Essays about: "Djupt neurala nätverk"

Showing result 1 - 5 of 21 essays containing the words Djupt neurala nätverk.

  1. 1. Neural Network-Based Residential Water End-Use Disaggregation

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

    Author : Cajsa Pierrou; [2023]
    Keywords : Residential water end-use; Flow disaggregation; Time series classification; Artificial neural network; Smart water meter; Slutanvändning av vatten i hushåll; Flödesdisaggregering; Tidsserieklassificering; Artificiella neurala nätverk; Smart vattenmätare;

    Abstract : Sustainable management of finite resources is vital for ensuring livable conditions for both current and future generations. Measuring the total water consumption of residential households at high temporal resolutions and automatically disaggregating the sole signal into classified end usages (e.g. READ MORE

  3. 2. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection

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

    Author : Maira Khan; [2023]
    Keywords : CT scan; electrode peaks; jelly roll; keypoints; structural deformation; traditional computer vision; deep neural network; CT-skanning; elektrodtoppar; gelérulle; nyckelpunkter; strukturell deformation; Traditionellt datorseende; djupt neuralt nätverk;

    Abstract : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. READ MORE

  4. 3. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios

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

    Author : Matteo Ferrini; [2022]
    Keywords : 5G; Channel Estimation; Sparse Linear Inverse Problem; Approximate Message Passing; Neural Networks; 5G; kanaluppskattning; sparsamt linjärt inversproblem; approximativ meddelandeöverföring; neurala nätverk;

    Abstract : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. READ MORE

  5. 4. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario

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

    Author : Hairuo Gao; [2022]
    Keywords : Participatory sensing; Data trustworthiness assessment; Anomaly detection; Traffic prediction; Deep neural network; Deltagande avkänning; Bedömning av uppgifternas tillförlitlighet; Upptäckt av anomalier; Trafikprognoser; Djupt neuralt nätverk;

    Abstract : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. READ MORE

  6. 5. Building and Training a Fully Connected Deep Neural Network From Scratch

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

    Author : Axel Berglund; [2022]
    Keywords : Deep Neural Network; Machine Learning; Gradient Decent; MNIST.;

    Abstract : Artificial Neural Networks make up the core of mostMachine Learning algorithms. In the past decade Machine learninghave successfully taken on fields such as image recognition,Data analytics and medical technologies. READ MORE