Learn best practices of MATLAB and Simulink products, get answers from domain experts
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Join us for a hands-on workshop session where we will demonstrate the workflows offered by MATLAB and Simulink. From data-driven, AI-based solutions to technical and rigorous physics-based simulations, you will gain valuable insights and practical knowledge. This workshop is suitable for anyone who are interested in learning about the workflow for developing Predictive Maintenance (PdM) Algorithms with MATLAB and Simulink.
Read MoreIn this hands-on workshop, participants will learn how to apply principles of AI (machine learning, deep learning, domain-specific preprocessing) to visual inspection workflows.
Read MoreJoin us for a transformative webinar on Predictive Maintenance with MATLAB and Simulink, exploring a captivating case study of a packaging machine. Discover how this innovative approach revolutionizes maintenance strategies, enhances efficiency, and leads to substantial cost savings
Read MoreIn this webinar, we learn of the application deployment tools and workflows that MATLAB users can employ to place their applications in the hands of their users. See how MATLAB Compiler tools allow you to create executables, host web apps and package your data in production servers.
Read MoreMathWorks medical devices webinar series introduces the best practices in developing medical devices. Our experts will showcase and discuss the latest trends and capabilities in the areas of medical device research, prototyping, verification, and compliance with FDA/MDR regulations for device certification using MATLAB® and Simulink®.
Read MoreIn this webinar, you will learn how to build data-driven fault detection algorithms for induction motors – even if you aren’t a machine learning expert. Starting with a dataset collected from motor hardware, we will walk through the end-to-end process of developing a predictive maintenance algorithm.
Read MoreIn this webinar, you will learn about single- and multi-user MIMO in 5G NR, as well as common beamforming techniques and scenarios. We will cover different techniques to estimate the channel or channel information for beamforming purpose, how the UE communicates the necessary information back to the gNodeB, the different options for SU-MIMO vs MU-MIMO, and how to simulate a complete link with adaptive beamforming in MATLAB with 5G Toolbox.
Read MoreIn this webinar, you will learn how to develop and test motor control algorithms in real-time without leaving the MATLAB and Simulink environment. In this webinar, MathWorks engineers will show how to validate control algorithms on real-time systems with Speedgoat hardware. For Hardware-in-the loop (HIL) testing, we will be showing how to easily validate the embedded software by using a configurable prebuilt FPGA bitstream of the plant model.
Read MoreIn this webinar, you will learn how to end-2-end develop high integrity systems using MATLAB, Simulink and Polyspace family of products. Hereby, you will learn how developing application software is ideally performed with Model-Based Design and production code generation, and how manual coding can support the development of non-application software components. You will also learn what Model-Based Design offers for effective and efficient integration and integration testing of application and non-application software.
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