With cloud computing, big data, artificial intelligence and other new information technologies
going into space, the era of space intelligence is coming. The spacecraft is facing more …

The present study introduces a novel approach employing weightless neural networks
(WNN) for the detection and diagnosis of visual faults in photovoltaic (PV) modules. WNN …

Abstract This work examines Fault Detection and Diagnosis (FDD) based on Weightless
Neural Networks (WNN) with applications in univariate and multivariate dynamic systems …

Open set recognition is, more than an interesting research subject, a component of various
machine learning applications which is sometimes neglected: it is not unusual the existence …

The novelty of this paper revolves around monitoring the condition of nitrogen-filled tires
through the fusion of features and utilization of weightless neural networks. A tire pressure …

This paper explores two new weightless neural network models, Regression WiSARD and
ClusRegression WiSARD, in the challenging task of predicting the total palm oil production …

Abstract The Internet of Things was born from the proliferation of connected objects and is
known as the third era of information technology. It results in the availability of a huge …

Clustering is a powerful and versatile tool for knowledge discovery, able to provide a
valuable information for data analysis in various domains. To perform this task based on …

Random Access Memory (RAM) nodes can play the role of artificial neurons that are
addressed by Boolean inputs and produce Boolean outputs. The weightless neural network …

Enhancing the operational efficiency of centrifugal pumps across diverse industries
necessitates a meticulous approach to fault diagnosis. This study presents an innovative …