Essays about: "computer networks and the future"

Showing result 1 - 5 of 78 essays containing the words computer networks and the future.

  1. 1. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs

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

    Author : Jakub Reha; [2023]
    Keywords : Graph neural networks; Temporal graphs; Benchmark datasets; Anomaly detection; Heterogeneous graphs; Provenance graphs; Grafiska neurala nätverk; temporala grafer; benchmark-datauppsättningar; anomalidetektering; heterogena grafer; härkomstgrafer;

    Abstract : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. READ MORE

  3. 2. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning

    University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

    Author : David Rydgård; [2023]
    Keywords : Fiber networks; Paperboard mechanics; Deep learning; Tomography; Image analysis; Technology and Engineering;

    Abstract : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. READ MORE

  4. 3. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks

    University essay from Lunds universitet/Fysiska institutionen

    Author : Joyce Cobussen; [2023]
    Keywords : Physics and Astronomy;

    Abstract : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. READ MORE

  5. 4. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Henrik Träff; [2023]
    Keywords : Machine Learning; ML; AI; Computer vision; Vision Transformer; Swin Transformer; U-Net; nnU-Net; Brain Tumor Segmentation; Deep Learning;

    Abstract : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). READ MORE

  6. 5. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Cina Arjmand; [2023]
    Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE