Sökning: "real-world network data"

Visar resultat 26 - 30 av 186 uppsatser innehållade orden real-world network data.

1. 26. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Vijay Jayaraman; [2023]
   Nyckelord :time-series prediction; time-series histogram analysis; Convolution Neural Network CNN ; Autoencoder; Weibull Time-to-Event WTTE ; Recurrent Neural Network RNN ; Engine turbo charger failure prediciton;

   Sammanfattning : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. LÄS MER

3. 27. Synthesis of Neural Networks using SAT Solvers

   Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Ludvig Warpe; August Johnson Palm; [2023]
   Nyckelord :Neural networks; Boolean satisfiability problems; SAT solvers;

   Sammanfattning : Artificial neural networks (ANN) have found extensive use in solving real-world problems in recent years, where their exceptional information processing is the main advantage. Facing increasingly complex problems, there is a need to improve their information processing. LÄS MER

4. 28. How to Estimate Local Performance using Machine learning Engineering (HELP ME) : from log files to support guidance

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :Hugo Ekinge; [2023]
   Nyckelord :Machine learning; GRU; 1D-CNN; Transformer; log analysis; parameter estimation; regression; performance monitoring; deep learning; troubleshooting; support; Maskininlärning; GRU; 1D-CNN; Transformer; logganalys; parameteruppskattning; regression; prestandaövervakning; djupinlärning; felsökning; support;

   Sammanfattning : As modern systems are becoming increasingly complex, they are also becoming more and more cumbersome to diagnose and fix when things go wrong. One domain where it is very important for machinery and equipment to stay functional is in the world of medical IT, where technology is used to improve healthcare for people all over the world. LÄS MER

5. 29. Exploring IoT Security Threats and Forensic Challenges: A LiteratureReview and Survey Study

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Abdulrahman Al Allaf; Waseem Totonji; [2023]
   Nyckelord :Internet of Things; IoT security; IoT threats; IoT attacks; Digital forensics; IoT forensic; IoT forensic challenges; Cloud forensics; Network forensics;

   Sammanfattning : Internet of Things (IoT) devices have increased rapidly in recent years, revolutionizing many industries, including healthcare, manufacturing, and transportation, and bringing benefits to both individuals and industries. However, this increase in IoT device usage has exposed IoT ecosystems to numerous security threats and digital forensic challenges. LÄS MER

7. 30. Convolutional-LSTM for IGBTs Prognostics and Age Monitoring : Designing a neural network for predicting aging precursors in power devices

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

   Författare :Matteo Santoro; [2023]
   Nyckelord :Neural Networks; Igbt; Prognostics; Age Monitoring; Neurala Nätverk; Igbt; Prognostik; Övervakning av Ålder;

   Sammanfattning : In recent years, extensive research efforts have been dedicated to the field of prognostics and age-related degradation, with major focus on higher complexity devices. However, relatively little attention has been given to power devices, such as Insulated Bipolar Gate Transistors (IGBTs), despite their critical role in high power electronic applications. LÄS MER