There is a great interest in the generation of plausible drone signals in various applications, e.g.for auralization purposes or the compilation of training data for detection algorithms.Here, a methodology is presented which synthesises realistic immission signals based on laboratory recordings and subsequent signal processing.The transformation o
The asymmetric bimodal exponential power (ABEP) distribution is an extension of the generalized gamma distribution to the real line via adding two parameters that fit the shape of peakedness in bimodality on the real line.The special values of peakedness parameters of the distribution are a combination of half Laplace and half normal distributions
ObjectivesIn response to the increasing depth of research and design on liquefied natural gas (LNG) ship structures, higher requirements are put forward for a reliability analysis method that can quickly and accurately evaluate IONIC ADDITIVE ASH uncertain factors.This paper proposes a method based on an improved random forest-Monte Carlo method (R
Purpose.This paper proposes the application procedure of a new metaheuristic technique in a practical electrical power system to solve optimal power flow problems, this technique namely the slime mould algorithm (SMA) which is inspired by the swarming behavior and morphology of slime mould in nature.This study aims to test and verify the effectiven
Abstract Photobiomodulation-based (LLLT) therapies show tantalizing promise for treatment of skin diseases.Confidence in this approach is blighted however by lamentable inconsistency in published IONIC ADDITIVE ASH experimental designs, and so complicates interpretation.Here we interrogate the appropriateness of a range of previously-reported treat