Sökning: "Bayesian networks"

Visar resultat 21 - 25 av 85 avhandlingar innehållade orden Bayesian networks.

  1. 21. Evolution of host repertoires and the diversification of butterflies

    Författare :Mariana Pires Braga; Niklas Janz; Sören Nylin; Fredrik Ronquist; Alexandre Antonelli; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; coevolution; host-parasite interaction; inference; networks; zoologisk ekologi; Animal Ecology;

    Sammanfattning : All herbivorous insects are specialized to some extent to their host plants, but the level of specialization varies greatly. Insect-plant coevolution is often invoked to explain the large diversity of herbivorous insects, but the role of specialization during diversification is still controversial. LÄS MER

  3. 22. Troubleshooting Trucks : Automated Planning and Diagnosis

    Författare :Håkan Warnquist; Patrick Doherty; Jonas Kvarnström; Louise Travé-Massuyès; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automated planning; diagnosis; troubleshooting; automotive systems; Bayesian networks; Markov decision-processes;

    Sammanfattning : This thesis considers computer-assisted troubleshooting of heavy vehicles such as trucks and buses. In this setting, the person that is troubleshooting a vehicle problem is assisted by a computer that is capable of listing possible faults that can explain the problem and gives recommendations of which actions to take in order to solve the problem such that the expected cost of restoring the vehicle is low. LÄS MER

  4. 23. Analyzing Substation Automation System Reliability using Probabilistic Relational Models and Enterprise Architecture

    Författare :Johan König; Lars Nordström; Sebastian Lehnhoff; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reliability analysis; substation automation; Enterprise Architecture; probabilistic analysis; Probabilistic Relational Models; Bayesian networks; software reliability; failure rates; fault tree analysis;

    Sammanfattning : Modern society is unquestionably heavily reliant on supply of electricity. Hence, the power system is one of the important infrastructures for future growth. LÄS MER

  5. 24. Predicting IT Governance Performance : A Method for Model-Based Decision Making

    Författare :Mårten Simonsson; Pontus Johnson; Wim Van Grembergen; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; IT governance; IT governance maturity; IT governance performance; Enter-prise Architecture; Bayesian networks.; Informatics; computer and systems science; Informatik; data- och systemvetenskap;

    Sammanfattning : Contemporary enterprises are largely dependent on Information Technology (IT), which makes decision making on IT matters important. There are numerous issues that confuse IT decision making, including contradictive business needs, financial constraints, lack of communication between business and IT stakeholders and difficulty in understanding the often heterogeneous and integrated IT systems. LÄS MER

  7. 25. Towards Realistic Smart Meter Privacy against Bayesian Inference

    Författare :Ramana Reddy Avula; Tobias J. Oechtering; Daniel Månsson; Mustafa A. Mustafa; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Smart meter privacy; Bayesian inference control; Energy storage model; Data-driven modeling; Privacy-enhancing mechanisms; Hidden Markov models; Co-living household energy dataset; Integritet för smarta elmätare; bayesiansk slutledningskontroll; energilagringsmodell; datadriven modellering; sekretessförbättrande mekanismer; dolda Markov-modeller; samlevande energidataset för hushåll; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Smart meters, now an essential component of modern power grids, allow energy providers to remotely monitor users' energy consumption in near real-time. While this technology offers numerous advantages for energy management and system efficiency, it also poses significant privacy concerns. LÄS MER