Sökning: "examensarbete nätverk"
Visar resultat 21 - 25 av 399 uppsatser innehållade orden examensarbete nätverk.
21. Identification of restoration hotspots in landscape-scale green infrastructure planning based on model-predicted connectivity forest
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Boreal forest landscapes have undergone severe anthropogenic fragmentation and their enormous values concerning, e.g., ecosystem service, biodiversity and culture are hazarded. LÄS MER
22. Jämförelse av tjänstefördelare (CPE:er)
M1-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Denna rapport är baserad utifrån ett examensarbete utfört hos Skellefteå Kraft Fibernät. Syftet var att jämföra ett antal olika modeller av tjänstefördelare och hitta en alternativ CPE till den som idag används. LÄS MER
23. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER
24. Implementation and evaluation of a secure communication solution for drones in a ROS2 network application
M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : In recent time, drones are everywhere. While commercial drones have shown great potential for hobby enthusiasts, it has shown a greater potential in military use and safeguarding. Currently, a significant amount of drones are being used for malicious means, such as espionage and warfare. Because of this, these drones has to be combated. LÄS MER
25. Exploring Normalizing Flow Modifications for Improved Model Expressivity
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Normalizing flows represent a class of generative models that exhibit a number of attractive properties, but do not always achieve state-of-the-art performance when it comes to perceived naturalness of generated samples. To improve the quality of generated samples, this thesis examines methods to enhance the expressivity of discrete-time normalizing flow models and thus their ability to capture different aspects of the data. LÄS MER