Abstract: With the increased extent of synchrophasor-based wide area monitoring systems in modern large-scale power systems, more data-limited classification of fault events in smart grids becomes ...

Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...

Abstract: When planet bearing operates under a complex and variable environment, the fault signal is often coupled with signals from other transmission components and is influenced by the transmission ...

This repository provides accurate tensor core models written in MATLAB. It also includes parts of the model validation data which is used to refine the models as shown in [1]. The initial analysis of ...

First, we install the PyTorch and matplotlib libraries using pip, ensuring you have the necessary tools for building neural networks and visualizing the results in your Google Colab environment. Copy ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...

Many modern datasets are sampled with error from complex high-dimensional surfaces. Methods such as tensor product splines or Gaussian processes are effective and ...

Yuanyuan Shi has been named a 2024 AI2050 Early Career Fellow by Schmidt Sciences. This honor recognizes Shi's work developing AI-driven building control systems to optimize indoor air quality while ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. As soon as an appropriate mathematical model is developed, it can ...

SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis It is widely hoped that artificial intelligence will boost ...