The Myth of Incentive-Based Sales Strategies: an Empirical Analysis Contradicting Prevailing Theories using Data Mining and Hypothesis Testing Techniques
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : In recent decades, the use of incentive-based reward programs to foster customer loyalty and promote sales has become prevalent in various industries. While these strategies are widely accepted and implemented, there is a significant gap in empirical studies to ascertain their real-world effectiveness. READ MORE
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25. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. READ MORE