ML-based Phishing URL (MLPU) detectors serve as the first level of defence to protect users and organisations from being victims phishing attacks. Lately, few studies have launched successful adversarial attacks against specific MLPU raising questions on their practical reliability usage. Nevertheless, robustness these systems has not been extensively investigated. Therefore, security vulnerabi...

Fused filament fabrication (FFF), an additive manufacturing process, is emerging technology with issues in the uncertainty of mechanical properties and quality printed parts. The consideration all main interaction effects when changing print parameters not efficiently feasible, due to existing stochastic dependencies. To address this issue, a machine learning method developed increase reliabili...

BACKGROUND Diagnostic ultrasound provides a method of analysing soft tissue structures of the musculoskeletal system effectively and reliably. The aim of this study was to evaluate within and between session reliability of measuring muscle dorso-plantar thickness, medio-lateral length and cross-sectional area, of the abductor hallucis muscle using two different ultrasound machines, a higher end...

Human error plays a crucial role in the majority of critical railway events. In the past the focus was set mainly on technical developments in order to improve safety. Operators were more and more replaced by technical systems to enhance safety. The corresponding shift from active physical work towards supervision tasks changed the requirements on humans and their working environment needed to ...

The embryonics project proposes a family of cellular architectures with reconfiguration properties inspired by the ontogenesis of multicellular organisms. This paper proposes reliability models for the MICTREE embryonic architecture. The models are used to analyse the reliability of MICTREE arrays with different combinations of spare cells. The methodology followed to attain the models can be u...

System reliability depends on inherent mechanical and structural aging factors as well as on operational and environmental conditions, which could enhance (or smoothen) such factors. In practice, the involved dependences may burden the modeling of the reliability behavior over time, in which traditional stochastic modeling approaches may likely fail. Empirical prediction methods, such as suppor...

The Large Hadron Collider (LHC) will incorporate a large amount of superconducting elements that require protection in case of a quench. Key elements in the quench protection system are the electronic quench detectors. Their reliability will have an important impact on the down time as well as on the operational cost of the collider. The expected rates of both false and missed quenches have bee...

In this paper, the authors employed machine learning techniques, specifically, Back propagation trained neural network (BPNN), Group method of data handling (GMDH), Counter propagation neural network (CPNN), Dynamic evolving neuro–fuzzy inference system (DENFIS), Genetic Programming (GP), TreeNet, statistical multiple linear regression (MLR), and multivariate adaptive regression splines (MARS),...