… This can be solved by applying our machine learning framework. Specifically, the active
beam solution serves as the output of the predictive model. By assuming a line of sight (LOS) …

… machine learning algorithms on the widely adopted Apache Mahout framework and the
recently introduced GraphLab framework… of various cloud computing frameworks, this work …

… An enhanced intrusion detection framework for securing network layer of cloud computing.
In Proceedings of the ISEA Asia Security and Privacy (ISEASP), Surat, India, 29 January–1 …

… Our work is focused in frameworks, toolkits, libraries that allow large-scale, distributed …
with machine learning at large [1], which contains both presentations of general frameworks for …

… cloud computing, machine learning and security in IoT/IIoT/cybertwin/edge/mist/fog/SDN etc.
The survey defined … trends in machine learning techniques for integrated cloud computing …

… In this paper, an E-Learning framework based on cloud computing is presented, namely …
cloud framework - a generic E-Learning framework based on cloud computing. In BlueSky …

… Currently, machine learning in cloud computing plays a pivotal … Diagnosis systems based
on machine learning act as … whereas cloud-based systems can support telehealth services and …

… growth in the scale of Machine Learning and Data Mining (… of Cloud computing services
like Amazon EC2 provide the promise of on-demand access to affordable large-scale computing …

… Cloud computing is now considered a common computing model among … Cloud computing
services [4] focused on scientific users. However, even if Cloud and its related services had …

… In this paper, a novel cloud computing framework is presented with machine learning (ML) …
This cloud framework has been developed by using MapReduce, HBase, and Hadoop …