Sökning: "computer"

Visar resultat 16 - 20 av 7731 uppsatser innehållade ordet computer.

  1. 16. Automatic Semantic Segmentation of Indoor Datasets

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Swaroop Rachakonda; [2024]
    Nyckelord :Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

    Sammanfattning : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. LÄS MER

  3. 17. 3D/VR - Data flow visualization

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Sudheer Sujay; [2024]
    Nyckelord :;

    Sammanfattning : This thesis delves into the realm of Virtual Reality (VR) to explore its potential for visualizing data flows in intricate systems. Focused on the transition from conventional 2D representations to immersive 3D experiences, the study employs Unity and Oculus Quest 2 for prototyping. LÄS MER

  4. 18. Probabilistic Exact Inversion of 2-qubit Bipartite Unitary Operations using Local Operations and Classical Communication

    Master-uppsats, KTH/Fysik

    Författare :Ludvig Lindström; [2024]
    Nyckelord :Resource Theory; Resource theory of entanglement; Quantum Information Theory; Quantum Computing; Distributed Quantum Computing; Higher-order quantum transformation; Quantum Algorithms; Quantum Physics; Resursteori; Resursteori för Kvantsammanflätning; Kvantinformationsteori; Kvantdatorer; Distribuerade kvantdatorer; Högre ordningens kvanttransformationer; Kvantalgoritmer; Kvantfysik;

    Sammanfattning : A distributed quantum computer holds the potential to emulate a larger quantumcomputer by being partitioned it into smaller modules where local operations (LO)can be applied, and classical communication (CC) can be utilized between thesemodules. Finding algorithms under LOCC restrictions is crucial for leveraging thecapabilities of distributed quantum computing, This thesis explores probabilisticexact LOCC supermaps, that maps 2-qubit bipartite unitary operations to its inver-sion and complex conjugation. LÄS MER

  5. 19. Data Augmentation for Object Detection using Deep Reinforcement Learning

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Axel Andersson; Nils Hallerfelt; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. LÄS MER

  7. 20. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER