Sökning: "time margin"
Visar resultat 11 - 15 av 355 uppsatser innehållade orden time margin.
11. Estimation of respiratory frequency from Heart Rate Variability
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : In this master's thesis the ability to estimate the respiratory frequency from heart rate variability measurement is analyzed. The goal was to implement a solution that is easily transferable to real time. LÄS MER
12. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging
Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationSammanfattning : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. LÄS MER
13. Analysis and time calculations of NC files : Time calculation of Nailing Bridge machine movements
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Randek is a company that develops machines. The machines are used to build prefabricated houses. They have developed a CNC machine called Nailing Bridge that creates house walls. One of their issues is that they must predict the time it takes to build a wall because their customers need to know how long it takes to deliver their house. LÄS MER
14. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. LÄS MER
15. The effect of model calibration on noisy label detection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The advances in deep neural networks in recent years have opened up the possibility of using image classification as a valuable tool in various areas, such as medical diagnosis from x-ray images. However, training deep neural networks requires large amounts of annotated data which has to be labelled manually, by a person. LÄS MER