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