Sökning: "Classification of Income"
Visar resultat 1 - 5 av 53 uppsatser innehållade orden Classification of Income.
1. Using GIS and satellite data to assess access of green area for children living in growing cities
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Urban green space (UGS) refers to open spaces within an urban context that are filled with greenery and nature. These can range from very small vegetation to expansive park areas. The common denominator is that they have proven to be beneficial for human health and well-being. Access to green spaces is also important for children. LÄS MER
2. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER
3. Monitoring Urbanization in Sekondi-Takoradi, Ghana, using Multi-Temporal Sentinel-2 MSI Imagery and In-Situ Interviews
Master-uppsats, KTH/GeoinformatikSammanfattning : Rapid urbanization is taking place in Low-and middle-income countries (LMICs). Often there is not sufficient data monitoring the quick urban change. This study explores the use of machine learning classification within remote sensing to foster sustainable urban practices in a secondary city in an LMIC. LÄS MER
4. Classification Method of Financial Behaviour Through Means of Machine Learning : Can a classification method created using bank transaction and machine learning help individuals to understand their spending behavior?
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the current fast transformation from physical cash to digitized banking systems, there are more and more people that are at risk of overspending without realizing it. There are methods and researches done that are targeted at incorporating machine learning in identifying fraudulent transactions and credit scores but currently there is no research done in categorizing people’s behaviour based on transaction records using machine learning techniques. LÄS MER
5. Arbetsmarknadens jobbsammansättning, jobbpolarisering och tekniskt driven automatisering under Sveriges rekordår 1940–1970
Kandidat-uppsats, Uppsala universitet/Ekonomisk-historiska institutionenSammanfattning : In this paper, I investigate changes in the job market composition during Sweden’s “Golden Age” between the end of WWII and the 1974 oil crisis to examine to which degree this reflects an earlier job polarization than previously thought and validates that era’s anxieties about automation. Drawing from individual income and occupational data from a representative sample of the Swedish population from the year 1940, 1950, 1960 and 1970 and using the Historical International Standard of Classification of Occupations (HISCO) to make the data sets comparable, I demonstrate a general decrease in the share of blue-collar professionals and a general increase in the share of white-collar professionals, as well as a transition from unskilled to semi-skilled and skilled jobs. LÄS MER