Sökning: "Self-Organising maps"
Hittade 4 uppsatser innehållade orden Self-Organising maps.
1. Security Assessment of IoT- Devices Grouped by Similar Attributes : Researching patterns in vulnerabilities of IoT- devices by grouping devices based on which protocols are running.
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The Internet of Things (IoT) is a concept that is getting a lot of attention. IoT devices are growing in popularity and so is the need to protect these devices from attacks and vulnerabilities. Future developers and users of IoT devices need to know what type of devices need extra care and which are more likely to be vulnerable. LÄS MER
2. Assessment of Machine Learning Applied to X-Ray Fluorescence Core Scan Data from the Zinkgruvan Zn-Pb-Ag Deposit, Bergslagen, Sweden
Master-uppsats, Luleå tekniska universitet/Geovetenskap och miljöteknikSammanfattning : Lithological core logging is a subjective and time consuming endeavour which could possibly be automated, the question is if and to what extent this automation would affect the resulting core logs. This study presents a case from the Zinkgruvan Zn-Pb-Ag mine, Bergslagen, Sweden; in which Classification and Regression Trees and K-means Clustering on the Self Organising Map were applied to X-Ray Flourescence lithogeochemistry data derived from automated core scan technology. LÄS MER
3. Assessment of hemodynamic parameters using 4D Flow MRI
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Heart disease is one of the worldwide leading causes of death, and facilitating the work of physicians in this area is therefore of great importance. Imaging of the heart is one of many fields that is used for diagnosis and analysis of cardiac disease. LÄS MER
4. Improving Clustering of Gene Expression Patterns
Magister-uppsats, Institutionen för datavetenskapSammanfattning : The central question investigated in this project was whether clustering of gene expression patterns could be done more biologically accurate by providing the clustering technique with additional information about the genes as input besides the expression levels. With the term biologically accurate we mean that the genes should not only be clustered together according to their similarities in expression profiles, but also according to their functional similarity in terms of functional annotation and metabolic pathway. LÄS MER