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Smart Thermodynamic Modeling with Graph Neural Networks
Embark on a cutting-edge journey with our project that harnesses the power of Graph Neural Networks to estimate pure-component parameters of the state-of-the-art Equation of State, ePC-SAFT. We aim to empower users to leverage this robust equation without the need for prior experimental data, revolutionizing the calculation of thermodynamic properties and enhancing process simulations. FeOS is used for the PC-SAFT calculations. The estimated parameters can be used in DWSIM and Aspen HYSYS...
That project aims at providing a clean API, and the corresponding C++ implementation, for the basis of Airline IT Business Object Model (BOM), ie, to be used by several other Open Source projects, such as RMOL, Air-Sched, Travel-CCM, OpenTREP, etc.
AirTSP is also named AirTSP (TSP standing for Travel Service Provider).
That project aims at providing a clean API and a simple implementation,
as a C++ library, of an Airline Schedule Management System. It is intended
to be used in simulated environments only: it is not designed to work
in the real-world of Airline IT operations.
AirTSP/AirTSP makes an extensive use of existing open-source libraries
for increased functionality, speed and accuracy. In particular the
Boost (C++...
That project aims at providing a clean API and a simple implementation, as a C++ library, of an Airline-related Inventory Management system. That library uses the Standard Airline IT C++ object model (http://sf.net/projects/stdair).
Picsart Enterprise Background Removal API for Stunning eCommerce Visuals
Instantly remove the background from your images in just one click.
With our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
That project aims at studying the impact of IT systems interactions on traveller demand and airline revenues. Passenger demand is generated (Monte Carlo) and injected into simulated CRS and airline IT systems. Differential analysis is then performed on various changes compared to a bottom line scenario.
That project aims at delivering a reference implementation of a library, estimating and serving average prices paid for air travel products. It is not intended for use by an actual airline, but rather by simulators or other airline-related modules of
Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation.
For more information and updates please see our website - http://reorjs.com.
That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
experimaestro is an experiment manager, and is composed of (1) a job scheduler that handles dependencies and locking (2) a modular experiment description framework, that allows easy description of the various parts of an experiments.
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