Essays about: "classification robustness"

Showing result 1 - 5 of 44 essays containing the words classification robustness.

  1. 1. Object classification in the simulation environment using ultrasonic sensor arrays

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Haoyun Ou; [2022]
    Keywords : Master Thesis; Object Classification; Machine Learning; Ultrasonic; Sensor; Simulation;

    Abstract : With the wide application of machine learning technologies in advanced driver assistance systems of vehicles, object classification on obstacles has attracted much attention. Ultrasonic sensors are mainly used to measure the distance to obstacles under the condition of low-speed movement. READ MORE

  2. 2. Brightest Cluster Galaxies in the Local Universe: Mergers, Interactions and the Implications for Galaxy Evolution

    University essay from Luleå tekniska universitet/Rymdteknik

    Author : Diane Delley; [2022]
    Keywords : Brightest Cluster Gallaxies; BCG; Cosmology; Clusters of Galaxies; Merger; Interaction;

    Abstract : Clusters of Galaxies are amongst the largest gravitationally bound structures in our Universe and consist of thousands of galaxies. It is in these gigantic systems where Brightest Cluster Galaxies (BCGs) are found, the most massive galaxies in our Universe. A BCG, as its name indicates, is the brightest galaxy in a cluster. READ MORE

  3. 3. Deep neural network for object classification and optimization algorithms for 3D positioning in Ultrasonic Sensor Array

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Hui Zhang; [2021]
    Keywords : ultrasonic sensor; simulation; CNN; optimization; localization; object classification;

    Abstract : Ultrasonic sensors are commonly used in automobiles to assist driving maneuvers, e.g., parking, because of their cost-effectiveness and robustness. READ MORE

  4. 4. Evaluating Robustness of a CNN Architecture introduced to the Adversarial Attacks

    University essay from Blekinge Tekniska Högskola

    Author : Shaik Ishak; Anantaneni Jyothsna Chowdary; [2021]
    Keywords : Convolutional Neural Network CNN ; Image classification; Adversarial attacks; Defensive Distillation.;

    Abstract : Abstract: Background: From Previous research, state-of-the-art deep neural networks have accomplished impressive results on many images classification tasks. However, adversarial attacks can easily fool these deep neural networks by adding little noise to the input images. READ MORE

  5. 5. Improving Brain Tumor Segmentation using synthetic images from GANs

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Aashana Nijhawan; [2021]
    Keywords : Image segmentation; Generative Adversarial Networks; GANs; Computer Vision; synthetic images; generator; discriminator; uncertainty estimation; deep neural networks; U-net; PGGAN;

    Abstract : Artificial intelligence (AI) has been seeing a great amount of hype around it for a few years but more so now in the field of diagnostic medical imaging. AI-based diagnoses have shown improvements in detecting the smallest abnormalities present in tumors and lesions. This can tremendously help public healthcare. READ MORE