Essays about: "Coefficient of Variation"

Showing result 11 - 15 of 139 essays containing the words Coefficient of Variation.

  1. 11. Compact Radar System

    University essay from Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskap

    Author : Nikhil Chalikonda; Naga Viswanth Bonthu; [2022]
    Keywords : ;

    Abstract : Context: Radar was developed in secret during world war II to detectobstacles or any incoming threat. The term radar was coined in 1940by United States Military as an acronym for "Radio Detection andRanging". Using radio waves a radar detects any incoming threat orobstacle [10]. The basic purpose of radar is for monitoring and security. READ MORE

  3. 12. Feasibility of single time point dosimetry during 177Lu-PSMA-617 treatments of prostate cancer

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Elias Nilsson; [2022]
    Keywords : Medicine and Health Sciences;

    Abstract : Introduction: Standard dosimetry methods for radionuclide therapies re- quire imaging at multiple time points post injection. An alternative method has been presented in the literature that uses previously acquired pharma- cokinetic data to create so-called dose factors. READ MORE

  4. 13. Traction Adaptive Motion Planning for Autonomous Racing

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

    Author : Shekhar Raikar; [2022]
    Keywords : Autonomous vehicles; Motion planning and control; Traction-adaptive; Localization; Robotics; GPU Sampling; Augmented Real Time Iteration.; Autonoma fordon; Rörelseplanering och kontroll; Traction adaptiv; Lokalisering; Robotik; GPU Sampling Augmented Real Time Iteration;

    Abstract : Autonomous driving technology is continuously evolving at an accelerated pace. The road environment is always uncertain, which requires an evasive manoeuvre that an autonomous vehicle can take. READ MORE

  5. 14. Early-stage detection of bark beetle infested spruce forest stands using Sentinel-2 data and vegetation indices

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Karl Piltz; [2022]
    Keywords : Geomatics; Remote sensing; Bark beetle; Early-stage; Vegetation index; Sentinel-2; Spruce; Forestry; Earth and Environmental Sciences;

    Abstract : The European spruce bark beetle is an insect that is often referred to as a pest. Responsible for the destruction of over 150 million m3 of Norwegian spruce forest in Europe over the last 50 years makes this insect one of the major disturbances to the forest industry. READ MORE

  6. 15. Automatic classification of cardiovascular age of healthy people by dynamical patterns of the heart rhythm

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : priya kurian pullolickal; [2022]
    Keywords : Electrocardiogram ECG measures the electrical impulses of the heart. The time inter- val between two successive R peaks measured in millisecond using an ECG is called as an RR-interval. The distribution of the RR-intervals as well as classification of cardiovascu- lar age of healthy people from RR-interval was done in this thesis. For that; the data was preprocessed and time series plots were analyzed from sample dataset. The RR-intervals were then aligned to have the same start time using functions written and then an aver- age RR-interval series for each decade was created. The coefficient of variation was very less for this averaged dataset which concluded that averaging the RR-interval was a good approach. The averaged dataset per age decade as well agreed to the conclusion of the sample data set that the heart rate variability decreases with increasing age. Three clusters of age decade were also visible in the averaged dataset. The kurtosis; skew; mean; me- dian; histograms and Q-Q Plot were calculated for the sample as well as averaged dataset to find the distribution. The values all concluded that the RR-intervals follow Gaussian distribution or mixture of Gaussian distribution. The Poincaré plots showed that the dis- tribution of RR-interval is comet shaped for healthy individuals. The features were ex- tracted from the distribution as well as from the distribution of Discrete Fourier Transform DFT for classifying the age group from RR-intervals. Svitzky-Golay filtering was done to smooth the signal before taking the features from DFT. Random Forest and Support Vector Machine was the machine learning algorithms used to classify the age decade. Later the results were compared using a dataset from physionet that had RR-intervals of individuals suffering from myocardial infraction. The age classification using Random Forest and Sup- port Vector Machine concluded that the Gdańsk dataset using Random Forest Algorithm and three classes gave the highest test accuracy of 59% for the dataset.;

    Abstract : .... READ MORE