… approach for finding a solution that maximizes app users’ overall QoE. We also propose a
heuristic approach for quickly finding sub-optimal solutions to large… and heterogeneous. Users …

… into future wireless networks is … networks by using supervised machine learning, ie, support
vector machines (SVMs), recurrent neural networks (RNNs), convolutional neural networks …

… critical application like disaster management, metadata plays a vital role in identifying …
managing the data sets. The collection and management of metadata for heterogeneous big data …

… network architecture of IoUT is intrinsically heterogeneous … ficial for data scientists, ML
engineers, data analyst, big data … The channel models of wired and wireless networks vary with …

… in heterogeneous wireless networks. In this paper, a queue model is built to formulate the
mobile … For deterministic WiFi connections, a Lagrangian optimization method is proposed to …

… cally distributed data centers for multimedia IIoT big data … energy-efficient wireless networking
in the big data era: A … routing for transparent heterogeneous ad-hoc network by fusion of …

… survey of EL techniques for B5G networks, the main … We provide a general overview of
major ML techniques and … In wireless networks, they are often used in heterogeneous …

… applications that integrate wireless mobile networks has been … referred to as heterogeneous
networks (HetNets). These are … Big data analytics is a key research direction in smart health…

… We focus specifically on tools and techniques that involve the use of big data analytics.
After … There are a lot of heterogeneity in these models but these models are producing good …

… able to handle large-scale heterogeneous data safely and effectively. Ganapathy [12] used
the … group key management and proposed a model of data encryption and secure access in …