Essays about: "Performance indicators"

Showing result 1 - 5 of 636 essays containing the words Performance indicators.

  1. 1. Does industry survey data improve GDP forecasting?

    University essay from Göteborgs universitet/Företagsekonomiska institutionen

    Author : Oscar Andersson; Ludvig Fornstedt; [2024-03-06]
    Keywords : Bayesian; BVAR; Forecasting; GDP; survey data;

    Abstract : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. READ MORE

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

    University essay from SLU/Department of Molecular Sciences

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

    Abstract : 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. READ MORE

  3. 3. Exploring potential E-fuel production pathways for maritime and aviation sectors in France : a techno-economic and environmental assessment

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

    Author : Mathieu Minaud; [2024]
    Keywords : ;

    Abstract : The aviation and maritime industries pose significant challenges for decarbonization, having increased activity in the past decade. One promising solution to limit emissions in these sectors is Electrofuels (E-fuel), derived from water electrolysis hydrogen and captured CO2 or nitrogen. READ MORE

  4. 4. 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

  5. 5. Digital Twins and Sustainability: A Comprehensive Review of Limitations and Opportunities

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Simeon Petrov; [2023-12-04]
    Keywords : Digital Twins; Real Twin; Sustainability; Metrics; Indicators; Industry; Manufacturing; Production; Systemic Literature Review;

    Abstract : During the past few years there has been an increasing push to deliver sustainable products and improve production processes to meet the growing demand faced by various types of industries. There is a high importance placed on identifying and defining project, product, and policy goals but sustainability goals within these areas are difficult to define. READ MORE