Learn how to model with AI an operational amplifier precision half-wave rectifier, which can help overcome challenges ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Abstract: In Central America there is great interest in links through independent channels such as those offered by satellite systems, however, there are still not many alternatives to test ...

Eligibility Criteria: Are you an undergraduate or graduate student, a government employee in science or technology, or an academic researcher? This course is for you. Even users on CIET or CEC-UGC ...

DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning ...

Editor’s Note: This is the second article in a three-part series about software defined radios in GPS/GNSS simulators. Part 1: About GPS and various techniques that are used to advance signal ...

Computational methods in protein engineering often require encoding amino acid sequences, i.e., converting them into numeric arrays. Physicochemical properties are a typical choice to define encoders, ...