Robustness of Representative Signals Relative to Data Loss Using Atlas-Based Parcellations
Sign Up to like & getrecommendations! Published in 2018 at "Brain Topography"
DOI: 10.1007/s10548-018-0647-6
Abstract: Parcellation-based approaches are an important part of functional magnetic resonance imaging data analysis. They are a necessary processing step for sorting data in structurally or functionally homogenous regions. Real functional magnetic resonance imaging datasets usually… read more here.
Keywords: representative signals; relative data; robustness representative; signals relative ... See more keywords
Representing and querying now-relative relational medical data
Sign Up to like & getrecommendations! Published in 2018 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2018.01.004
Abstract: Temporal information plays a crucial role in medicine. Patients' clinical records are intrinsically temporal. Thus, in Medical Informatics there is an increasing need to store, support and query temporal data (particularly in relational databases), in… read more here.
Keywords: medicine; querying relative; relative data; relative relational ... See more keywords
Exploiting the Vulnerability of Relative Data Alignment in Phasor Data Concentrators to Time Synchronization Attacks
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DOI: 10.1109/tsg.2019.2957150
Abstract: In this paper, we formulate an attack on the relative data alignment scheme used by Phasor Data Concentrators (PDCs) to aggregate and stream phasor measurements. This attack leverages the specification governing the PDC functionality in… read more here.
Keywords: data concentrators; phasor data; attack; relative data ... See more keywords