In fields such as finance, medicine, engineering, and science, making real-time predictions during transient periods characterized by sudden and large changes is a hard challenge for machine learning. Humans keep memory of these transient events, abstractly learn the most relevant rules and reuse them when similar events occur, which stems from episodic memory that allows storage and recall of similar ...

Biological data is often visualized using networks. However, these networks face problems such as information overload, high interconnectivity, and high dimensionality. Existing approaches try to solve these problems by reducing the interactivity in favor of presenting more information or by using expensive hardware. This thesis aims to solve them using Virtual Reality (VR) and the Oculus Quest, an ...

CRDTs (Conflict-free Replicated Data Types) have properties desirable for large-scale distributed systems with variable network latency or transient partitions. With CRDT, data are always available for local updates and data states converge when the replicas have incorporated the same updates. Undo is useful for correcting human mistakes and for restoring system-wide invariant violated due to long ...

Online web services that store fitness and health related data is evolving to provide useful services to end-users. Examples of this include RunKeeper, Fitbit and MS HealthVault. These services interconnect creating an ecosystem of online web services. The services they provide are mainly targeted for the consumer marked. However, professional sport clubs may potentially benefit from integrating ...

Like other fundamental abstractions for energy-efficient com- puting, search trees need to support both high concurrency and fine- grained data locality. However, existing locality-aware search trees such as ones based on the van Emde Boas layout (vEB-based trees), poorly support concurrent (update) operations while existing highly-concurrent search trees such as the non-blocking binary search ...

\textit{Diabetes} is a disease defined by raised blood glucose levels, and people with the disorder have to adhere to a strict self-management regime to avoid short- and long-term complications. Today the World Health Organization reports that over 420 million people have diabetes, and the condition is one of the most common causes of death worldwide. This thesis presents the design and ...

Research institutions and funding agencies are increasingly adopting open-data science, where data is freely available or available under some data sharing policy. In addition to making publication efforts easier, open data science also promotes collaborative work using data from various sources around the world. While the research datasets are often static and immutable, the metadata of a file ...

In recent years, social network providers has become one of the largest industries in the world. These networks created a new arena for sharing information over the Internet, and thus changed the way people interact with each other. Hundreds of millions of social network users are updating statuses and sending messages to each other every day. These interactions produce vast amounts of social data. ...

This chapter introduces and discusses a novel “health-energy nexus under pandemic uncertainty” concept that arises as a consequence of the current pandemic that we are experiencing worldwide. In light of the pandemic implications on the power and energy systems, we discuss how the global health conditions are tightly connected with the energy consumption needs and how the two areas closely interact ...