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Showing result 16 - 20 of 60 essays matching the above criteria.

  1. 16. Predicting Carbon Dioxide Levels and Occupancy with Machine Learning and Environmental Data

    University essay from Uppsala universitet/Institutionen för elektroteknik

    Author : Giorgi Datunaishvili; Christian Khederchah; Henrik Li; Salazar Kevin; [2022]
    Keywords : Machine Learning; AI; matlab; prediction; environment; data; data science; neural network; sensor; electrical.;

    Abstract : Buildings consume the majority of the world’s energy usage through heating, ventilation and cooling. These elements are not regulated in an efficient and effective manner. Lights and heating are often left in action in empty spaces leading to waste. READ MORE

  3. 17. Flight Sorting Algorithm Based on Users’ Behaviour

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

    Author : Qingyan Ben; [2021]
    Keywords : Ranking systems; recommendation systems; machine learning; deep learning; data balance; Rankningssystem; rekommendationssystem; maskininlärning; djupinlärning; databalans;

    Abstract : The model predicts the best flight order and recommend best flight to users. The thesis could be divided into the following three parts: Feature choosing, data-preprocessing, and various algorithms experiment. READ MORE

  4. 18. Machine learning in predictive maintenance of industrial robots

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

    Author : Simone Morettini; [2021]
    Keywords : Predictive maintenance; Industrial robots; Gaussian process regression; Exponentron; Hybrid algorithms; Time series prediction.; Prediktivt underhåll; Industriella robotar; Gaussian process regression; Exponentron; Hybridalgoritmer; Prediktivt av tidsserier.;

    Abstract : Industrial robots are a key component for several industrial applications. Like all mechanical tools, they do not last forever. The solution to extend the life of the machine is to perform maintenance on the degraded components. READ MORE

  5. 19. The possibility of machine learning algorithms to explain long-run economic growth

    University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Author : Gabriel Ehrnst Grundin; Daniel Helldén; [2021]
    Keywords : Economic Growth; Machine Learning; ; Empirical Econometrics;

    Abstract : The empirical investigation of economic growth has been one of the most researched topics in economics. Most recently, machine learning algorithms that can handle nonlinearities, discontinuities and other issues inherent with traditional linear approaches have been proposed to be able to more accurately describe the empirical determinants of economic growth. READ MORE

  6. 20. Efficient Sampling of Gaussian Processes under Linear Inequality Constraints

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Bayu Beta Brahmantio; [2021]
    Keywords : Gaussian process; truncated multivariate Gaussian; Hamiltonian Monte Carlo; Elliptical Slice Sampling;

    Abstract : In this thesis, newer Markov Chain Monte Carlo (MCMC) algorithms are implemented and compared in terms of their efficiency in the context of sampling from Gaussian processes under linear inequality constraints. Extending the framework of Gaussian process that uses Gibbs sampler, two MCMC algorithms, Exact Hamiltonian Monte Carlo (HMC) and Analytic Elliptical Slice Sampling (ESS), are used to sample values of truncated multivariate Gaussian distributions that are used for Gaussian process regression models with linear inequality constraints. READ MORE