Probabilistic Boolean Networks have been proposed for estimating the
beh...
The ability to direct a Probabilistic Boolean Network (PBN) to a desired...
Gene regulatory networks represent collections of regulators that intera...
We apply a learning classifier system, XCSI, to the task of providing pe...
The Electric Vehicles (EVs) market has seen rapid growth recently despit...
In this paper we describe the application of a Deep Reinforcement Learni...
We propose a set of optimization techniques for transforming a generic A...
In this paper we describe the application of a learning classifier syste...
Critical cascades are found in many self-organizing systems. Here, we ex...
One of the barriers for the adoption of electric vehicles (EVs) is the a...
n this paper, we present a survey of deep learning approaches for cyber ...
Neuronal network computation and computation by avalanche supporting net...
The Internet of Vehicles (IoV), whereby interconnected vehicles communic...
The fifth generation of mobile networks (5G) promises a range of new
cap...
This article discusses how the gap between early 5G network threat
asses...
The brain is a highly reconfigurable machine capable of task-specific
ad...
Rolling out a new security mechanism in an organisation requires plannin...
Probabilistic Boolean Networks (PBNs) were introduced as a computational...
Steering a complex system towards a desired outcome is a challenging tas...
We propose the use of structured natural language (English) in specifyin...