Essays about: "Extreme Learning Machines"

Showing result 1 - 5 of 13 essays containing the words Extreme Learning Machines.

  1. 1. Uncertainty Analysis : Severe Accident Scenario at a Nordic Nuclear Power Plant

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Josefin Hedly; Mikaela De Young; [2023]
    Keywords : Nuclear power plant; microdata analysis; Random Forest; k-Nearest Neighbor; SVM;

    Abstract : Nuclear Power Plants (NPP) undergo fault and sensitivity analysis with scenario modelling to predict catastrophic events, specifically releases of Cesium 137 (Cs-137). The purpose of this thesis is to find which of 108 input-features from Modular Accident Analysis Program (MAAP)simulation code are important, when there is large release of Cs-137 emissions. READ MORE

  3. 2. AI Trained to Predict Thresholds of 2D Ellipse Percolation Systems

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

    Author : Nirav Surajlal; [2021]
    Keywords : Low-dimensional Nanomaterials; Percolation Threshold; Machine Learning; Regression; Two-dimensional Heterogeneous Ellipse System; Lågdimensionella nanomaterial; Perkolering Tröskel; Maskininlärning; Regression; Tvådimensionellt Heterogent Ellipssystem;

    Abstract : Percolation theory is a relevant area of research in Nanotechnology because of its wide applications in nanoelectronics based on thin films of nanoparticles and composites, amongst others. In nanotechnology, systems are often explored through modelling and simulations. READ MORE

  4. 3. Machine Learning in Electricity Load Forecasting of Prosumer Buildings

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

    Author : Lu Zhao; [2021]
    Keywords : ;

    Abstract : Short-term load forecasting plays a key role in energy optimizations such as peaking shaving and cost arbitrage. Forecasting the aggregated load of a city or region has been researched for years and produced accurate results with time lead ranging from an hour to a week. READ MORE

  5. 4. Imbalanced Learning and Feature Extraction in Fraud Detection with Applications

    University essay from KTH/Numerisk analys, NA

    Author : Martin Jacobson; [2021]
    Keywords : Fraud; Fraud Detection; Imbalanced Learning; Feature Extraction; Extreme Learning Machines; ELM; Machine Learning; ML; Bedrägeri;

    Abstract : This thesis deals with fraud detection in a real-world environment with datasets coming from Svenska Handelsbanken. The goal was to investigate how well machine learning can classify fraudulent transactions and how new additional features affected classification. READ MORE

  6. 5. Object Detection with Real-Time Context Adaptation

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

    Author : Arvind Hariraman; [2021]
    Keywords : ;

    Abstract : Visual object detection based on Convolutional Neural Networks (CNNs) isquickly becoming an essential component of many Augmented Reality (AR) applications.Despite of the impressive performance, these state-of-the-art systemshave one obvious weakness: they do not have capability to learn at run-time,from the visual appearance of the target object in a particular test video. READ MORE