• Probabilistic properties of the spatial bloom filters and their relevance to cryptographic protocols 

  Calderoni, Luca; Palmieri, Paolo; Maio, Dario (IEEE, 2018-07)

  The classical Bloom filter data structure is a crucial component of hundreds of cryptographic protocols. It has been used in privacy preservation and secure computation settings, often in conjunction with the (somewhat) ...
• Efficient delivery of scalable video using a streaming class model 

  Quinlan, Jason J.; Zahran, Ahmed H.; Sreenan, Cormac J. (MDPI, 2018-03-08)

  When we couple the rise in video streaming with the growing number of portable devices (smart phones, tablets, laptops) we see an ever-increasing demand for high-definition video online while on the move. Wireless networks ...
• Content-aware partial compression for textual big data analysis in Hadoop 

  Dong, Dapeng; Herbert, John (Institute of Electrical and Electronics Engineers (IEEE), 2017-06-29)

  A substantial amount of information in companies and on the Internet is present in the form of text. The value of this semi-structured and unstructured data has been widely acknowledged, with consequent scientific and ...
• An application of belief merging for the diagnosis of oral cancer 

  Kareem, Sameem Abdul; Pozos-Parra, Pilar; Wilson, Nic (Elsevier, 2017-04-18)

  Machine learning employs a variety of statistical, probabilistic, fuzzy and optimization techniques that allow computers to “learn” from examples and to detect hard-to-discern patterns from large, noisy or complex datasets. ...
• Semi-online task assignment policies for workload consolidation in cloud computing systems 

  Armant, Vincent; De Cauwer, Milan; Brown, Kenneth N.; O'Sullivan, Barry (Elsevier B.V., 2018-01-03)

  Satisfying on-demand access to cloud computing infrastructures under quality-of-service constraints while minimising the wastage of resources is an important challenge in data centre resource management. In this paper we ...

View more