Abstract: Even though realistic dynamic models are a key prerequisite for managing modern power systems, accurately parameterized dynamic models are often not available. Therefore, this paper examines ...

The guide below is devoted to PyTorch – an open-source machine learning (ML) framework based on the Python programming language and the Torch library. We will explore how it works, discuss its key ...

Multiobjective optimization (MOO) is pivotal in machine learning, enabling researchers to balance multiple conflicting objectives in real-world applications. These applications include robotics, fair ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

Understanding how convolutional neural networks (CNNs) operate is essential in deep learning. However, implementing these networks, especially convolutions and gradient calculations, can be ...