Essays about: "Master Thesis in Computer networks"

Showing result 1 - 5 of 27 essays containing the words Master Thesis in Computer networks.

  1. 1. 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

  2. 2. 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

  3. 3. FPGA implementation of an sEMG classifier

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : William Marnfeldt; [2022]
    Keywords : electromyography; convolutional neural networks; classifier; field programmable gate array; prosthetic hand; Technology and Engineering;

    Abstract : This master’s thesis discusses the implementation of a convolutional neural network on a Field Programmable Gate Array (FPGA). It deals with implementation be describing a tool chain, starting with the designing of a model in Keras, transforming the model to Hardware Descriptive Language, and finally implementing it on an FPGA. READ MORE

  4. 4. Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images

    University essay from Lunds universitet/Matematik LTH

    Author : Maria del Pilar Aguilera Manzanera; [2022]
    Keywords : Melanoma; Skin cancer; Dermatoscopy; Image classification; Machine learning; Artificial intelligence; Convolutional neural networks; Dermatology; Squamous cell carcinoma; Basal cell carcinoma; Actinic keratosis; Computer-aided Diagnostics; Digital dermatology; Technology and Engineering;

    Abstract : The current trends for most fair-skinned populations are that the incidence of melanoma and non-pigmented skin lesions is growing, and this growing trend will continue for the upcoming years. The emergence of deep learning networks and their promising results in solving real-world healthcare problems and improving diagnostic accuracy opens new possibilities. READ MORE

  5. 5. Object detection for autonomous trash and litter collection

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

    Author : Simon Edström; [2022]
    Keywords : Object detection; Trash detection; Machine learning; Pipeline; Artifical neural networks; Deeplearning; Dataset; Preprocessing; Augmentation; Psuedolabel; Tiling; Objektdetektering; Skräpigenkänning; Maskininlärning; Pipeline; Artificiella neurala nätverk; Djupinlärning; Dataset; Förprocessering; Augmentation; Psuedomarkering; Kakling;

    Abstract : Trashandlitter discarded on the street is a large environmental issue in Sweden and across the globe. In Swedish cities alone it is estimated that 1.8 billion articles of trash are thrown to the street each year, constituting around 3 kilotons of waste. One avenue to combat this societal and environmental problem is to use robotics and AI. READ MORE