Sökning: "Computational Complexity"

Visar resultat 16 - 20 av 347 uppsatser innehållade orden Computational Complexity.

  1. 16. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks

    Master-uppsats, Lunds universitet/Fysiska institutionen

    Författare :Joyce Cobussen; [2023]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. LÄS MER

  3. 17. Building Information Modeling Connection Recommendation Based on Machine Learning Using Multimodal Information

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

    Författare :Zixin Zhou; [2023]
    Nyckelord :Building information modeling; Tekla Structures; Connection; Classification; Machine learning; Multimodal data fusion;

    Sammanfattning : Den ökande komplexiteten i byggprojekt ger upphov till behovet av ett effektivt sätt att designa, hantera och underhålla strukturer. Byggnadsinformationsmodellering (BIM) underlättar dessa processer genom att tillhandahålla en digital representation av fysiska strukturer. LÄS MER

  4. 18. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration

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

    Författare :Xuechun Lu; [2023]
    Nyckelord :Missing data handling; Rough set reduction; FAVC Set; ID3; Saknade datahantering; Rough set reducering; FAVC Set; ID3;

    Sammanfattning : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. LÄS MER

  5. 19. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications

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

    Författare :Jonas Cederberg; [2023]
    Nyckelord :Lumped Parameter Thermal Network; Resistance-Capacitance model; Parameter estimation; Modelling of Dynamical Systems; Thermal modelling; Temperature Prediction; Termiskt nätverk med klumpade parametrar; Mostånds-kapacitans modell; Parameterestimering; Modellering av dynamiska system; Termisk modellering; Temperaturprediktion.;

    Sammanfattning : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. LÄS MER

  7. 20. ESPRIT for DOA estimation

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Filip Grimsholm; Martin Saarmann; [2023]
    Nyckelord :ESPRIT; FMCW; DOA; radar; estimation; comparison; ESPRIT; FMCW; DOA; radar; estimering; jämförelse;

    Sammanfattning : Radar is a tool that has had a tremendous impact since its discovery. This thesis evaluates an algorithm called ESPRIT. ESPRIT is used in radar to estimate the angles to detected objects. The angle of an object is referred to as its DOA (Direction of arrival). LÄS MER