Sökning: "framgångsrika nätverk"

Visar resultat 11 - 15 av 62 uppsatser innehållade orden framgångsrika nätverk.

1. 11. Traffic Prediction From Temporal Graphs Using Representation Learning

   Master-uppsats, KTH/Matematisk statistik

   Författare :Andreas Movin; [2021]
   Nyckelord :Dynamic time warping DTW ; embedding; graph convolutional networks GCN ; graph neural networks GNN ; persistent homology; spectral graph theory; temporal graphs; topological data analysis TDA ; Dynamisk time warping DTW ; inbäddning; convolutional grafnätverk GCN ; neurala grafnätverk GNN ; persistent homologi; spektral graf teori; dynamisk graf; topologisk dataanalys TDA ;

   Sammanfattning : With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliability of the network. LÄS MER

3. 12. Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN

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

   Författare :Sofia Nord; [2021]
   Nyckelord :Time Series Data Generation; Generative Adversarial Network; Deep Neural Network; Data Augmentation; Synthetic Data Generation; Generering av Tidsseriedata; Generativa Motstridande Nätverk; Djupa Neurala Nätverk; Dataökning; Syntetisk Datagenerering;

   Sammanfattning : Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. LÄS MER

4. 13. Cross-Functional Team Success Factors : A Case Study at a High-Growth Scale-Up

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :JONATAN AHLQVIST; EDWARD ALPSTEN; [2020]
   Nyckelord :Cross-functional Teams; Organizational Communication; Organizational Culture; Business Stages; Emergent Networks; Stage Setting Elements; Enablers; Team Behavior; Tvärfunktionella Cross-functional team; Organisatorisk kommunikation; Organisationskultur; Företagsstadier; Emergenta Nätverk; Enablers; Gruppbeteende;

   Sammanfattning : In a growing digital economy, the possibilities for newly established companies are immense, and the market for innovative, disruptive products has grown exponentially. In this environment, single-person start-ups exist alongside billion-dollar organizations with thousands of employees. LÄS MER

5. 14. Web-based prototype for protecting controllers from existing cyber-attacks in an industrial control system

   Uppsats för yrkesexamina på grundnivå, KTH/Medicinteknik och hälsosystem

   Författare :Pa Sanyang; [2020]
   Nyckelord :ICS; SCADA; Modbus; Honeypot; Conpot; Cyber attacks; MITM; DoS; Flooding; Reverse proxy server; AWS; ICS; SCADA; Modbus; Honeypot; Conpot; Cyber attacks; MITM; DoS; Flooding; Reverse proxy server; AWS;

   Sammanfattning : Industrial control system or ICS is a critical part of the infrastructure in society. An example of ICS is the rail networks or energy plants like the nuclear plant. SCADA is an ICS system following a hierarchical structure. Due to the fact that a control system can be very large, monitoring remote through networks is an effective way to do so. LÄS MER

7. 15. Spectral Portfolio Optimisation with LSTM Stock Price Prediction

   Master-uppsats, KTH/Matematisk statistik

   Författare :Nancy Wang; [2020]
   Nyckelord :Artificial Neural Network; LSTM; Spectral factor model; Portfolio optimisation; Stock price prediction; Time series analysis; Risk estimation; Spectral risk; Frequency-specific beta decomposition; Artificiella neurala nätverk; LSTM; Spektralfaktormodell; Portföljoptimering; Aktieprispredikering; Tidsserieranalys; Riskestimering; Spektra risk; Frekvensspecifik beta dekomposition;

   Sammanfattning : Nobel Prize-winning modern portfolio theory (MPT) has been considered to be one of the most important and influential economic theories within finance and investment management. MPT assumes investors to be riskaverse and uses the variance of asset returns as a proxy of risk to maximise the performance of a portfolio. LÄS MER