Scientific Publications

New publication: “A Cloud-Based Framework for Machine Learning Workloads and Applications”

We are thrilled to announce that we have published a new paper entitled “A Cloud-Based Framework for Machine Learning Workloads and Applications” on IEEEXplore. The paper, that is published as Open Access and can be downloaded downloaded following its doi: 10.1109/ACCESS.2020.2964386, is authored by Álvaro López García, Jesús Marco de Lucas, Marica Antonacci, Wolfgang Zu … Continue reading New publication: “A Cloud-Based Framework for Machine Learning Workloads and Applications”

New publication: “An information-centric approach for slice monitoring from edge devices to clouds”

We are thrilled to announce that we have published a new paper entitled “An information-centric approach for slice monitoring from edge devices to clouds” on Elsevier Procedia Computer Science. The paper, that is published as Open Access and can be downloaded downloaded following its doi:10.1016/j.procs.2018.04.046, is authored by Binh Minh Nguyen, Huan Phan, Duong Quang … Continue reading New publication: “An information-centric approach for slice monitoring from edge devices to clouds”

New publication: “A multivariate fuzzy time series resource forecast model for clouds using LSTM and data correlation analysis”

We are thrilled to announce that we have published a new paper entitled “A multivariate fuzzy time series resource forecast model for clouds using LSTM and data correlation analysis” on Elsevier Procedia Computer Science. The paper, that is published as Open Access and can be downloaded downloaded following its doi:10.1016/j.procs.2018.07.298, is authored by Nhuan Tran, … Continue reading New publication: “A multivariate fuzzy time series resource forecast model for clouds using LSTM and data correlation analysis”

New publication: “Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey”

We are thrilled to announce that we have published a new paper entitled “Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey” on the Springer Artificial Intelligence Review Journal. The paper, that is published as Open Access and can be downloaded following its doi: 10.1007/s10462-018-09679-z, is authored by Giang Nguyen, Stefan Dlugolinsky, … Continue reading New publication: “Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey”

DEEP Hybrid DataCloud accepted paper in 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), Sep 3-5, 2018, Belgrade, Serbia

We are proud to announce that a research paper developed under the Deep Hybrid DataCloud Project has been accepted for inclusion in 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018) to be held on 3-5 September 2018, in Belgrade (Serbia). This paper will be published by Elsevier Science in the open-access … Continue reading DEEP Hybrid DataCloud accepted paper in 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), Sep 3-5, 2018, Belgrade, Serbia

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

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