With the emergence of 4k/8k video, the throughput requirement of video delivery will keep
grow to tens of Gbps. Other new high-throughput and low-latency video applications …

This survey paper describes the significant literature survey of Sustainable Smart Cities
(SSC), Machine Learning (ML), Data Mining (DM), datasets, feature extraction and selection …

Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

A useful approach to increase the lifetime of wireless sensor networks is clustering.
Exchange of messages due to successive and recurrent reclustering burdens the sensor …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Due to the growing impact of the information and communications technology (ICT) sector
on electricity usage and greenhouse gas emissions, telecommunication networks require …

Traffic classification is considered an important research area due to the increasing demand
in network users. It not only effectively improve the network service identifications and …

Wireless sensor networks, generally, are grouped into clusters to collect information
effectively. Such grouping of nodes helps immensely to elongate the life of Wireless Sensor …

Real-time classification of internet traffic is critical for the efficient management of networks.
Classification approaches based on machine learning techniques have shown promising …

Embedding neural network (NN) models in the data plane is one of the very promising and
attractive ways to leverage the computational power of computer network switches. This …