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In previous works, we proposed two methods for data clustering based on automatically discovered fuzzy predicates which were referred to as SOM-based Fuzzy Predicate Clustering (SFPC) [Meschino et al., Neurocomputing, 14...

In recent years, the advancement of artificial intelligence techniques has led to significant interest in reinforcement learning (RL) within the traffic and transportation community. Dynamic traffic control has emerged a...

A source of entangled photons based on well-separated laser pump pulses (PDs) with a duration in the nanosecond range may be useful in many applications. Yet, such a source has intrinsic problems arising from the simulta...

Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...

Abstract Introduction Evoked compound action potentials (ECAPs) are neurophysiological biomarkers of neural activation during spinal cord stimulation (SCS). Clear distinction between ECAPs and nonphysiological signals is...

Abstract Background Opportunities for social connection between generations in the UK have diminished over the last few decades because of changes in the way that we live and work. The decline in communal spaces such as ...

Abstract Electric cable shovel (ECS) is a complex production equipment, which is widely utilized in open-pit mines. Rational valuations of load is the foundation for the development of intelligent or unmanned ECS, since ...

ObjectivesTimely administration of appropriate antimicrobial therapy is critical for sepsis management, yet conventional antimicrobial susceptibility testing (AST) methods typically provide results within 24–48 hours a...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...

Abstract The remaining useful life (RUL) prediction of mechanical products has been widely studied for online system performance reliability, device remanufacturing, and product safety (safety awareness and safety improv...

Abstract A selective and eco-friendly spectrophotometric approach was developed for the quantitative determination of entacapone (ENT) in the presence of its co-formulated drugs carbidopa (CAR) and levodopa (LEV) which e...

Formulation of the problem. In scientific research in sociology, education, physics, chemistry and other sciences, methods of correlation analysis are used. Correlation coefficients are used to determine the existence of...

The standard method for spectrum analysis is the Discrete Fourier Transform(DFT), typically implemented using a Fast Fourier Transform (FFT) algorithm. However, certain applications require an on-line spectrum analysis o...

Abstract Background The objective of this in vitro study was to assess the anti-biofilm efficacy of super-oxidized water and ozonated water, activated through various methods, against Enterococcus faecalis (E. faecalis) ...

Arc fault, especially series arc fault, has been the primary cause of electrical fire, which is intermittent, hidden, random and uncertain, difficult to detect, and serious harm. The characteristics of arc fault are firs...

Foram comparados dois métodos não-invasivos de medida da pressão arterial, o Doppler vascular e o oscilométrico, com o objetivo de estabelecer parâmetros que possam auxiliar no diagnóstico seguro da hipertensão ar...