Essays about: "User segmentation"
Showing result 16 - 20 of 70 essays containing the words User segmentation.
-
16. Strollers specifically designed for a circular economy : Why the future paradigm will pose new demands on products and how to fulfil them
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Today´s traditional linear production and consumption model fronted by cheap wear and tear products is problematic in terms of sustainability and has to make the transition to a more circular model. As evident from previous projects and pilots, simply taking the shortcut and solely changing the business model (often by leasing instead of selling the exact same products as before) is not sufficient enough in order to meet the demands that come as a consequence of the new business model. READ MORE
-
17. Which Door Leads to Product Success in the Hotel Market? An Investigation of the Product Launch and Market Segmentation of a New Product Development
University essay from Lunds universitet/ProduktionsekonomiAbstract : .... READ MORE
-
18. Next generation expedition stove : A lead user approach to product development
University essay from KTH/Maskinkonstruktion (Avd.)Abstract : In 1996 Primus launched their expedition stove Multifuel, the first stove that could run on liquified petroleum gas (LPG), white gas, kerosene and aviation fuel. The multi-fuel stoves are part of the Primus expedition range of equipment. The line was designed and built to perform in extreme conditions. READ MORE
-
19. Estimation of Red Blood Cell-Count using Neural Networks
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikAbstract : Quantification through image analysis is used in a multitude of fields, and often requires algorithms tailored to the specific task and object that needs to be quantified. The need for flexibility means that such segmentation algorithms are quickly becoming outdated with the advent of convolutional neural networks, which can be trained to fit the specific requirements of the user. READ MORE
-
20. Adaptable Semi-Automated 3D Segmentation Using Deep Learning with Spatial Slice Propagation
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Even with the recent advances of deep learning pushing the field of medical image analysis further than ever before, progress is still slow due to limited availability of annotated data. There are multiple reasons for this, but perhaps the most prominent one is the amount of time manual annotation of medical images takes. READ MORE