Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which often ...

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...

With MATLAB® Support Package for Raspberry Pi™ Hardware, you can remotely communicate with a Raspberry Pi computer and use it to control peripheral devices. This support allows you to acquire data ...

Python and MATLAB are valuable for an electrical engineer's career, but the better choice depends on your field, industry, and career goals. Electrical engineers face many challenges: dealing with ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Today’s best robotics courses offer hands-on experience with circuits, ROS, Lidar, and more. Robots are everywhere, from the assembly line of major factories to the vacuums cleaning the living room ...

Photoplethysmography is a non-invasive technique used for measuring several vital signs and for the identification of individuals with an increased disease risk. Its principle of work is based on ...

TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. TensorFlow.NET is a library that provides a .NET Standard binding for TensorFlow, allowing ...

The deep learning algorithm trained with structural MR images detected schizophrenia in randomly selected images with reliable performance (area under the receiver operating characteristic curve [AUC] ...

SEPIA is a tool providing a graphical user interface to build data processing pipeline of quantitative susceptibility mapping (QSM) in Matlab. The current GUI version is built to access the following ...