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Strategies for Comparing Metabolic Profiles: Implications for the Inference of Biochemical Mechanisms from Metabolomics Data

Large amounts of metabolomics data have been accumulated in recent years and await analysis. Previously we had developed a systems biological approach to infer biochemical mechanisms underlying metabolic alterations observed in Continue reading

Balancing Dependability Quality Attributes for Increased Embedded Systems Dependability

Embedded systems are used in many critical applications where a failure can have serious consequences. Therefore, achieving a high level of dependability is an ultimate goal. However, in order to achieve this goal we are in Continue reading

Streamlining Search User Interfaces on the Smartphone: An Experimental Study of Comparing Different GUI Versions of Karolinska Institutet’s Search Solution

The presentation of the search result information has become more important ever since the rapid development and use of smartphones. This thesis investigated what makes search engine result pages Continue reading

An Analysis of Failure-Related Energy Waste in a Large-Scale Cloud Environment

Cloud computing providers are under great pressure to reduce operational costs through improved energy utilization while provisioning dependable service to customers; it is therefore extremely important to Continue reading

Improving the Search Mechanism for Unstructured Peer-to-Peer Networks Using the Statistical Matrix Form

In a traditional file search mechanism, such as flooding, a peer broadcasts a query to its neighbors through an unstructured peer-to-peer (P2P) network until the time-to-live decreases to zero. A major disadvantage of Continue reading

GPU-Accelerated Visualization of Scattered Point Data

As data sets continue to grow in size, visualization has become a vitally important tool for extracting meaningful knowledge. Scattered point data, which are unordered sets of point coordinates with Continue reading

Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-Grained Benchmark, and Feature Evaluation

When a new bug report is received, developers usually need to reproduce the bug and perform code reviews to find the cause, a process that can be tedious and time consuming. A tool for ranking all the source files with respect to Continue reading

Large Iterative Multitier Ensemble Classifiers for Security of Big Data

This paper introduces and investigates large iterative multitier ensemble (LIME) classifiers specifically tailored for big data. These classifiers are very large, but are quite easy to generate and use. They can be so large that it makes sense to Continue reading