… In this paper, a neurocomputing approach was introduced and implemented for data
approximation and classification. First, an optimized backpropagation network was defined for …

… This paper discusses a neurocomputing system for operational decision support in water
distribution networks. An analog … We refer to the resulting neurocomputing system as CLA/PC. …

… General-purpose parallel machines and neurocomputers that implement a particular
model directly in hardware are much better platforms for neural network applications. $\rm\check …

… The proposed neurocomputer concept is sizeable independently to the applicational domain
in terms of processing power, memory size and flexibility, and is designed for throughputs …

Emotion recognition still poses a challenge lying at the core of the rapidly growing area of
affective computing and is crucial for establishing a successful human–computer interaction. …

Optimization problems often require the use of optimization methods that permit the minimization
or maximization of certain objective functions. Occasionally, the problems that must be …

Recently, there has been a growing volume of literature on the security aspect of wireless
cyber-physical systems (CPS). Remote state estimation through wireless channels is a …

Aim Emotion recognition based on facial expression is an important field in affective computing.
Current emotion recognition systems may suffer from two shortcomings: translation in …

The attribute reduction for big data applications has become an urgent challenge in pattern
recognition, machine learning and data mining. In this paper, we introduce the multi-agent …

This research is concerned with the problem of obstacle avoidance for the underactuated
unmanned marine vessel under unknown environmental disturbance. A concise deep …