Essays about: "Robust Knowledge Transfer"

Showing result 1 - 5 of 6 essays containing the words Robust Knowledge Transfer.

  1. 1. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Emil Brynielsson; [2023]
    Keywords : Image segmentation; Foreground segmentation; Background Segmentation; Remote guidance;

    Abstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE

  2. 2. Managing Knowledge in Energy Communities : The Importance of Knowledge Sharing for the Development and Upscaling of Energy Communities

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Annie Albåge Pettersson; Josefin Danielsson; [2022]
    Keywords : Energy Community; Knowledge Sharing; Quadruple Helix Model; Knowledge Management; Energigemenskaper; Kunskapsdelning; Quadruple Helix Innovation Model; Knowledge Management;

    Abstract : The transition toward a robust, resource-effective, and renewable energy system faces many challenges. The demand for electricity is expected to rapidly increase over the coming years due to the electrification of society resulting in a need for more transmission capacity in the grid. READ MORE

  3. 3. Methodology Development for Topology Optimization of Power Transfer Unit Housing Structures

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Povendhan Palanisamy; [2020]
    Keywords : Topology Optimization; Design interpretability; Housing structure; Design Volume; Response Functions and Parameters; Topologioptimering; designtolkbarhet; husstruktur; designvolym; svarsfunktioner och parametrar;

    Abstract : Simulation driven design is a method and process that has been developed over many years, and with today’s advanced software, the possibility to embed simulation into the design process has become a reality. The advantages of using simulation driven design in the product development process is well known and compared to a more traditional design process, the simulation driven design process can give the user the possibility to explore, optimize and design products with reduced lead time. READ MORE

  4. 4. Deep Learning for Sea-Ice Classification on Synthetic Aperture Radar (SAR) Images in Earth Observation : Classification Using Semi-Supervised Generative Adversarial Networks on Partially Labeled Data

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

    Author : Francesco Staccone; [2020]
    Keywords : Earth Observation; Classification; Deep Learning; Convolutional NeuralNetworks; Semi-Supervised Learning; GenerativeAdversarialNetworks; Jordobservation; Klassificering; Djupinlärning; IhopveckladeNeurala Nätverk; Halvövervakad Inlärning; Generativa Fientliga Nätverk;

    Abstract : Earth Observation is the gathering of information about planet Earth’s system via Remote Sensing technologies for monitoring land cover types and their changes. Through the years, image classification techniques have been widely studied and employed to extract useful information from Earth Observation data such as satellite imagery. READ MORE

  5. 5. A Cross-Validation Approach to Knowledge Transfer for SVM Models in the Learning Using Privileged Information Paradigm

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Fabian Söderdahl; [2019]
    Keywords : Support Vector Machines; Learning Using Privileged Information; Knowledge Transfer; Robust Knowledge Transfer;

    Abstract : The learning using privileged information paradigm has allowed support vector machine models to incorporate privileged information, variables available in the training set but not in the test set, to improve predictive ability. The consequent introduction of the knowledge transfer method has enabled a practical application of support vector machine models utilizing privileged information. READ MORE