Essays about: "fetch"
Showing result 16 - 20 of 49 essays containing the word fetch.
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16. Chunked DASH in JavaScript
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Chunked DASH is getting attention for reducing otherwise high delay oflive segment streaming but there are a lot of unexplored problems associatedwith it. This master’s thesis investigates the difficulties involved withimplementing a chunked DASH player in the browser with JavaScript. READ MORE
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17. Developing SharePoint add-ins
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Developing a Microsoft SharePoint-based site is, according to marketing, simple and efficient. Efficiency is increased by giving the developer the option to easily add functionality to the site. One way to add functionality is through so called add-ins. READ MORE
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18. Production and management in automatic milking systems
University essay from SLU/Dept. of Animal Nutrition and ManagementAbstract : Different cow traffic systems are used to guide the dairy cows to make them pass the milking unit in automatic milking systems (AMS). Several studies have compared milk production in different cow traffic systems but there were little evidence that one system has a higher production than another. READ MORE
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19. Mobile Devices In the Distributed IoT Platform Calvin
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Development towards a connected world where anything can talk to anything is ongoing. Calvin is a research project at Ericsson that simplifies the development of peer-to-peer applications for the Internet of Things. READ MORE
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20. Troll Detection : A study of source usage between clusters of Twitter tweets todetect Internet trolls
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : The purpose of this study was to examine whether it is possible to detect possibly malicioustweets posted by so-called trolls by inspecting the usage of sources such as url links,hashtags, user mentions and other media between clusters of tweets. This was done byutilizing the latent dirichlet allocation algorithm to find and assign topics to every tweet,clustering the tweets through their topics with the k-means algorithm. READ MORE