Since its formal introduction to IP networks in 1993 as a viable complementary approach for
congestion control, there has been a steady stream of research output with respect to Active …

Together with the disruptive development of modern sub-symbolic approaches to artificial
intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more …

We present the theory and design of interval type-2 fuzzy logic systems (FLSs). We propose
an efficient and simplified method to compute the input and antecedent operations for …

We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The
implementation of this type-2 FLS involves the operations of fuzzification, inference, and …

Edge computing is based on the philosophy that the data should be processed within the
locality of its source. Edge computing is entering a new phase where it gains wide …

The next generation in mobility management will enable different mobile networks to
interoperate with each other to ensure terminal and personal mobility and global portability …

Federated Learning is a distributed, privacy-preserving machine learning model that is
gaining more attention these days. Federated Learning has a vast number of applications in …

Intelligent congestion control is vital for encoded video streaming of a clip or film, as network
traffic volatility and the associated uncertainties require constant adjustment of the bit rate …

We present an approach for MPEG variable bit rate (VBR) video modeling and classification
using fuzzy techniques. We demonstrate that a type-2 fuzzy membership function, ie, a …

This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …