Essays about: "model validation"

Showing result 1 - 5 of 728 essays containing the words model validation.

  1. 1. DEVELOPMENT, VALIDATION AND APPLICATION OF A METHOD FOR DETERMINATION OF METABOLITE CONCENTRATIONS WITH PRECLINICAL MAGNETIC RESONANCE SPECTROSCOPY

    University essay from

    Author : Lukas Lundholm; [2021-05-10]
    Keywords : Medical physics; Basis sets; Metabolites; Quantification; Animal study; MRS;

    Abstract : Background: Information on the metabolic content in tissue has diagnostic and prognostic value when examining for example cancer and diseases of the brain. MR spectroscopy is a non-invasive method that allows quantification of metabolite concentrations in vivo, without the use of ionizing radiation, which makes the method highly attractive for both research and clinical applications. READ MORE

  2. 2. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    University essay from Linköpings universitet/Datorseende

    Author : Rolf Sievert; [2021]
    Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE

  3. 3. Beam refinement and beam tracking using Machine Learning Techniques in 5G NR RAN

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Harshal Patel; [2021]
    Keywords : ;

    Abstract : Abstract: Growing needs of communication, demands a higher data transmission rate in 5G NR. In the 3rd generation partnership project (3GPP), frames are used to schedule the data to be transferred between the cellular base station (gNB) and user equipment (UE). READ MORE

  4. 4. Uncertainity in Renewable Energy Time Series Prediction using Neural Networks

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Phil Aupke; [2021]
    Keywords : Time Series Data; Uncertainty; Machine Learning;

    Abstract : With the increasing demand for solar energy, the forecast of the PV station energy production has to be as precisely as possible. To make the prediction more robust, also correlated infor- mation about the weather can be added to the previous energy production of the PV station. READ MORE

  5. 5. Using Sentinel-2 Satellite Images to Estimate Traits of Forage Grasslands

    University essay from SLU/Dept. of Agricultural Research for Northern Sweden

    Author : Niklas Zeiner; [2021]
    Keywords : Remote sensing; Forage grasslands; Sentinel-2; Dry matter yield; Canopy average height; Total leaf chlorophyll content; Partial least squares; Support vector machines;

    Abstract : In this project, regression models based on data from field measurements and spectral information extracted from satellite imagery were used to estimate traits of forage grasslands; dry matter yield, canopy average height and total leaf chlorophyll. Four fields at SLUs Röbäcksdalen field station were sampled on 22 occasions and a total of 198 samples, including measurement of the highest plant, canopy height, leaf chlorophyll content, canopy spectral reflectance and biomass were collected. READ MORE