Essays about: "regression mode"

Showing result 16 - 20 of 33 essays containing the words regression mode.

1. 16. Estimation of Red Blood Cell-Count using Neural Networks

   University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

   Author : David Andersson; [2020]
   Keywords : Artificial neural networks; ANN; Convolutional neural networks; CNN; Red Blood Cells; Hematology; Image analysis; Regression; Malaria; Counting; Automation; Microscopy; Physics and Astronomy;

   Abstract : Quantification through image analysis is used in a multitude of fields, and often requires algorithms tailored to the specific task and object that needs to be quantified. The need for flexibility means that such segmentation algorithms are quickly becoming outdated with the advent of convolutional neural networks, which can be trained to fit the specific requirements of the user. READ MORE

3. 17. User Equipment Characterization using Machine Learning

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Vanessa Fakhoury; Xin Zhou; [2019]
   Keywords : machine learning; characterization; massive MIMO; beamforming; neural networks; support vector machine; logistic regression; multiclass neural networks; Technology and Engineering;

   Abstract : With the ever increasing demand for higher data rates and reliability, efficient management of cellular networks remains a challenge. Among other technologies, fifth generation systems are expected to tackle this challenge using large electronically controllable antenna arrays operating in the time division duplex mode. READ MORE

4. 18. Exploring the distribution of accessibility by public transport using spatial analysis : a case study for retail concentrations and public hospitals in Athens

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Evangelos Vafeiadis; [2019]
   Keywords : geography; GIS; spatial analysis; geographic weighted regression; spatial clustering; local indicators of spatial association; public transport; accessibility; Social Sciences; Earth and Environmental Sciences;

   Abstract : This thesis studies the distribution of accessibility by public transport to retail concentrations and public hospitals in Athens, using spatial autocorrelation analysis based on Local Indicators of Spatial Autocorrelation (LISA) method and Geographically Weighted Regression (GWR). For this reason, the study area was divided in a 300x300 meter square grid of points representing the location points of the study. READ MORE

5. 19. (Ine)quality of air and water - A political ecology approach to a multilevel analysis of individual- and country-level factors impacting people’s experience of environmental quality in their community

   University essay from Lunds universitet/Graduate School; Lunds universitet/Master of Science in Development Studies

   Author : Josefin Stagge; [2019]
   Keywords : air quality; water quality; environmental justice; political ecology; uneven development; world-systems analysis; multilevel linear regression; Social Sciences;

   Abstract : The purpose of this study is to examine inequalities in terms of air and water quality in a cross-national study comparing determinants at both individual and national level using a subjective measurement. This study explores how uneven development and economic inequalities within and between countries affect people’s experience of environmental problems (i. READ MORE

6. 20. ON THE COMPARABILITY OF PAPER-BASED AND COMPUTER-BASED ENGLISH READING COMPREHENSION TESTS A Study of High-Stakes English Reading Assessment

   University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärande

   Author : Lena Asp; [2018-10-26]
   Keywords : Computer-based test; paper-based test; score comparability; language assessment; high-stakes testing; delivery mode;

   Abstract : The Swedish National Test will be digitalised by 2022 according to the government bill “Prop.2017/18:14. READ MORE