Essays about: "Computer networks thesis"

Showing result 1 - 5 of 280 essays containing the words Computer networks thesis.

  1. 1. Importance sampling in deep learning : A broad investigation on importance sampling performance

    University essay from Uppsala universitet/Artificiell intelligens

    Author : Mathias Johansson; Emma Lindberg; [2022]
    Keywords : importance sampling; machine learning; deep learning; computer vision; object detection; image classification; neural networks; training of neural networks;

    Abstract : Available computing resources play a large part in enabling the training of modern deep neural networks to complete complex computer vision tasks. Improving the efficiency with which this computational power is utilized is highly important for enterprises to improve their networks rapidly. READ MORE

  2. 2. Classification and localization of extreme outliers in computer vision tasks in surveillance scenarios

    University essay from KTH/Hälsoinformatik och logistik

    Author : Tariq Daoud; Emanuel Zere Goitom; [2022]
    Keywords : Computer vision; deep learning; machine learning; artificial neural networks; convolutional neural networks; YOLOv4; Datorseende; djupinlärning; maskininlärning; artificiella neurala nätverk; konvolutionella neurala nätverk; YOLOv4;

    Abstract : Convolutional neural networks (CNN) have come a long way and can be trained toclassify many of the objects around us. Despite this, researchers do not fullyunderstand how CNN models learn features (edges, shapes, contours, etc.) fromdata. READ MORE

  3. 3. Benchmarking Object Detection Algorithms for Optical Character Recognition of Odometer Mileage

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Mandus Hjelm; Eric Andersson; [2022]
    Keywords : Computer vision; machine learning; neural networks; object detection; optical character recognition; odometer; transfer learning;

    Abstract : Machine learning algorithms have had breakthroughs in many areas in the last decades. The hardest task, to solve with machine learning, was solving tasks that humans solve intuitively, e.g. understanding natural language or recognizing specific objects in images. READ MORE

  4. 4. Generating Geospatial Trip DataUsing Deep Neural Networks

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Ahmed Alhasan; [2022]
    Keywords : Deep Learning; Machine Learning; Statistics; Generative Adversarial Networks; Computer Science; Generative Models;

    Abstract : Synthetic data provides a good alternative to real data when the latter is not sufficientor limited by privacy requirements. In spatio-temporal applications, generating syntheticdata is generally more complex due to the existence of both spatial and temporal dependencies. READ MORE

  5. 5. Stock Price Prediction Using Machine Learning

    University essay from Södertörns högskola/Nationalekonomi

    Author : Yixin Guo; [2022]
    Keywords : Machine Learning; Stock Price; Time Series Data; Deep Learning;

    Abstract : Accurate prediction of stock prices plays an increasingly prominent role in the stock market where returns and risks fluctuate wildly, and both financial institutions and regulatory authorities have paid sufficient attention to it. As a method of asset allocation, stocks have always been favored by investors because of their high returns. READ MORE