Essays about: "data-driven innovation"

Showing result 1 - 5 of 48 essays containing the words data-driven innovation.

  1. 1. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Azin Farzam; [2024]
    Keywords : Shifting Peak Load; Electricity Reduction; Measuring Peak Load; Electricity Efficiency; Building Management System; Electricity Consumption.;

    Abstract : Introduction: The global demand for renewable energy is expected to grow annually due to rising electricity consumption and economic and regulatory incentives. Efficient consumption and management of electricity consumption can support this trend (shifting from fossil resources to renewable resources) and benefit companies economically by reducing peak loads, reducing subscription costs, and protecting companies' power systems and networks. READ MORE

  2. 2. 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. 3. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : John Moberg; Jonathan Widén; [2023]
    Keywords : Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

    Abstract : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. READ MORE

  4. 4. Aspects to consider when introducing IoMT-solutions into the healthcare system in Sweden

    University essay from Lunds universitet/Produktionsekonomi

    Author : Fanny Holmqvist; Johanna Ihrfelt; [2023]
    Keywords : IoMT; Public procurement; Urinary Incontinence; Digital transformation; Change management; Technology and Engineering;

    Abstract : The healthcare system in Sweden is currently facing major challenges, particularly with regards to rising healthcare costs, an aging population, and an increase in chronic diseases. To overcome these challenges, the healthcare system requires innovative solutions that can provide cost-effective care while maintaining quality standards. READ MORE

  5. 5. How AI Drives Innovation Capabilities within an Enterprise : A study of the Chinese innovative companies

    University essay from Jönköping University/Internationella Handelshögskolan

    Author : Cailing Zhang; [2023]
    Keywords : Enterprise; Development Strategy; Innovation; Engineering; Global Economy;

    Abstract : Background: AI innovation, an emerging concept, refers to innovation capabilities that incorporate AI technologies. In recent years, generative AI has garnered significant attention, emphasizing the need for a deeper understanding of its role in innovation. READ MORE