Essays about: "history based"

Showing result 16 - 20 of 1168 essays containing the words history based.

  1. 16. Urban flood risk mitigation : A perspective form urban planning

    University essay from Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurser

    Author : Andreas Brandow; [2023]
    Keywords : Urban indicators; Resilience; Urban flooding; Flood protection and mitigation; Luleå;

    Abstract : Due to the global warming and climate change, an increased frequency of high intensity rains and other disasters are expected all around the world. To predict this change in climate the IPCC has created a set of climate scenarios, RCPs, that will try to predict the future climate based on how much we are able to adapt and mitigate the effects we as a species have on the environment. READ MORE

  3. 17. Traces of Iron Age activities at Kullen - A New Synthesis

    University essay from Lunds universitet/Arkeologi

    Author : Karolina Jacobsen; [2023]
    Keywords : iron age; Scania; kullaberg; kullen; social structures; GIS; spatial analysis; assemblage theory; affordance theory; entanglement theory; power; resources; older remains; social roles; sites; functions; landscape archaeology; social; culture; activities; cultural landscapes; historical legacies; History and Archaeology;

    Abstract : Kullen has had a huge gap in knowledge about the Iron Age period. This thesis offers a new synthesis to close this gap in knowledge of the Iron Age period in the region. The aim of this study was to gain more knowledge about the Iron Age and the activities during this period in the areas. READ MORE

  4. 18. A shed, a dock and a boat : a design proposal for a harbor in Bohuslän with focus on cultural heritage

    University essay from SLU/Dept. of Urban and Rural Development

    Author : Nina Littmann; [2023]
    Keywords : Bohuslän; cultural heritage; harbor design; development; Tanums kommun; docks;

    Abstract : This thesis presents a design proposal for a new harbor in Bohuslän.The area holds high historical and aesthetic values. The project site has been proposed by the municipality for the development of a new harbor, to meet increasing demand for mooring in the area. READ MORE

  5. 19. HR Analytics for Competitive Advantage: Bringing organisational value while empowering the HR profession

    University essay from Lunds universitet/Företagsekonomiska institutionen

    Author : Elin Engsfelt; Louise Rosén Fång; [2023]
    Keywords : HR Analytics; Artificial Intelligence AI ; Human Resources HR ; Legitimacy; HR Profession; HR Processes; Organisational Processes; Diffusion of Innovation Theory DOI ; Four Stages of Analytics; Isomorphism; Functions; Challenges; Business and Economics;

    Abstract : Title: HR Analytics for Competitive Advantage: Bringing organisational value while empowering the HR profession Authors: Elin Engsfelt & Louise Rosén Fång Supervisor: Rikard Larsson Problem definition: The HR profession has throughout history, and still has, a legitimacy problem, where the HR department typically becomes administrative support, rather than a strategic business partner. Purpose: Explore HR professionals' perceptions and opinions on the use of HR Analytics in their work and identify the functions and challenges that HR Analytics brings to the organisation, the HR department, and the HR profession. READ MORE

  6. 20. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Stella Jarlöv; Anton Svensson Dahl; [2023]
    Keywords : demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

    Abstract : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. READ MORE