Essays about: "spatial accuracy"

Showing result 21 - 25 of 255 essays containing the words spatial accuracy.

  1. 21. Implementing SAE Techniques to Predict Global Spectacles Needs

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Yuxue Zhang; [2023]
    Keywords : small area estimation; area-level model; empirical best linear unbiased prediction EBLUP ; generalized linear mixed models; Conditional Autoregressive; spatial correlation; spectacle needs; assistive products; auxiliary data; hglm; relative standard error; simulation;

    Abstract : This study delves into the application of Small Area Estimation (SAE) techniques to enhance the accuracy of predicting global needs for assistive spectacles. By leveraging the power of SAE, the research undertakes a comprehensive exploration, employing arange of predictive models including Linear Regression (LR), Empirical Best Linear Unbiased Prediction (EBLUP), hglm (from R package) with Conditional Autoregressive (CAR), and Generalized Linear Mixed Models (GLMM). READ MORE

  2. 22. Confidential Federated Learning with Homomorphic Encryption

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Zekun Wang; [2023]
    Keywords : Cloud Technology; Confidential Computing; Federated Learning; Homomorphic Encryption; Trusted Execution Environment; Molnteknik; Konfidentiell databehandling; Federerad inlärning; Homomorfisk kryptering; Betrodd körningsmiljö;

    Abstract : Federated Learning (FL), one variant of Machine Learning (ML) technology, has emerged as a prevalent method for multiple parties to collaboratively train ML models in a distributed manner with the help of a central server normally supplied by a Cloud Service Provider (CSP). Nevertheless, many existing vulnerabilities pose a threat to the advantages of FL and cause potential risks to data security and privacy, such as data leakage, misuse of the central server, or the threat of eavesdroppers illicitly seeking sensitive information. READ MORE

  3. 23. Improved Statistical Methods for Elliptic Stochastic Homogenization Problems : Application of Multi Level- and Multi Index Monte Carlo on Elliptic Stochastic Homogenization Problems

    University essay from Uppsala universitet/Tillämpad beräkningsvetenskap

    Author : Khalil Daloul; [2023]
    Keywords : Homogenization; Multilevel Monte Carlo; Multi-Index Monte Carlo; Monte Carlo; Multiscale methods;

    Abstract : In numerical multiscale methods, one relies on a coupling between macroscopic model and a microscopic model. The macroscopic model does not include the microscopic properties that the microscopic model offers and that are vital for the desired solution. READ MORE

  4. 24. Segmentation and Valuation in  Stockholm Housing Market : Spatial Continuous and Discontinuous Submarkets Evaluating by Hedonic Price Model and XGBoost Model

    University essay from KTH/Fastighetsekonomi och finans

    Author : Xianglin Sun; [2023]
    Keywords : housing market segmentation ; spatial continuity ; hedonic price model ; XGBoost model ; segmentering av bostadsmarknaden ; rumslig kontinuitet ; hedonisk prismodell ; XGBoost modell ;

    Abstract : The housing market segmentation could provide a reference for more targeted policymaking and investment strategies. Although there have been many studies, there are no consistent submarkets delineating methods because of a lack of theoretical support and subjective evaluation. In this paper, two market segmentation methods are introduced. READ MORE

  5. 25. Claws and Effect : how Small Carnivore Richness Responds to Habitat Diversity and Ecological Productivity

    University essay from SLU/Dept. of Wildlife, Fish and Environmental Studies

    Author : Emilia Arkdalen; [2023]
    Keywords : small carnivore; camera trap; occupancy model; species richness; productivity; habitat richness; habitat evenness;

    Abstract : Species distribution and composition research has gained significance in light of global warming and its impact on biodiversity. Understanding the factors shaping species richness is crucial for wildlife ecology and conservation. READ MORE