Sökning: "Robust Knowledge Transfer"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Robust Knowledge Transfer.
1. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : 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. LÄS MER
2. Managing Knowledge in Energy Communities : The Importance of Knowledge Sharing for the Development and Upscaling of Energy Communities
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : 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. LÄS MER
3. Methodology Development for Topology Optimization of Power Transfer Unit Housing Structures
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : 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. LÄS MER
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
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
5. A Cross-Validation Approach to Knowledge Transfer for SVM Models in the Learning Using Privileged Information Paradigm
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : 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. LÄS MER
