Current weightless classifiers require historical data to model a system and make prediction about a system successfully. Historical data either is not always available or does not take a recent system modification into consideration. For this reason an adaptive filter is designed, which when employed with a weightless classifier enables system model, difficult to characterise system model, and...

This paper addresses the possible use of virtual neural sensors, implemented by means of weightless systems, as active or reactive sensors. The latter, made possible by the intrinsic characteristic of weightless systems that can be trained on–line. These virtual neural sensors have been adopted for actual applications in different domains.

Computability of weightless neural networks is the major topic of this paper. In previous works it has been shown that, one can simulate a Turing machine with a weightless neural network (WNN) with an infinite tape. And it has also been shown that one can simulate probabilistic automata with a WNN with two queues. In this paper, we will show that is possible to simulate a probabilistic automata...

1. ABSTRACT This paper describes the structure and behavior of a system, composed by a set of weightless artificial neural networks, which is capable of learning different images and then reconstructing an image according to the closest learned pattern. This paper presents a technique which considers Hamming distance for pattern learning and reconstruction, therefore it is posible to study the ...

In this paper we describe how future office environments can benefit from the addition of weightless walls—virtual, sound blocking walls created using headsets. We particularly focus on exploring how different interaction techniques can be employed to efficiently create, erase, or edit the layouts of these walls, and envisioning how they could impact the overall office experience. Metaphoricall...

A supervised learning algorithm for quantum neural networks (QNN) based on a novel quantum neuron node implemented as a very simple quantum circuit is proposed and investigated. In contrast to the QNN published in the literature, the proposed model can perform both quantum learning and simulate the classical models. This is partly due to the neural model used elsewhere which has weights and non...

Mimicking biological neurons by focusing on the excitatory/inhibitory decoding performed by the dendritic trees is a different and attractive alternative to the integrate-and-fire McCullogh-Pitts neuron stylisation. In such alternative analogy, neurons can be seen as a set of RAM nodes addressed by Boolean inputs and producing Boolean outputs. The shortening of the semantic gap between the syna...

1.1 Definitions Preterm birth (PTB) refers to the birth of a baby that occurs before 37 completed weeks of gestation. PTB can be further sub-categorized as late preterm delivery34 to 36 completed weeks gestation, moderately preterm32 to 34 completed weeks, very pretermless than 32 weeks, and extremely pretermless than 28 weeks gestation (Lockwood, et al., 2011). Preterm birth can also be define...