SBS Banking Platform
SBS Banking Platform is a flexible, cloud-native solution that empowers financial institutions to scale at their own pace, offering seamless, digital-first experiences anytime and anywhere. As a fully integrated, front-to-back platform, it drives innovation across a wide range of sectors, including retail, corporate, and neobanking. Whether it’s digital and open banking, deposits, payments, lending, or compliance, SBS Banking Platform provides the tools and infrastructure needed for financial institutions across EMEA to stay ahead of the competition. The platform’s versatility allows for tailored solutions, enabling banks to innovate and meet evolving customer demands. Trusted by top-tier banks, SBS Banking Platform is widely recognized by industry leaders such as Gartner, Forrester, NelsonHall, and IBS for its transformative impact on the financial services landscape. Recent accolades, including recognition by Omdia for digital banking, Chartis for regulatory reporting, and NelsonHall for Cloud, SaaS & BPaaS, highlight the platform’s role in driving progress and excellence in the financial sector.
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gtechna’s smart parking management and enforcement solution is trusted by leading cities worldwide. Our cloud-based system empowers municipalities, transportation agencies, and universities with cutting-edge applications that increase parking revenue, cut operational costs, and improve the driver experience.
By choosing gtechna for your parking management and enforcement needs, you're partnering with an industry leader known for constant innovation. Cities like Washington, D.C., Boston, Pittsburgh, Toronto, and Vancouver have already transformed their parking infrastructure with gtechna—now it's your turn to experience the future of parking.
Upgrade to a scalable parking management and
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DataMelt
DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming.
DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.
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QMSys GUM
The QMSys GUM Software is designed for assessing the uncertainty inherent in physical measurements, chemical analyses, and calibration processes. It employs three distinct methodologies to compute measurement uncertainty. The first, GUF Method for linear models, targets linear and quasi-linear models, aligning with the GUM Uncertainty Framework. This approach calculates partial derivatives, representing the initial terms of a Taylor series, to ascertain sensitivity coefficients for the equivalent linear model, followed by the determination of combined standard uncertainty using the Gaussian error propagation law. The second, GUF Method for nonlinear models, caters to nonlinear models where results exhibit symmetric distribution. This method incorporates various numerical techniques, including nonlinear sensitivity analysis and higher-order sensitivity indices, as well as quasi-Monte Carlo simulations utilizing Sobol sequences. With its multifaceted approach, the software provides comprehensive tools for uncertainty analysis across different measurement contexts.
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