Sökning: "Komplexa nätverk"

Visar resultat 1 - 5 av 246 uppsatser innehållade orden Komplexa nätverk.

  1. 1. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Eddie Nevander Hellström; Johan Slettengren; [2023]
    Nyckelord :;

    Sammanfattning : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. LÄS MER

  3. 2. An Evaluation of Artificial Neural Networks as an alternative to Example-Based Crowd Simulation

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Malte Blomqvist; Morris Hansing; [2023]
    Nyckelord :;

    Sammanfattning : In the ever-developing field of crowd simulation several different algorithms have been proposed to enable data-driven simulations: methods using real-life data to generate realistic pedestrian movements. With different use-cases and trade-offs it is vital to understand the particulars of each approach. LÄS MER

  4. 3. Implicit Message Integrity Provision : In Heterogeneous Vehicular Systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Paul Molloy; [2023]
    Nyckelord :Privacy; Code Generation; Vehicle-to-infrastructure; Vehicular ad hoc Networks; Standardization; Remote Procedure Calls; Safety; Integritet; Kodgenerering; Fordon-till-infrastruktur; Ad hoc-nät för Fordon; Standardisering; Samtal om fjärrprocedur; Säkerhet;

    Sammanfattning : Vehicles on the road today are complex multi-node computer networks. Security has always been a critical issue in the automotive computing industry. It is becoming even more crucial with the advent of autonomous vehicles and driver assistant technology. There is potential for attackers to control vehicles maliciously. LÄS MER

  5. 4. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Chenzhou Huang; [2023]
    Nyckelord :Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Sammanfattning : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. LÄS MER

  7. 5. Development and Implementation Strategies Towards a Comprehensive YANG Model-Based Configuration Data Generation Tool

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Alma Garpenfeldt; Linus Silfver Shahparastan; [2023]
    Nyckelord :YANG modeling language; Configuration management; Network management; Template-based configuration; NETCONF protocol; YANG-modelleringsspråk; Konfigurationshantering; Nätverkshantering; Mall-baserad konfiguration; NETCONF-protokoll;

    Sammanfattning : Effective management and operation of modern networks heavily rely on efficient network configuration management and infrastructure. Manual configuration management has been proven inefficient, and there is a need to automatize it. LÄS MER