Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

Building energy management systems (BEMSs) monitor and control the heating ventilation
and air conditioning (HVAC) of buildings in addition to many other building systems and …

The conventional computing method based on the von Neumann architecture is limited by a
series of problems such as high energy consumption, finite data exchange bandwidth …

The random neural network (RNN) is a recurrent neural network model inspired by the
spiking behaviour of biological neuronal networks. Contrary to most artificial neural network …

Accurate localization for wireless sensor end devices is critical, particularly for Internet of
Things (IoT) location-based applications such as remote healthcare, where there is a need …

Global Positioning Systems (GPS) are frequently used as a potential solution for localization
applications. However, GPS does not work indoors due to a lack of direct Line-of-Sight …

In this paper, a novel random neural network (RNN) controller is proposed to maintain a
comfortable indoor environment in a single storey residential building having four rooms …

The reinforcement learning scheme proposed in Halici (1977)(Halici, U., 1997. Journal of
Biosystems 40 (1/2), 83–91) for the random neural network (Gelenbe, E., 1989b. Neural …

Presents a simple continuous analog hardware realization of the random neural network
(RNN) model. The proposed circuit uses the general principles resulting from the …

In the last two decades, researchers have really been embracing the idea of G-networks with
negative arrivals and the relevant product form solution including nonlinear traffic equations …