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What is ndCurveMaster?

ndCurveMaster is an advanced software solution tailored for fitting curves across multiple variables. It seamlessly applies nonlinear equations to datasets that consist of either observed or measured values. This versatile tool accommodates curve and surface fitting across dimensions ranging from 2D to 5D and beyond. Regardless of the complexity or the number of variables, ndCurveMaster is equipped to process any type of data. For instance, it can effectively determine the ideal equations for a dataset featuring six input variables (x1 through x6) and an output variable Y, exemplified by an equation such as Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2, which accurately reflects the measured values. Employing machine learning numerical techniques, ndCurveMaster automatically identifies the most appropriate nonlinear regression function for your dataset, revealing the intricate relationships between inputs and outputs. The software supports a variety of curve fitting methods, encompassing linear, polynomial, and nonlinear approaches. Additionally, it incorporates critical validation and goodness-of-fit assessments to ensure precision. It further enhances its capabilities by providing sophisticated evaluations, including the identification of overfitting and multicollinearity through tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix, making it an invaluable resource for data analysis. Overall, ndCurveMaster stands out as a robust tool for researchers and analysts seeking to understand complex data relationships.

What is DataCurrent?

The real-time observation of rainfall using rain gauges allows operations teams to swiftly recognize possible flooding or sewer overflow incidents. By meticulously monitoring and analyzing precipitation levels across multiple locations, one can estimate rainfall in regions that lack direct measurement, employing the technique known as “Distributed Rainfall Modelling Technique” (DRMT). Moreover, merging rainfall radar data with rain gauge measurements enhances the creation of detailed rainfall coverage maps. Analyzing historical rainfall statistics also aids in developing rainfall intensity-duration curves, which can be matched against the region's design intensity-duration-frequency curves, facilitating the determination of return periods for significant events through forensic examination. Additionally, new intensity-duration-frequency curves can be established, influencing the design of essential drainage infrastructure such as sewers, channels, and storage systems. The ongoing analysis of flow data, in conjunction with rainfall information, leads to the formation of rainfall versus stormwater runoff response curves, which play a crucial role in accurately calibrating drainage models. This thorough methodology guarantees that urban planning and flood management initiatives are not only informed but also adapt effectively to real-time environmental conditions, ultimately enhancing community resilience to extreme weather events.

Media

Media

Integrations Supported

Pascal
Python

Integrations Supported

API Availability

API Availability

Pricing Information

€289
ndCurveMaster WIN/MAC – Web Download
LIFETIME License
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

SigmaLab Tomas Cepowski

Date Founded

2017

Company Location

Poland

Company Website

www.ndcurvemaster.com

Company Facts

Organization Name

Smart City Water

Company Location

Canada

Company Website

smartcitywater.ca/datacurrent/

Categories and Features

Statistical Analysis

Analytics
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Visualization

Categories and Features

Data Virtualization

Not specified

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