Month: April 2018

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DEEP Hybrid DataCloud participation in the EOSC-hub Week in Malaga (Spain) on 16-20 April 2018

The first EOSC-hub Week took place on 16-20 April 2018 in Málaga, Spain. The week revolved around two major events: the public daysc and an EOSC-hub “all hands” meeting open only to EOSC-hub partners. The public days, sponsored by the EGI Foundation, the and the XDC project, welcomed the participation of service providers, representatives of […]

DEEP Hybrid DataCloud accepted paper in 9th International Conference on Ambient Systems, Networks and Technologies, May 8-11, 2018, Porto (Portugal)

We are proud to announce that a research paper developed under the Deep Hybrid DataCloud Project has been accepted for inclusion in 9th International Conference on Ambient Systems, Networks and Technologies to be held on 8-11 May 2018 in Porto (Portugal). This paper will be published by Elsevier Science in the open-access Procedia Computer Science […]

DEEP Hybrid DataCloud accepted paper in Data and Knowledge Engineering Journal (Elsevier)

We are proud to announce that a research paper developed under the Deep-Hybrid-DataCloud project has been accepted in the Data and Knowledge Engineering Journal (Elsevier), Available online 12 March 2018. Title: “A heuristics approach to mine behavioural data logs in mobile malware detection system” Authors:  Giang Nguyena, Binh Nguyen b, Dang Tran b, Ladislay Hluchy […]

A set of common software quality assurance baseline criteria for research projects

The purpose of this document is to define a set of quality standards, procedures and best practices to conform a Software Quality Assurance plan to serve as a reference within the European research ecosystem related projects for the adequate development and timely delivery of software products.   http://digital.csic.es/handle/10261/160086  

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777435.

Unless otherwise indicated, all materials created by the DEEP-Hybrid-DataCloud consortium are licensed under a Creative Commons Attribution 4.0 International License.

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