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Showing result 1 - 5 of 244 essays matching the above criteria.

1. 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)

   Author : Alexander Florean; [2024]
   Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   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

3. 2. Improvement of anautomatic networkdrawing algorithm in thecontext of utility networks

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Hyacinthe Ménard; [2024]
   Keywords : District Heating Network; Mathematical Optimization; Python; Fjärrvärme; Optimeringslära; Python;

   Abstract : The European Union’s ambitious climate targets necessitate substantial reductions in greenhouse gas emissions, particularly within the heating and cooling sector, which accounts for a significant portion of energy consumption. District Heating and Cooling (DHC) systems emerge as a key solution for decarbonizing this sector by enabling high efficiency heat production and the integration of renewable and carbon-neutral energy sources. READ MORE

4. 3. Comparative Analysis of On-site vs Off-site green-Hydrogen Value Chain Scenarios to cover projected Aviation demand : A case for Toulouse Blagnac Airport in France

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Stathis Alexandrou; [2023]
   Keywords : Hydrogen Production; Value Chain Analysis; Levelized Cost of Hydrogen Production LCOH ; Hydrogen for Aviation; France; Toulouse Airport; Analys av vätgasens värdekedja; kostnader för vätgasens försörjningskedja; LCOH; flytande vätgas; vätgas för luftfarten; Frankrike; Toulouse Airport; ;

   Abstract : Amidst the efforts to mitigate the energy-related carbon emissions of human activities and pursuing a net-zero future by 2050, the aviation sector, as part of a wider group of hard-to-decarbonize sectors is responsible for 12% of all the transportation emissions globally. Green Hydrogen as a zero-emissions alternative fuel from water and renewable energy serves as a prime candidate to replace conventional aviation fuels and lead the way towards carbon-free flights. READ MORE

5. 4. Eye-tracking Technology for Interactive Experiences in Digital Signage within Retail from a Marketing Perspective

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Oskar Alfredsson; Tekla Hjärtstam; [2023]
   Keywords : ;

   Abstract : Eye-tracking is a prominent subject with a diverse range of applications. Although the technology is primarily optimized for stationary environments, ongoing technological progress present additional market prospects. READ MORE

6. 5. Development of a Complete Minuscule Microscope: Embedding Data Pipeline and Machine Learning Segmentation

   University essay from KTH/Tillämpad fysik

   Author : Kenan Zec; [2023]
   Keywords : Incubation-microscope; Machine Learning Segmentation; ESP32-Cam; Deep Learning; Inkubationsmikroskop; Maskininlärnings-segmentering; ESP32-Cam; Deep Learning;

   Abstract : Cell culture is a fundamental procedure in many laboratories and precedes much research performed under the microscope. Despite the significance of this procedural stage, the monitoring of cells throughout growth is impossible due to the absence of equipment and methodological approaches. READ MORE