Machine learning is gaining popularity in the commercial world, but its benefits are yet to be well-utilised by many in the microfluidics community.There is immense potential in bridging the gap between applied engineering and artificial intelligence as well as statistics.We illustrate this by a case study investigating jug the sorting of sperm cel
An multi-polar fuzzy set is a robust mathematical model to examine multipolar, multiattribute, and multi-index data.The multi-polar fuzzy sets was created as a useful mechanism Jacket to portray uncertainty in multiattribute decision making.In this article, we consider the theoretical applications of multi-polar fuzzy sets.We present the notion of
The protective reliability of Moringa oleifera (MO), Chrysophyllum caimito (CC), and Camellia sinensis (CS) oil distillates was examined in H2SO4 and HCl solutions.The data showed that MO and CC performed effectively in H2SO4 at 81.3% and 93% compared to CS at 76.5%.CC and CS performed more effectively in HCl at 92.7% and 93% compared to MO at 78.2
The mean-variance (MV) portfolio is typically formulated as a quadratic programming (QP) problem that linearly combines the conflicting objectives of minimizing the risk and maximizing the expected return through a risk aversion profile parameter.In this formulation, the two objectives are expressed in different units, an issue that could definitel
Over the last century, humans from industrialized societies have witnessed a radical increase in some dental diseases.A severe problem concerns the loss of dental materials (enamel and dentine) at the buccal cervical region of the tooth.This "modern-day" pathology, called non-carious cervical lesions (NCCLs), is ubiquitous and worldwide spread, but