Sökning: "Data Estimation"

Visar resultat 1 - 5 av 1891 uppsatser innehållade orden Data Estimation.

  1. 1. Wireless Sensor Network for Controlling the Varroasis Spread within Bee colonies across a Geographical Region

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Venkat Sai Akhil Dasyam; Saketh Pokuri; [2024]
    Nyckelord :Wireless Sensor Networks; Monitoring and Control; Precision Beekeeping; Disease spread; Internet of Things.;

    Sammanfattning : Background: With the global decline of honey bee populations, safeguarding these vital pollinators has become crucial. Varroa destructor mites are a primary threat, weakening bees and facilitating the spread of diseases, which can decimate colonies and disrupt ecosystems. LÄS MER

  3. 2. Using artificial intelligence to improvetime estimation for project management

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

    Författare :Marcus Bonnedahl; [2024]
    Nyckelord :time estimation; ai; machine learning; project management;

    Sammanfattning : Time estimation is an important aspect in project management. Failure to make accurateestimates can lead to large consequences. Despite this, humans tend to make fairly inaccurateestimates when tasked to, often underestimating the time something will take substantially. LÄS MER

  4. 3. Evaluating the accuracy of NEWA, ERA5 and NORA3 in predicting onshore wind conditions: a comparative study using ICOS meteorological mast data in Sweden

    Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

    Författare :Svetlana Kuru; [2024]
    Nyckelord :NEWA; ERA5; NORA3; wind speed; wind distribution; correlation coefficient;

    Sammanfattning : The ECMWF Reanalysis v5 (ERA5), the New European Wind Atlas (NEWA), and the 3 km Norwegian Reanalysis (NORA3) are reference datasets that are available for industry and research. The resolution of 3km in both the NORA3 and NEWA datasets sets them apart, while ERA5, with its 31km resolution, continues to serve as a reliable data source that is widely used in the industry. LÄS MER

  5. 4. 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

  7. 5. Predicting inflow and infiltration to wastewater networks based on temperature measurements

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Martin Åsell; [2024]
    Nyckelord :Inflow and Infiltration; I I; CNN; Linear regression;

    Sammanfattning : Sewer pipelines are deteriorating due to aging and sub optimal material selections, leading to the infiltration of clean ground and rainfall water into the pipes. It is estimated that a significant portion (up to 40-50%) of the water entering wastewater treatment plants is actually clean infiltrated water. LÄS MER