The ability to detect lung cancer has led better health outcomes. Deep learning techniques are widely used in the medical field tumors at an early stage. models such as U-Net, Efficient-Net, Resnet, VGG-16, etc. have been incorporated various studies accurately. To enhance detection performance, this work proposes algorithm that combines U-Net and Efficient-Net neural networks for nodule segmen...

The differential between on-net and off-net prices, for example on mobile telephony networks, is hotly debated between telecoms operators and regulators. Small operators contend that their competitors’ high off-net prices are anticompetitive. We show that if the utility of receiving calls is taken into account, the equilibrium pricing structures will indeed depend on firms’ market shares. Large...

Recent study of cell lineage of multi-cellular organism such as C. elegans shows us that cell-cell interaction and localization of gene products take very important role in the development of early embryo [3]. In order to describe such multi-cellular processes, we extend the software tool Genomic Object Net [2, 4] in which we enhanced the hybrid parametrized functional Petri net (HPFPN) model t...

The pH, alkalinity, and acidity of mine drainage and associated waters can be misinterpreted because of the chemical instability of samples and possible misunderstandings of standard analytical method results. Synthetic and field samples of mine drainage having various initial pH values and concentrations of dissolved metals and alkalinity were titrated by several methods, and the results were ...

In November of 2004 the Repast Organization for Architecture and Design [ROAD, 2005] released a new version of the Repast agent-based modeling framework, which provided numerous updates to the framework and also introduced three components of Repast itself: Repast J (an update to the Repast framework in Java), Repast Py (an update to the SimBuilder tool), and Repast .NET [North, Collier, Vos, N...

We introduce P2P-NET, a general-purpose deep neural network which learns geometric transformations between point-based shape representations from two domains, e.g., meso-skeletons and surfaces, partial and complete scans, etc. The architecture of the P2P-NET is that of a bi-directional point displacement network, which transforms a source point set to a target point set with the same cardinalit...

The power of Petri nets resides on the availability of several tools for analysis and verification of properties of systems. Users have to combine the functionality of tools in different applications to take their advantages and overcome their disadvantages in order to solve complex problems that can't be solved using a single tool. This combination is difficult, because each tool has its own P...

This article presents several diierent kinds of Petri nets, together with computer tools based on them, and compares possibilities of their application in the area of simulation and modelling. Place/transition Petri nets, stochastic Petri nets, hierarchical coloured Petri nets and nally object oriented Petri nets are mentioned here. As for the tools, Design/CPN, TimeNET, LOOPN++ and PNtalk are ...