Essays about: "computer systems thesis"

Showing result 6 - 10 of 737 essays containing the words computer systems thesis.

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

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

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

    Abstract : 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. READ MORE

  3. 7. Blockchain-based e-voting system without digital ID: A Proof-of-Concept

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Leonard Schick; [2024]
    Keywords : Computer science; Cryptography; Crypto; Blockchain; Distributed systems; e-voting; electronic voting; Ethereum; Hyperledger; Hyperledger besu; Decentralization; Datavetenskap; Kryptografi; Blockkedja; Distribuerade system; e-röstning; Elektronisk röstning; Blinda signaturer; Ethereum; Hyperledger Besu; Decentralisering;

    Abstract : Electronic voting systems have the potential to offer a cost effective, secure and transparent way of communicating with the citizens, increasing trust and participation. However creating a secure open source electronic voting system providing confidentiality and transparency with sufficient performance has long been a challenge. READ MORE

  4. 8. DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR ANOMALY DETECTION IN A MODULAR MANUFACTURING ENVIRONMENT

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Hana Hodzic; [2023]
    Keywords : ;

    Abstract : This thesis investigates anomaly detection and classification in a simulated modular manufacturingenvironment using Machine Learning algorithm Random Forest. This algorithm is tested on a localcomputer and an embedded device, specifically the Raspberry PI. READ MORE

  5. 9. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

    University essay from Lunds universitet/Matematik LTH

    Author : Marcus Ascard; Farjam Movahedi; [2023]
    Keywords : 3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

    Abstract : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. READ MORE

  6. 10. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness

    University essay from Linköpings universitet/Datorseende

    Author : Daniel Bladh; [2023]
    Keywords : Deep Learning; Computer Vision; Monocular; SLAM; Depth Estimation;

    Abstract : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. READ MORE