Essays about: "Monitored Neural Networks"

Showing result 1 - 5 of 11 essays containing the words Monitored Neural Networks.

  1. 1. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

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

    Author : Christopher Gauffin; [2023]
    Keywords : Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

    Abstract : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. READ MORE

  3. 2. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning

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

    Author : Emma Lind; [2022]
    Keywords : Machine Learning; Self-supervised learning; Feature extraction; Parkinson’s Disease; Magnetoencephalography; Electroencephalogram; Maskininlärning; Självlärande inlärning; Särdragsextraktion; Parkinsons sjukdom; Magnetoencefalografi; Elektroencefalografi;

    Abstract : Parkinson’s disease (PD) is one of the most common neurodegenerative brain disorders, commonly diagnosed and monitored via clinical examinations, which can be imprecise and lead to a delayed or inaccurate diagnosis. Therefore, recent research has focused on finding biomarkers by analyzing brain networks’ neural activity to find abnormalities associated with PD pathology. READ MORE

  4. 3. A Statistical and Machine Learning Approach to Air Pollution Forecasts

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Simon Carlén; [2022]
    Keywords : Air pollution forecasts; neural networks; linear regression; time series analysis; nitrogen dioxide;

    Abstract : In today’s world, where air pollution has become a ubiquitous problem, city air is normally monitored. Such monitoring can produce large amounts of data, and this enables the development of statistical and machine learning techniques for modeling and forecasting air quality. READ MORE

  5. 4. Predicting network performancein IoT environments using LSTM

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Wietze Schelhaas; [2020]
    Keywords : ;

    Abstract : There are still many problems that need to be solved with Internet of Things (IoT) technology, one of them being performance assurance. To ensure a certain quality of service in an IoT environment, the network has to be monitored and actively measured. READ MORE

  6. 5. Automatic identification of northern pike (Exos Lucius) with convolutional neural networks

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Axel Lavenius; [2020]
    Keywords : Northern pike; Esox Lucius; population monitoring; Convolutional Neural Network; CNN; VGG-network; semantic segmentation; image classification; pattern recognition; Gädda; Esox Lucius; populationsmätning; faltande neuralt nätverk; CNN; VGG-nätverk; semantisk segmentering; bildigenkänning; mönsterigenkänning;

    Abstract : The population of northern pike in the Baltic sea has seen a drasticdecrease in numbers in the last couple of decades. The reasons for this are believed to be many, but the majority of them are most likely anthropogenic. READ MORE