Essays about: "LAR"

Showing result 1 - 5 of 41 essays containing the word LAR.

1. 1. Analyzing the performance of active learning strategies on machine learning problems

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Vendela Werner; [2023]
   Keywords : computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

   Abstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE

3. 2. Development of a web application with focus on navigability : How is the usability on a web application for E-commerce of plants and cuttings affected by its navigability?

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Johan Christiansson; Silje Graarud; Lovisa Ivarsson; Torsten Liljedahl; Klara Nylén; Selma Renqvist; Olof Swedberg; Philip Wissinger; [2023]
   Keywords : navigability; usability; web application;

   Abstract : The purpose of this project was to determine how the experienced navigability of a web application affects its usability. In order to further investigate this, a web application called Sprouty was created, an easy-to-use web application that promotes individuals to buy and sell pre-owned plants and cuttings. READ MORE

4. 3. LSTM-attack on polyalphabetic cyphers with known plaintext : Case study on the Hagelin C-38 and Siemens and Halske T52

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

   Author : Oriol Closa; [2023]
   Keywords : ;

   Abstract : Polyalphabetic cyphers have been used for centuries and well into the 1970s to transmit all kinds of messages. Since then, computers and modern cryptography have taken over making bruteforce attacks unfeasible when designed properly. READ MORE

5. 4. Models for estimating radiation dose and LAR from radioactive fallout: extended dose algorithms for the computational tool LARCalc

   University essay from

   Author : Jonathan Sundström; [2022-09-09]
   Keywords : Medical physics; Nuclear power plant; Radiation dose; Effective dose; Lifetime attributable risk; LAR; Fallout; Inhalation; Strontium-90; Iodine-131; Cloudshine;

   Abstract : Today, emergency preparedness is needed against both nuclear reactor accidents and nuclear weapons fallout. Both scenarios can lead to exposure of ionizing radiation. Upon exposure, radionuclides will incur a radiation dose both internally and externally. READ MORE

6. 5. 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