Sökning: "feature selection"
Visar resultat 16 - 20 av 318 uppsatser innehållade orden feature selection.
16. Analys och minskning av effektförlusterna i en borstlös likströmsmotor med vektorstyrning
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell elektroteknik och automationSammanfattning : This report addresses power losses in an electric motor arising from various sources. The choice of motor control strategy can decrease efficiency if not implemented correctly or if the motor model in the control loop is overly simplified. LÄS MER
17. Comparision of Machine Learning Algorithms on Identifying Autism Spectrum Disorder
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmen-tal disorder that affects social communication, behavior, and cognitive development.Patients with autism have a variety of difficulties, such as sensory impairments, at-tention issues, learning disabilities, mental health issues like anxiety and depression,as well as motor and learning issues. LÄS MER
18. Optimisation of warehouse for second-hand items using Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Warehouse management and organisation often use the popularity of items to assign placements in the warehouse and predict sales. However, when dealing with only unique second-hand items another solution is needed. LÄS MER
19. När platserna inte räcker till : En kvalitativ studie om gatekeeping inom dansvärlden
Kandidat-uppsats, Södertörns högskola/SociologiSammanfattning : The aim of this study is to widen the sociological knowledge about how gatekeepers make selections, in contexts characterized by uncertainty. This is examined through the dance world as empirical case, based on the question “How do gatekeepers orientate themselves in the uncertainty that characterizes decision-making around which dance artists should be assigned dance residencies?”. LÄS MER
20. Machine learning algorithm for generation and consumption forecasting in an electrical network
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Power generation and consumption are directly affected by weather, and the weather variables are fluctuating, which means that generation and consumption also fluctuate. These fluctuations can damage equipment or cause other problems in an electrical network. LÄS MER