Essays about: "verklig data"
Showing result 1 - 5 of 164 essays containing the words verklig data.
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1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : 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. READ MORE
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2. Re-design and usability improvement of Arvue : an AR application displaying house models in their real context
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : Building your own house may be the biggest decision and greatest investment of your life, which calls for an informed decision regarding the house design. However, two-dimensional drawings may lack external context and might, for untrained eyes, not communicate how the house will look on its intended site. READ MORE
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3. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. READ MORE
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4. Machine Learning for State Estimation in Fighter Aircraft
University essay from KTH/Optimeringslära och systemteoriAbstract : This thesis presents an estimator to assist or replace a fighter aircraft’s air datasystem (ADS). The estimator is based on machine learning and LSTM neuralnetworks and uses the statistical correlation between states to estimate the angleof attack, angle of sideslip and Mach number using only the internal sensorsof the aircraft. READ MORE
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5. An Evaluation of Artificial Neural Networks as an alternative to Example-Based Crowd Simulation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the ever-developing field of crowd simulation several different algorithms have been proposed to enable data-driven simulations: methods using real-life data to generate realistic pedestrian movements. With different use-cases and trade-offs it is vital to understand the particulars of each approach. READ MORE