Essays about: "distance sampling"

Showing result 1 - 5 of 78 essays containing the words distance sampling.

1. 1. The Paradox of Gender Equality and Female Entrepreneurship

   University essay from Lunds universitet/Företagsekonomiska institutionen

   Author : Emma Lisnell; Stella Berlin; [2024]
   Keywords : Female entrepreneurship; Values; Attitude; Perceptions; Self-Efficacy; Business and Economics;

   Abstract : Title: The Paradox of Gender Equality and Female Entrepreneurship; A study seeking to elucidate the perceptions and value systems that underlie entrepreneurial activity among women in Sweden Seminar date: January 10th, 2024 Course: FEKH99, Bachelor Degree Project in Entrepreneurship and Innovation Management, Business administration, Undergraduate level, 15 University Credit Points Authors: Stella Berlin, Emma Lisnell Advisor: Ziad El-Awad Keywords: Female entrepreneurship; Values; Attitude; Perceptions; Self-Efficacy Research question: How do the inherent value systems surrounding women in Sweden influence their intentions, decisions, and actions in the pursuit of entrepreneurship? Purpose: Extend existing research to provide a nuanced exploration of the value systems influencing Swedish women's perceptions, intentions, and engagement in entrepreneurship. Methodology: A qualitative multiple case study with a comparative element. READ MORE

3. 2. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning

   University essay from Uppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

   Author : Joar Lönngren; Ludwig Tiston; [2023]
   Keywords : Machine Learning; Neural Network; Cosmic Dust; Solar Orbiter; Space Physics; Space Dust;

   Abstract : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. READ MORE

4. 3. Toward an application of machine learning for predicting foreign trade in services – a pilot study for Statistics Sweden

   University essay from Stockholms universitet/Statistiska institutionen

   Author : Tea Unnebäck; [2023]
   Keywords : foreign trade in services; sampling; sampling frame; statistics; machine learning; random forest; predicting; extreme gradient boosting; k nearest neighbors; k-nn; official statistics; statistics sweden;

   Abstract : The objective of this thesis is to investigate the possibility of using machine learn- ing at Statistics Sweden within the Foreign Trade in Services (FTS) statistic, to predict the likelihood of a unit to conduct foreign trade in services. The FTS survey is a sample survey, for which there is no natural frame to sample from. READ MORE

5. 4. Day or night? Testing thermal imaging technology for estimating ungulate population densities in southern Sweden

   University essay from SLU/Southern Swedish Forest Research Centre

   Author : Julia Nowak; [2023]
   Keywords : monitoring; ungulates; thermal imaging; population density; distance sampling; Dama dama;

   Abstract : To be able to make a proper judgement and choose the best management or conservation solution when working with populations of wild ungulates or any other wildlife, it is important to obtain good estimates of population densities. Inventing or improving wild animal monitoring methods is a key to protect what may be endangered or to avoid human-wildlife conflicts. READ MORE

6. 5. Generating Synthetic CT Images Using Diffusion Models

   University essay from Umeå universitet/Institutionen för fysik

   Author : Salih Saleh; [2023]
   Keywords : Machine learning; artificial intelligence; generative models; diffusion models; MRI; CT; synthetic CT; radiation therapy;

   Abstract : Magnetic resonance (MR) images together with computed tomography (CT) images are used in many medical practices, such as radiation therapy. To capture those images, patients have to undergo two separate scans: one for the MR image, which involves using strong magnetic fields, and one for the CT image which involves using radiation (x-rays). READ MORE