Essays about: "Gaussian Process regression"

Showing result 1 - 5 of 52 essays containing the words Gaussian Process regression.

  1. 1. Prediction of industrial machine failure by analysing anomalies

    University essay from Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskap

    Author : Md Abdur Rahman Akash; [2022]
    Keywords : ;

    Abstract : The sudden downtime and unplanned maintenance not only drastically increase the maintenance cost but also decreases the production capacity for the manufacturer industries. This is because the machines on these industries fail suddenly and totally stop the production as the machine should be fixed by maintenance before it can run again. READ MORE

  2. 2. Prediction of flue gas properties using artificial intelligence : Application of supervised machine learning by utilization of Near-Infrared Spectroscopy on solid biofuels

    University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Author : Bashe Abdirahman Hussein; Emran Samimi; [2022]
    Keywords : Artificial Intelligence; Machine learning; Near-Infrared spectroscopy; Solid biofuels; Fuel element; Flue gas composition; CCS;

    Abstract : This degree project studies implementation and comparison of different AI models to predict (1) solid biofuel elements including carbon, hydrogen, nitrogen, and oxygen as well as moisture content, ash content, and higher heating value (HHV) of the fuel and (2) flue gas compositions such as concentration of carbon dioxide, carbon monoxide, nitrogen, nitrogen oxides, and water content using near-infrared spectroscopy and chemometric approaches. The study executes these predictions by simulating the operation of a combined heat and power plant (CHP) that is equipped with carbon capture and storage (CCS). READ MORE

  3. 3. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds

    University essay from Lunds universitet/Matematik LTH

    Author : Seamus Doyle; Gustav Nilsson; [2022]
    Keywords : LiDAR; Semantic Segmentation; Neural Networks; RandLA-NET; 3D Point Cloud; Gaussian Process Regression; Robust Locally Weighted Regression; CARLA; Ground Model; Technology and Engineering;

    Abstract : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. READ MORE

  4. 4. Investigation of Machine Learning Regression Techniques to Predict Critical Heat Flux

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Emil Helmryd Grosfilley; [2022]
    Keywords : Critical Heat Flux; Machine Learning; Regression; Neural Network; nu-Support vector regression; Gaussian Process regression; Transfer Learning;

    Abstract : A unifying model for Critical Heat Flux (CHF) prediction has been elusive for over 60 years. With the release of the data utilized in the making of the 2006 Groeneveld Lookup table (LUT), by far the largest public CHF database available to date, data-driven predictions on a large variable space can be performed. READ MORE

  5. 5. Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Lasse Harkort; [2022]
    Keywords : dissolved organic carbon; machine learning; remote sensing; inland waters; water quality; open source data; Earth and Environmental Sciences;

    Abstract : This thesis presents the first attempt to estimate Dissolved Organic Carbon (DOC) in inland waters over a large-scale area using satellite data and machine learning (ML) methods. Four ML approaches, namely Random Forest Regression (RFR), Support Vector Regression (SVR), Gaussian Process Regression (GPR), and a Multilayer Backpropagation Neural Network (MBPNN) were tested to retrieve DOC using a filtered version of the recently published open source AquaSat dataset with more than 16 thousand samples across the continental US matched with satellite data from Landsat 5, 7 and 8 missions. READ MORE