7 citations · 14 across the 10 of their papers we have counts for
17 papers
Social Media App Usage in Relation with PHQ-9 Depression Scores during the COVID-19 Pandemic
Lena Mulansky, Rüdiger Pryss, Caroline Cohrdes +2
With about 300 million affected people, major depressive disorder (MDD) is one of the most common diseases worldwide. During the COVID-19 pandemic, the number of cases increased ev…
Development Frameworks for Microservice-based Applications: Evaluation and Comparison
Hai Dinh-Tuan, Maria Mora-Martinez, Felix Beierle +1
The microservice architectural style has gained much attention from both academia and industry recently as a novel way to design, develop, and deploy cloud-native applications. Thi…
MS2M: A message-based approach for live stateful microservices migration
Hai Dinh-Tuan, Felix Beierle
In the last few years, the proliferation of edge and cloud computing infrastructures as well as the increasing number of mobile devices has facilitated the emergence of many novel…
Demonstrator Game Showcasing Indoor Positioning via BLE Signal Strength
Felix Beierle, Hai Dinh-Tuan, Yong Wu
For a non-technical audience, new concepts from computer science and engineering are often hard to grasp. In order to introduce a general audience to topics related to Industry 4.0…
Corona Health -- A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic
Felix Beierle, Johannes Schobel, Carsten Vogel +29
Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data…
Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App
Felix Beierle, Uttam Dhakal, Caroline Cohrdes +2
Several governments introduced or promoted the use of contact-tracing apps during the ongoing COVID-19 pandemic. In Germany, the related app is called Corona-Warn-App, and by end o…