Towards Automatic Parallelization of Stream Processing Applications
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2855064
Abstract: Parallelizing and optimizing codes for recent multi-/many-core processors have been recognized to be a complex task. For this reason, strategies to automatically transform sequential codes into parallel and discover optimization opportunities are crucial to relieve… read more here.
Keywords: processing applications; framework; stream processing; towards automatic ... See more keywords
Towards Automatic and Fast Annotation of Seismocardiogram Signals Using Machine Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2019.2951068
Abstract: The automatic annotation of Seismocardiogram (SCG) potentially aid to estimate various cardiac health parameters continuously. However, the inter-subject variability of SCG poses great difficulties to automate its accurate annotation. The objective of the research is… read more here.
Keywords: machine; annotation seismocardiogram; scg signals; annotation ... See more keywords
Towards Automatic Detection of Nonfunctional Sensitive Transmissions in Mobile Applications
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2020.2992253
Abstract: While mobile apps often need to transmit sensitive information out to support various functionalities, they may also abuse the privilege by leaking the data to unauthorized third parties. This makes us question: Is the given… read more here.
Keywords: detection nonfunctional; sensitive transmissions; towards automatic; automatic detection ... See more keywords