Essays about: "Data-driven modelling"

Showing result 11 - 15 of 37 essays containing the words Data-driven modelling.

  1. 11. Search for Higgs-like bosons through optimization of top-quark modelling

    University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

    Author : Rafael Antonio Lopez; [2021]
    Keywords : ttbar; top quark modelling; BSM; 2HDM S; Higgs-like bosons; ATLAS; HWW; XSh; top estimation; top remodelling; Physics and Astronomy;

    Abstract : Accurate estimations of background processes associated with top-quarks are vital to studies concerned with finding new physics at the Large Hadron Collider (LHC)at CERN. Search for Higgs-like bosons in the ATLAS experiment at LHC was performed by optimising the use of b-jet tagging algorithms and improving on tt backgroundmodelling. READ MORE

  3. 12. Deep learning for non-intrusive sensing in turbulence with passive scalars

    University essay from KTH/Strömningsmekanik och Teknisk Akustik

    Author : Arivazhagan Geetha Balasubramanian; [2021]
    Keywords : Turbulent boundary layer; passive scalar; direct numerical simulation; Prandtl number; Machine learning; convolutional neural network; Turbulent gränsskikt; passiv skalär; direkt numerisk simulering; Prandtl-nummer; maskininlärning; faltningsneurala nätverk;

    Abstract : The near-wall modelling of turbulent flows has been an active field of research due to the computational cost associated with the direct numerical simulations of such flow, which are characterized by a wide range of length and time scales. With the recent advancements in technological capabilities, the availability of high-fidelity data has enabled the construction of data-driven approaches to model turbulence. READ MORE

  4. 13. Investigating the Attribution Quality of LSTM with Attention and SHAP : Going Beyond Predictive Performance

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Hannes Kindbom; [2021]
    Keywords : Digital marketing; Attribution modelling; Multi-touch attribution; Deep learning; LSTM; SHAP; Attention; Interpretability; Digital marknadsföring; Attributionsmodellering; Multi-touch attribution; Djupinlärning; LSTM; SHAP; Attention; Tolkningsbarhet;

    Abstract : Estimating each marketing channel’s impact on conversion can help advertisers develop strategies and spend their marketing budgets optimally. This problem is often referred to as attribution modelling, and it is gaining increasing attention in both the industry and academia as access to online tracking data improves. READ MORE

  5. 14. Wavebender GAN : Deep architecture for high-quality and controllable speech synthesis through interpretable features and exchangeable neural synthesizers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustavo Teodoro Döhler Beck; [2021]
    Keywords : Mel-spectrogram; Speech Synthesis; Wavebender GAN; HiFi-GAN; Control- lability; Interpretability; Low-level Signal Properties; Mel-spektrogram; Talsyntes; Wavebender GAN; HiFi-GAN; Kontrollerbarhet; Tolkbarhet; Signalegenskaper På Låg Nivå;

    Abstract : Modeling humans’ speech is a challenging task that originally required a coalition between phoneticians and speech engineers. Yet, the latter, disengaged from phoneticians, have strived for evermore natural speech synthesis in the absence of an awareness of speech modelling due to data- driven and ever-growing deep learning models. READ MORE

  6. 15. Adapting a data-driven battery ageing model to make remaining-useful-life estimations using dynamic vehicle data

    University essay from KTH/Kemiteknik

    Author : Viraj Phatarphod; [2021]
    Keywords : Lithium-ion battery; Cyclic ageing; Data-driven model; Remaining-useful-life; Dynamic data; Data structuring; Litiumjonbatteri; Cykliskt åldrande; Datadriven modell; Återstående livslängd; Dynamiska data; Datastrukturering;

    Abstract : Transportsektorn är en av världens största producenter av växthusgas därav är dess avkarbonisering essentiell för att uppnå Parisavtalets mål för CO2-emissioner. Ett viktigt steg för att uppnå dessa mål utförs genom elektrifiering. Litium-jon-batterier (eng. READ MORE