Avancerad sökning
Hittade 2 uppsatser som matchar ovanstående sökkriterier.
1. Performance analysis of SwiftUI and UIKit : A comparison of CPU time and memory usage for common user interface elements
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In today's digital era, smartphones have evolved into an important part of our daily routine, thereby raising the bar for high-quality applications that deliver premium user experiences. In this landscape, UIKit and SwiftUI have emerged as two noteworthy user interface frameworks in the realm of iOS development, with UIKit having a longstanding foothold and SwiftUI displaying newer declarative coding style. LÄS MER
2. Impact of using different brain layer amounts on the accuracy of Convolutional Neural networks trained on MR-Images to identify Parkinson's Disease
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Parkinson’s Disease (PD) is a neurodegenerative disease and brain disorder which affects the motor system and leads to shaking, stiffness, impaired balance and coordination. Diagnosing PD from Magnetic resonance images (MR-images) is difficult and often not possible for medical experts and therefore Convolutional neural networks (CNNs) are used instead. LÄS MER
