Sökning: "move prediction"

Visar resultat 11 - 15 av 32 uppsatser innehållade orden move prediction.

  1. 11. Towards Automatic and Systematic Compressor Model Selection Based on Measurement Data

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Henrik Holmberg; [2021]
    Nyckelord :;

    Sammanfattning : Centrifugal compressors are mechanical devices that move and compress gas and are used in a wide range of applications. To get as much efficiency out of the compressors as possible, high demandsare put on having good compressor models. LÄS MER

  3. 12. Supervised Learning for Prediction of Tumour Mutational Burden

    Master-uppsats, KTH/Matematisk statistik

    Författare :Joanna Hargell; [2021]
    Nyckelord :Supervised Learning; Tumour Mutational Burden; Generalized Linear Models; Decision trees; Support Vector Machines; statistik; tillämpad matematik; statistisk inlärning; mutationsbörda;

    Sammanfattning : Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. LÄS MER

  4. 13. A Fabry–Pérot Cavity for Rare-Earth-Ion-Doped Nanocrystals

    Kandidat-uppsats, Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionen

    Författare :Andre Nüsslein; [2019]
    Nyckelord :Quantum Computer; Rear Earth Ions; Cavity; Laser; Cavity Quantum Electrodynamics; QED; Solidworks; Physics and Astronomy;

    Sammanfattning : This thesis work contributes to the effort of detecting single rare earth ions doped into crystals, an operation crucial for the development of rare earth quantum computer hardware. Doping crystals with rare earth elements, their trivalent ions substitute some of the crystal’s original bonds. LÄS MER

  5. 14. Decoding Electrocorticography Signals by Deep Learning for Brain-Computer Interface

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Guillaume JUBIEN; [2019]
    Nyckelord :Deep learning; BCI; ECoG; Spatial filtering;

    Sammanfattning : Brain-Computer Interface (BCI) offers the opportunity to paralyzed patients to control their movements without any neuromuscular activity. Signal processing of neuronal activity enables to decode movement intentions. Ability for patient to control an effector is closely linked to this decoding performance. LÄS MER

  7. 15. Trajectory-based Arrival Time Prediction using Gaussian Processes : A motion pattern modeling approach

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sebastian Callh; [2019]
    Nyckelord :machine learning; gaussian processes; spatio-temporal data; motion patterns; arrival times;

    Sammanfattning : As cities grow, efficient public transport systems are becoming increasingly important. To offer a more efficient service, public transport providers use systems that predict arrival times of buses, trains and similar vehicles, and present this information to the general public. LÄS MER