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» Using Architectural Models at Runtime: Research Challenges
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CISIS
2009
IEEE
14 years 2 months ago
Strengths and Weaknesses of Maturity Driven Process Improvement Effort
In the recent decades most of the big organizations have adopted maturity driven process improvement efforts (MDPI). Most of these efforts have been inspired of maturity models li...
Asadullah Shaikh, Ashfaq Ahmed, Nasrullah Memon, M...
NN
2000
Springer
170views Neural Networks» more  NN 2000»
13 years 7 months ago
Synthetic brain imaging: grasping, mirror neurons and imitation
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
Michael A. Arbib, Aude Billard, Marco Iacoboni, Er...
CCGRID
2010
IEEE
13 years 5 months ago
Low-Cost Tuning of Two-Step Algorithms for Scheduling Mixed-Parallel Applications onto Homogeneous Clusters
Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. Parallel applications ar...
Sascha Hunold
MOBICOM
2004
ACM
14 years 1 months ago
End-to-end performance and fairness in multihop wireless backhaul networks
Wireless IEEE 802.11 networks in residences, small businesses, and public “hot spots” typically encounter the wireline access link (DSL, cable modem, T1, etc.) as the slowest ...
Violeta Gambiroza, Bahareh Sadeghi, Edward W. Knig...
EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 7 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo