Owing to their simple construction, cost effectiveness, and high thermal efficiency, pulsating heat pipes (PHPs) are growing in popularity as cooling devices for electronic equipment. While PHPs can be very resilient passive systems, operation relies on the establishment persistence of slug/plug flow dominant regime. It is, therefore, paramount predict regime accurately a function various opera...

The development of reduced-order combustion models able to accurately reproduce the physics reactive systems has been a highly challenging aspect numerical research in recent past. complexity problem can be reduced by identifying and using low-dimensional manifolds account for turbulence-chemistry interactions. Recently, Principal Components Analysis (PCA) shown its potential reducing dimension...

Flow cytometric immunophenotyping remains an indispensable tool for the diagnosis, classification, staging, and monitoring of hematologic neoplasms. The last 10 years have seen advances in flow cytometry instrumentation and availability of an expanded range of antibodies and fluorochromes that have improved our ability to identify different normal cell populations and recognize phenotypic aberr...

Application recognition appears to be an important task for a large number of applications in security and traffic engineering. Well-known port numbers can no longer be used to reliably identify network applications. There is a variety of new Internet applications that either do not use wellknown port numbers or use other protocols, such as HTTP, as wrappers in order to go through firewalls wit...

The main goal of the presented work is to analyse the performance of the Multi-Layer Perceptron (MLP) neural network for flow regime classification based on sets of simulated Electrical Capacitance Tomography (ECT) data. Normalised ECT data have been used to separately train several MLPs employing various commonly used back-propagation learning algorithms, namely the Levenberg-Marquardt (LM), Q...