Sökning: "Performance Evaluation"

Visar resultat 11 - 15 av 3269 uppsatser innehållade orden Performance Evaluation.

  1. 11. Coverage increase in a plant-based BB cream formulation with natural pigments

    Master-uppsats, KTH/Kemi

    Författare :Leelou Zoé Billot; [2024]
    Nyckelord :BB cream; Coffee; Coverage; Formulation; KAFFAGE®; BB cream; kaffe; täckning; formulering; KAFFAGE®;

    Sammanfattning : Kaffe Bueno, ett bioteknologiskt start-up-företag dedikerat till framsteg inom naturliga och gröna produkter, fokuserar på att utnyttja den outnyttjade potentialen hos kaffebiprodukter genom grön kemi och bioteknik. Då endast 1% av kaffet används för bryggning, extraherar företaget lösliga och olösliga produkter genom en uppdelning mellan ett oljeutvinning och ett efterföljande vattenuttag, vilket bidrar till att sänka CO2-utsläppen per värde och en cirkulär ekonomi. LÄS MER

  3. 12. Shifting focus from yields to food supply : an evaluation of the ‘number of people fed per hectare’ indicator at farm and national level

    Master-uppsats, SLU/Department of Molecular Sciences

    Författare :Ida Ekqvist; [2024]
    Nyckelord :Land use efficiency; Sustainability indicators; Agricultural productivity; Food production;

    Sammanfattning : The challenge of feeding a growing global population while reducing the pressure on climate and ecosystems has gained much attention in research over the last decades. A crucial yet often overlooked aspect in research addressing this complex challenge is the efficiency of food production in meeting nutritional needs within the constraints of global cropland resources. LÄS MER

  4. 13. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Jonas Wedén; [2024]
    Nyckelord :Machine Learning; ML; Reinforcement Learning; RL; Neural Network; Deep Learning; Autonomous Vehicle; Vehicle; CARLA; Convolutional Neural Network; CNN; Precisit; Q-learning; Deep Q-learning; DQN;

    Sammanfattning : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. LÄS MER

  5. 14. Study case: The water-cooling effect on floating photovoltaic plants performance

    Master-uppsats, KTH/Energiteknik

    Författare :Alice Dragon; [2024]
    Nyckelord :Solar photovoltaic; Floating photovoltaic; Performance analysis; Thermal loss; Panel Efficiency; Cooling effect; Solceller; Flytande solceller; Prestandaanalys; Termisk förlust; Panelens effektivitet; Kylande effekt;

    Sammanfattning : Floating solar technology is relatively new, and it comes with its own set of challenges and opportunities. This master thesis focuses on understanding how Floating Photovoltaic (FPV) projects perform compared to Ground-Based Photovoltaic (GPV) projects, in specific weather conditions. LÄS MER

  7. 15. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER