Essays about: "the more we share ,the more we achieve"
Showing result 6 - 10 of 37 essays containing the words the more we share ,the more we achieve.
-
6. Calle viva, Zona viva
University essay from KTH/StadsbyggnadAbstract : Located in Central America, Guatemala is the most populated country of the area with around 15 million inhabitants. The capital, Guatemala City has 923,000 inhabitants and is currently home for 55% of the country’s urban population. Guatemala City, with its 42% of territorial extension consisting of green, is considered a green capital. READ MORE
-
7. Instagram and sustainability : how Instagram users make sense of their engagement within the sustainability context on the platform
University essay from SLU/Dept. of Urban and Rural DevelopmentAbstract : As mobile technology develops rapidly, social media has become an integral part of human daily life. One of the social media platforms that are popular nowadays is Instagram, the visual photo-sharing platform. Meanwhile, the term of sustainability also become more popular along with the growing awareness toward sustainability issues. READ MORE
-
8. Exploring the Business Value and User Experience of Open Source Health
University essay from Lunds universitet/Ergonomi och aerosolteknologiAbstract : Open source software is becoming more common in software development today and constitutes an increasing share in modern web applications. Open source has many benefits; it is cost-effective and increases development speed, quality, and security. READ MORE
-
9. Project based multi-tenant managed RStudio on Kubernetes for Hopsworks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to fully benefit from cloud computing, services are designed following the “multi-tenant” architectural model which is aimed at maximizing resource sharing among users. However, multi-tenancy introduces challenges of security, performance isolation, scaling and customization. READ MORE
-
10. Random projections in a distributed environment for privacy-preserved deep learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Deep Learning (DL) only over the last decade has proven useful for increasingly more complex Machine Learning tasks and data, a notable milestone being generative models achieving facial synthesis indistinguishable from real faces. With the increased complexity in DL architecture and training data, follows a steep increase in time and hardware resources required for the training task. READ MORE