Sökning: "Prediction interpolation"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden Prediction interpolation.

1. 1. Vanliga problem och lösningar för onlinespel

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Carl-Vilhelm Johansson; Melvin Olsson; [2023]
   Nyckelord :nätverkshantering; pvp-spel; onlinespel; klient; server;

   Sammanfattning : Denna litteraturanalys går igenom åtgärderna för de problem som förekommer vid skapandet av online pvp-spel. Några av de vanliga problem som kan stötas på innefattar fördröjning, paketförlust, fusk, skalbarhet, synkronisering, uppdateringsfrekvens och säkerhet. LÄS MER

3. 2. Optimizing Load Balancing inRaytracing for Radio Frequency PropagationPredictive models developed for simulation systems

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Wenhao Zhu; [2023]
   Nyckelord :;

   Sammanfattning : This thesis presents two predictive models with the aim of pre-allocating memory efficiently in the Ericsson Radio Frequency Propagation Simulation System through the prediction model, so as to achieve the effect of load balancing. The proposed approaches utilize interpolation and the Gradient Boosting Decision Tree (GBDT) method from machine learning for prediction and  apply both methods in multiple test scenarios. LÄS MER

4. 3. Spatialanalys av markgeokemi : Hur utlakningshalter av markgeokemin varierar i Sveriges morän enligt interpolationsmetoder

   Kandidat-uppsats, Umeå universitet/Institutionen för ekologi, miljö och geovetenskap

   Författare :Sara Emilie Hansen Österlund; [2023]
   Nyckelord :interpolations; geographic information system; GIS; geochemistry; till; geology;

   Sammanfattning : The purpose of this study was to evaluate the spatial distribution of geochemistry in Swedish till and whether interpolations could predict unknown values of geochemistry between samples at a national spatial level, Sweden, and a regional, the county of Västerbotten. The information of the spatial distribution of the elements and the interpolations accurateness has several applications. LÄS MER

5. 4. Deep learning for temporal super-resolution of 4D Flow MRI

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Pia Callmer; [2023]
   Nyckelord :Temporal super-resolution; 4D Flow MRI; CNN; Artificial Intelligence; MRI; 4D flow; Temporal superupplösning; 4D flöde MRI; CNN; artificiell intelligens; MRI; 4D-flöde;

   Sammanfattning : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. LÄS MER

7. 5. Combining scientific computing and machine learning techniques to model longitudinal outcomes in clinical trials.

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Harshavardhan Subramanian; [2021]
   Nyckelord :Bootstrap sampling; Cubic spline interpolation; Sparse regression; SINDy; Bayesian inference; Mechanistic Modeling; Scientific computing;

   Sammanfattning : Scientific machine learning (SciML) is a new branch of AI research at the edge of scientific computing (Sci) and machine learning (ML). It deals with efficient amalgamation of data-driven algorithms along with scientific computing to discover the dynamics of the time-evolving process. LÄS MER