Sökning: "Survey Quality Prediction"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Survey Quality Prediction.

1. 1. Snow depth measurements and predictions : Reducing environmental impact for artificial grass pitches at snowfall

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Findlay Forsblom; Lars Petter Ulvatne; [2020]
   Nyckelord :artificial grass; rubber granulate pollution; snow depth measurement; snow level prediction; temperature index; energy index; energy balance model; machine learning; python; random forest; ultrasonic sensor; infrared sensor; lorawan; pycom lopy4; micro python; arduino uno; web application; javascript; node.js;

   Sammanfattning : Rubber granulates, used at artificial grass pitches, pose a threat to the environment when leaking into the nature. As the granulates leak to the environment through rain water and snow clearances, they can be transported by rivers and later on end up in the marine life. Therefore, reducing the snow clearances to its minimum is of importance. LÄS MER

3. 2. How does social media marketing affect mobile game companies’ brand equity in China?

   Kandidat-uppsats, Jönköping University/Internationella Handelshögskolan

   Författare :Lingyu Ye; Mingze Gao; [2020]
   Nyckelord :Social media marketing; Brand equity; Mobile gaming; Chinese consumer market;

   Sammanfattning : Background: The widespread use of social media has offered brands a great opportunity to engage with their customers and promote sales. In China’s mobile gaming market, the huge user base of social media marketing provides companies with an excellent opportunity to develop their brand image and cultivate further awareness. LÄS MER

4. 3. Direct multispectral photogrammetry for UAV-based snow depth measurements

   Master-uppsats, KTH/Geoinformatik

   Författare :Kathrin Maier; [2019]
   Nyckelord :Unmanned Aerial Vehicles UAV ; snow depth; direct photogrammetry; multispectral imagery; cryosphere;

   Sammanfattning : Due to the changing climate and inherent atypically occurring meteorological events in the Arctic regions, more accurate snow quality predictions are needed in order to support the Sámi reindeer herding communities in northern Sweden that struggle to adapt to the rapidly changing Arctic climate. Spatial snow depth distribution is a crucial parameter not only to assess snow quality but also for multiple environmental research and social land use purposes. LÄS MER

5. 4. Customer Churn Predictive Heuristics from Operator and Users' Perspective

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för kommunikationssystem

   Författare :CHANDIRI MOUNIKA REDDY; [2016]
   Nyckelord :Churn Prediction; Data mining; Telecommunication;

   Sammanfattning : Telecommunication organizations are confronting in expanding client administration weight as they launch various user-desired services. Conveying poor client encounters puts client connections and incomes at danger. One of the metrics used by telecommunications companies to determine their relationship with customers is “Churn”. LÄS MER

7. 5. Methods of high-dimensional statistical analysis for the prediction and monitoring of engine oil quality

   Master-uppsats, KTH/Matematisk statistik

   Författare :Fredrik Berntsson; [2016]
   Nyckelord :;

   Sammanfattning : Engine oils fill important functions in the operation of modern internal combustion engines. Many essential functions are provided by compounds that are either sacrificial or susceptible to degradation. The engine oil will eventually fail to provide these functions with possibly unrepairable damages as a result. LÄS MER